Brezis-Nirenberg problems for mixed local-nonlocal operators with superlinear perturbations: compactness and applications


Abstract

In this paper, we consider the following mixed local nonlocal Brezis-Nirenberg problem \[\label{crit95pro95abstract}_{2^*}} -\Delta u+(-\Delta)^s u=\lambda |u|^{p-2}u+|u|^{2^*-2}u\text{ in }\Omega,\quad u=0\text{ in }\mathbb{R}^N \setminus \Omega,\] {#eq:crit95pro95abstract} where \(\Omega\subset\mathbb{R}^N\) is a bounded domain, \(N\geq3\), \(s\in(0,1)\), \(\lambda>0\), and \(2\leq p<2^*=\frac{2N}{N-2}\). We establish a compactness result for the following class of subcritical/critical problems \[\label{sub95pro95abstract}_{p_n}} -\Delta u+(-\Delta)^s u=\lambda |u|^{p-2}u+|u|^{p_n-2}u\text{ in }\Omega,\quad u=0\text{ in }\mathbb{R}^N \setminus \Omega,\] {#eq:sub95pro95abstract} where \(p_n \in (p,2^* ]\) and \(p_n\to 2^*\). Specifically, for \(p \in (2+\frac{4s}{N-2},2^*)\) when \(N>6-4s\), and for \(p \in (2^*-1,2^*)\) when \(N\leq6-4s\), we prove that any bounded sequence of solutions \(\{u_n\}\) to eq:sub95pro95abstract? is relatively compact in the energy space, and converges strongly to a nontrivial solution to eq:crit95pro95abstract? . To the best of our knowledge, this is the first paper to address this type of compactness result for a non-homogeneous operator. Due to the presence of the non-homogeneous operator, our proof requires a non-trivial adaptation of the methods developed by Devillanova and Solimini (Adv. Differential Equations, 2002) and Yan, Yang, and Yu (J. Funct. Anal., 2015). As an application of this compactness result, under the same ranges of \(N\) and \(p\), we prove that eq:crit95pro95abstract? admits infinitely many sign-changing solutions. We anticipate that our methodology will be applicable to a broader class of related problems.

1 Introduction↩︎

This paper deals with the following superlinear Brezis-Nirenberg problem driven by the mixed local-nonlocal operator: \[_{2^*}}\label{main95PDE} \begin{cases} -\Delta u+(-\Delta)^su=\lambda |u|^{p-2}u+|u|^{2^\ast-2}u \; &\text{in }\Omega,\\ u=0&\text{in }\mathbb{R}^N\setminus \Omega, \end{cases}\tag{1}\] where \(\Omega\subset \mathbb{R}^N\) is a bounded open set with \(\mathcal{C}^{1,\alpha}\) boundary, \(N \ge 3\), \(s\in(0,1)\), \(\lambda> 0\) is a parameter, \(2\leq p<2^*\) where \(2^* = \frac{2N}{N-2}\) is the critical Sobolev exponent, and fractional Laplacian is defined for smooth enough functions as \[(-\Delta)^su(x)=c_{N,s}\,\text{P.V.}\int_{\mathbb{R}^N}\frac{u(x)-u(y)}{|x-y|^{N+2s}}\,{\rm d}x\,{\rm d}y,\] where \(c_{N,s}\) is a normalization constant.

1.1 Main results↩︎

We first consider the space \[X_0(\Omega):=\left\{u\in H^1(\mathbb{R}^N):u|_{\Omega}\in H_0^1(\Omega),\, u=0\text{ a.e. in }\mathbb{R}^N\setminus\Omega\right\}.\] It is easy to see that \(X_0(\Omega)\) is a Hilbert space with the norm \[\rho(u):=\left(\|\nabla u\|_2^2+[u]_s^2\right)^{\frac{1}{2}},\] which is associated with the inner product \[\langle u,v\rangle=\int_{\Omega}\nabla u\cdot\nabla v\,{\rm d}x+\iint_{\mathbb{R}^{2N}}\frac{(u(x)-u(y))(v(x)-v(y))}{|x-y|^{N+2s}}\,{\rm d}x\,{\rm d}y.\] Here \([\cdot]_s\), called the Gagliardo seminorm, is defined as \[[u]_s^2=\iint_{\mathbb{R}^{2N}}\frac{|u(x)-u(y)|^2}{|x-y|^{N+2s}}\,{\rm d}x\,{\rm d}y.\] Note that that the norm \(\rho\) is equivalent to the gradient norm \(\norm{\nabla\cdot}_{L^2(\Omega)}\) and as a consequence, \(X_0(\Omega)\) is continuously embedded into \(L^r(\Omega)\) for every \(r\in[1,2^*]\) and the embedding is compact for \(r<2^*\). A function \(u\in X_0(\Omega)\) is a said to be a weak solution to \[-\Delta u+(-\Delta)^su=f(u)\text{ in }\Omega, \quad u=0\text{ in }\mathbb{R}^N \setminus \Omega,\] if for every \(v\in X_0(\Omega)\) it holds \[\label{weak} \int_{\Omega}\nabla u\cdot\nabla v\,{\rm d}x+\iint_{\mathbb{R}^N}\frac{(u(x)-u(y))(v(x)-v(y))}{|x-y|^{N+2s}}\,{\rm d}x\,{\rm d}y=\int_{\Omega} f(u)v\,{\rm d}x.\tag{2}\] We now present our main theorem, which asserts that every bounded sequence of weak solutions associated with a family of superlinear perturbation of subcritical/critical problems converges strongly in \(X_0(\Omega)\) to a weak solution of the critical problem 1 . This is known as ‘compactness’ in the literature.

Theorem 1 (Compactness). Let \(\lambda>0\), \(N \ge 3\), \(s \in (0,1)\) and \[\label{p95cond} p\in\begin{cases} (2+\frac{4s}{N-2},2^*),& \text{if }N>6-4s;\\ (2^*-1,2^*),& \text{if }N\leq 6-4s. \end{cases}\tag{3}\] In addition, we assume that \(s>\frac{1}{2}\) if \(N=3\). Let \(\{u_n\}\) be a bounded sequence in \(X_0(\Omega)\) such that for each \(n \in \mathbb{N}\), \(u_n\) weakly solves \[\label{sub95pro}\begin{cases} -\Delta u+(-\Delta)^su=\lambda |u|^{p-2}u+|u|^{p_n-2}u&\text{in }\Omega,\\ u=0&\text{in }\mathbb{R}^N\setminus \Omega, \end{cases}\tag{4}\] where \(p_n\in(p,2^* ]\) and \(p_n\to 2^*\). Then, up to a subsequence, \(u_n \rightarrow u\) in \(X_0(\Omega)\) and \(u\) weakly solves 1 .

Regarding the compactness result, we make a few remarks. Set \[p_0:=\begin{cases} 2+\frac{4s}{N-2},& \text{if }N>6-4s;\\ 2^*-1, &\text{if }N\leq6-4s. \end{cases}\]

Remark 2. One may expect the compactness phenomenon to persist for all \(p>2\). On the other hand, in the limiting case \(p=2\), compactness cannot, in general, be expected. To see this, first notice that if \(p=2\) and \(\lambda<\lambda_1\), where \(\lambda_1\) is the first eigenvalue of \((-\Delta+(-\Delta)^s,\Omega)\) and \(\{u_n\}\) is a bounded sequence of nontrivial solutions to 4 , then if the compactness Theorem 1 holds that would imply \(u_n\to u_0\) for some \(u_0\in X_0\). Further, \[\rho(u_n)^2 = \lambda \|u_n\|_2^2 + \|u_n\|_{p_n}^{p_n} \leq \frac{\lambda}{\lambda_1}\rho(u_n)^2 + C^{p_n}\rho(u_n)^{p_n}.\] In other words, \[\rho(u_n) \geq \left(\frac{\lambda_1-\lambda}{\lambda_1}\right)^{\frac{1}{p_n-2}} C^{\frac{-p_n}{p_n-2}}.\] Since \(p_n\to 2^*\), it follows that \(\rho(u_n)\geq C\) for some \(C\) independent of \(n\) and hence \(\rho(u_0)\geq C\). Now following the same method as in the proof of Theorem 5 would imply \(u_0\) is a nontrivial solution to 1 with \(p=2\) for every \(\lambda<\lambda_1\). However, the Pohozaev identity [1] implies 1 does not have any nontrivial solution when \(p=2\) and \(\lambda<(1-s)\lambda_{1,s}<\lambda_1\), where \(\lambda_{1,s}\) is the first eigenvalue of \(((-\Delta)^s,\Omega)\). Hence for \(p=2\) and \(\lambda>0\) small Theorem 1 fails. In this direction, it may also be natural to raise the following question:

Question: Does the compactness result remain valid for the linear perturbation problem (i.e., \(p=2\)) when \(\lambda>0\) is sufficiently large, and more generally for all \(p>2\) and every \(\lambda\)?

Remark 3. If \(\{u_n\}\) is a sequence of nontrivial solutions to 4 , uniformly bounded in \(X_0(\Omega)\), then the limit \(u\), in Theorem 1 can not be trivial. To see this, we observe that, by the Sobolev inequality, \[\begin{align} &\rho(u_n)^2=\lambda\|u_n\|_p^p+\|u_n\|_{p_n}^{p_n}\leq\lambda C\rho(u_n)^p+C\rho(u_n)^{p_n}\Longrightarrow1\leq \lambda C \rho(u_n)^{p-2}+C\rho(u_n)^{p_n-2}. \end{align}\] If the limit \(u\equiv0\) then \(\rho(u_n)\to0\). Since \(2<p<p_n\), we obtain a contradiction.

Remark 4. The assumptions on \(N\) and \(p\) arise naturally from the blow-up analysis. Whereas the assumption \(s>\frac{1}{2}\) in the case \(N=3\) is technical in nature; it is specifically required to ensure that the local Talenti bubbles belong to the space \(\dot{H}^s(\mathbb{R}^N)=\overline{\mathcal{C}_c^\infty(\mathbb{R}^N)}^{[\cdot]_s}\).

Due to the presence of the critical nonlinearity, the energy functional associated to 1 fails to satisfy the Palais-Smale condition for every \(c\in\mathbb{R}\). Consequently, the minimax theorem cannot be applied directly to obtain infinitely many solutions. As an application of Theorem 1, we also obtain the existence of infinitely many sign-changing solutions as stated in the following theorem:

Theorem 5. Let \(N \ge 3\), \(\lambda>0\) and \(s \in (0,1)\). We assume that \(s>\frac{1}{2}\) if \(N=3\). Suppose 3 holds. Then 1 admits infinitely many sign-changing solutions.

Remark 6. (a) A closer examination of 1 and 4 naturally leads to the following question: what happens if one perturbs the lower order term instead of the critical term? Let \[S_p:=\text{set of all weak solutions to \eqref{main95PDE} in X_0(\Omega).}\] By Theorem 5, when 3 holds, \(S_p\) has infinitely many elements for each \(p\). Set \[\begin{align} S:= \underset{p\in(p_0,2^*)}{\bigcup} S_p. \end{align}\] Clearly, if \(\{v_n\}\subseteq S_p\) for some fixed \(p\in(p_0,2^*)\), then using Theorem 1, \(\{v_n\}\) has a strongly convergent subsequence in \(X_0(\Omega)\).

(b) Now consider the case where \(v_n\in S_{p_n}\) for \(p_n\in (p_0,2^*)\). That is, for each \(n \in \mathbb{N}\), \(v_n\) weakly solves \[\label{lim95sup95pro} \begin{cases} -\Delta u+(-\Delta)^su=\lambda |u|^{p_n-2}u+|u|^{2^*-2}u&\text{in }\Omega,\\ u=0&\text{in }\mathbb{R}^N\setminus \Omega. \end{cases}\tag{5}\] Adapting the arguments used in the proof of Theorem 1, we observe that (up to a subsequence) if \(p_n\to \hat{p} \in[p_0, 2^*)\), then \(\{v_n\}\) is relatively compact in \(X_0(\Omega)\).

1.2 Literature review↩︎

Consider the purely local problem \[\label{loc95BrNi2} -\Delta u=\lambda|u|^{p-2}u+|u|^{2^*-2}u \; \text{ in }\Omega,\quad u=0\;\text{ on }\partial\Omega.\tag{6}\] The case \(p=2\) is corresponds to the classical Brezis-Nirenberg problem, while \(p>2\) gives a superlinear perturbation.

In the case \(p=2\), Brezis and Nirenberg, in their seminal work [2], showed that

  1. 6 has no nontrivial solution on any star-shaped domains for \(\lambda\leq0\);

  2. There exists \(\lambda^*\in[0,\mu_1)\) such that 6 has a positive solution for all \(\lambda\in [\lambda^*,\mu_1)\), where \(\mu_1\) is the first Dirichlet eigenvalue of \((-\Delta,\Omega)\). If \(N\geq4\), \(\lambda^*=0\) and if \(N=3\) and \(\Omega\) is a ball then \(\lambda^*=\frac{\mu_1}{4}\);

  3. 6 does not admit any positive solution for \(\lambda\geq\mu_1\).

Since then, various multiplicity results have been obtained by many authors. One of the important contributions in this direction was made by Devillanova and Solimini. In [3], they proved the following: let \(N\geq7\), \(\lambda>0\) and \(U\) be a bounded set in \(H_0^1(\Omega)\) whose elements are weak solutions to \[\label{loc95BrNi1} -\Delta u=\lambda u+|u|^{q-2}u \; \text{ in }\Omega,\quad u=0\;\text{ on }\partial\Omega,\tag{7}\] for \(q\) varying in \([2,2^*]\). Then \[\sup_{u\in U}\sup_{x\in\Omega}|u(x)|\leq C.\] This in turn implies a compactness result similar to Theorem 1. As an application of the compactness result, using standard minimization arguments, they proved the existence of infinitely many nontrivial solutions to 6 for any \(\lambda>0\) provided \(N\geq7\). This is an important contribution because the existence of infinitely many nontrivial solutions to 6 was known only when \(\Omega\) is a symmetric domain. For instance, in [4], Fortunato and Jannelli proved the existence of infinitely many non-trivial solutions of 6 for \(N\geq4\), \(\lambda>0\) and \(\Omega\) satisfying some symmetry conditions. However, the result of Devillanova and Solimini does not require any symmetry assumption on \(\Omega\).

Observe that, the restriction \(N\geq7\) in the compactness theorem of Devillanova and Solimini can not be removed for \(\lambda>0\) small. To see this, note that when \(\Omega\) is a ball, minimizing over the space of radial functions, compactness theorem implies the existence of infinitely many radial solutions to 6 for any \(\lambda>0\). For \(N\geq3\) and \(\lambda>0\), Srikanth [5] proved that 6 admits at most one positive solution when \(\Omega\) is a ball. Hence, 6 has infinitely many radial sign-changing solutions. However, for \(4\leq N \leq 6\) and \(\Omega\) is a ball, Atkinson, Brezis and Peletier in [6] showed that 6 does not admit any radial sign-changing solution if \(\lambda>0\) is small enough. Hence, \(N\geq 7\) is crucial in the theorem of Devillanova and Solimini.

Schechter and Zou in [7] proved an abstract critical point theorem and using it along with the compactness theorem of Devillanova and Solimini, they established the existence of infinitely many sign-changing solutions of 6 for all \(\lambda>0\) when \(N\geq7\).

Next, for the superlinear perturbation case (i.e. \(p>2\)), Brezis and Nirenberg in [2] also showed that

  1. If \(N\geq4\) or \(N=3\) and \(p\in(4,6)\), 6 has a positive solution for every \(\lambda>0\).

  2. If \(N=3\) and \(p\in(2,4]\) , 6 has a positive solution for \(\lambda\) large enough.

Servadei and Valdinoci in [8], [9] studied the following fractional analog of 6 , namely \[\label{nonloc95BrNi1} (-\Delta)^su=\lambda|u|^{p-2}u+|u|^{2_s^*-2}u\;\text{ in } \Omega,\quad u=0\; \text{ in }\mathbb{R}^N\setminus\Omega,\tag{8}\] where \(2_s^*=\frac{2N}{N-2s}\) is the nonlocal critical Sobolev exponent.
In the case \(p=2\), they proved that

  1. for \(N\geq4s\) and for any \(\lambda\in(0,\lambda_{1,s})\), 8 admits a positive solution;

  2. for \(2s< N<4s\) there exists \(\lambda_s>0\) such that for any \(\lambda>\lambda_s\), 8 has a nontrivial solution.

When \(p\in(2,2_s^*)\), Barrios, Colorado, Servadei and Soria in [10] showed that

  1. for \(N>\frac{2s(p+2)}{p}\) and \(\lambda>0\) or \(N<\frac{2s(p+2)}{p}\) and \(\lambda>0\) sufficiently large, 8 admits a positive solution.

Following the arguments of [3] and using the Caffarelli-Silvestre extension method, Yan, Yang and Yu [11] demonstrated a compactness result, comparable to Theorem 1, for the spectral Laplace counterpart of 8 when \(N>6s\) . Building on the compactness result of [11], Li, Su and Tersian [12] leveraged those findings to prove the existence of infinitely many sign-changing solutions. However, to our knowledge, it remains an open question whether this compactness result holds for the case \(N \leq 6s\).

Finally, we mention some known existence results for the mixed local nonlocal Brezis-Nirenberg problems. Biagi, Dipierro, Valdinoci and Vecchi [13] recently proved that
when \(p=2\),

  1. for \(\lambda\leq0\), 1 has no nontrivial solution;

  2. there exists \(\lambda^*\in[\lambda_{1,s},\lambda_1)\) such that for any \(\lambda\in(\lambda^*,\lambda_1)\), 1 has a positive solution;

  3. for \(0<\lambda\leq \lambda_{1,s}\), 1 has no positive solution belonging to a certain ball in \(L^{2^*}(\mathbb{R}^N)\);

  4. for \(\lambda\geq\lambda_1\), 1 does not admit any positive solution;

and when \(p \in (2,2^*)\), set \[\label{Biagi95cond} \kappa_{s,N}:=\min\{2-2s,N-2\},\quad\beta_{p,N}:=N-\frac{p(N-2)}{2},\tag{9}\]

  1. if \(\kappa_{s,N}>\beta_{p,N}\), then 1 admits a positive solution for every \(\lambda>0\);

  2. if \(\kappa_{s,N}\leq\beta_{p,N}\), then 1 admits a positive solution for \(\lambda\) large enough.

Regarding the multiplicity of nontrivial solutions to the mixed local-nonlocal problems, da Silva, Fiscella and Viloria in [14] showed that

(1) for \(p=2\), 1 admits \(m\) pairs of nontrivial solutions when \(\lambda>\lambda_{k+1}-\mathcal{S}_N|\Omega|^{-\frac{2}{N}}\) and \(\lambda_{k}\leq \lambda<\lambda_{k+1}=\cdots=\lambda_{k+m}<\lambda_{k+m+1}\), where \(\mathcal{S}_N\) is the best constant in the Sobolev inequality 21 ;

(2) for \(p>2\), there exists \(\lambda_{**}>0\) such that for any \(\lambda\in(0,\lambda_{**})\), 1 admits at least \(\text{cat}_{\Omega}(\Omega)\) many nontrivial solutions. They employed Ljusternik-Schnirelmann category theory to establish this result.

Remark 7. Observe that when \(N>6-4s\), the condition \(p>2+\frac{4s}{N-2}\), in the hypothesis of our Theorem 5, is equivalent to \(\kappa_{s,N}>\beta_{p,N}\).

1.3 Difficulties and Strategies↩︎

To prove Theorem 1, we follow the strategy by Devillanova and Solimini in [3]. The same strategy has been modified and applied to prove similar compactness theorems for other elliptic operators, such as the \(p\)-Laplace operator [15], spectral Laplace operator [11] and other quasilinear operators (see e.g. [16]). We briefly outline the main idea. Observe that \(\{u_n\}\) is a Palais-Smale sequence of \(I_\lambda\). Thus, using the Palais-Smale decomposition of the energy functional associated with 1 , (see Proposition 12, also see [17] for \(p=2\)) \(u_n\) can be decomposed as the sum of the weak limit of \(u_n\) and finitely many local Talenti bubbles. To establish strong convergence, it remains to prove that no such bubbles arise in the decomposition.

For the classical Brezis-Nirenberg problem 6 with \(p=2\), Devillanova and Solimini considered a safe region suitably away from any concentration points of the Talenti bubbles. In that safe region, they showed boundedness and some gradient estimates of \(u_n\). Using the local Pohozaev’s identity on a ball centred at a concentration point, with the boundary lying inside the safe region, they obtain control over the \(L^2\) mass of \(u_n\) in the whole ball via boundary integrals inside the safe region. Exploiting the estimates in the safe region yields an upper bound, while the Palais-Smale decomposition together with the asymptotic behaviour of the bubbles provides a corresponding lower bound. A comparison of these bounds ultimately shows that no bubbles can occur when \(N\geq7\).

Next, we discuss some key steps and difficulties for proving Theorem 1:

  1. To get estimates on \(u_n\), Devillanova and Solimini used the following identity \[\label{form951} \frac{\,{\rm d}}{\,{\rm d}t}\left(\frac{1}{t^{N-1}}\int_{\partial B_t^N(x_0)}u(y)\,{\rm d}S\right)+\left(\frac{1}{t^{N-1}}\int_{B_t^N(x_0)}(-\Delta u(y))\,{\rm d}y\right)=0,\tag{10}\] where \(B_t^N(x_0)\subset\Omega\). Similarly, for 8 , Yan et al. employed a related identity based on Caffarelli-Silvestre’s extension of \(u\). Inspired by [15], we obtain the following expression through the application of the weak Harnack inequality [18] and the Wolff potential estimates [19]: \[\label{form952} \left(\frac{1}{r^N}\int_{B_r^N(x_0)}u^\gamma\,{\rm d}x\right)^{\frac{1}{\gamma}}\leq C+C\int_r^R\left(\frac{1}{\rho^{N-1}}\int_{B_\rho^N(x_0)}|(-\Delta u+(-\Delta)^su)|\,{\rm d}x\right)\,{\rm d}\rho,\tag{11}\] for any \(\gamma\in[1,\frac{N}{N-2})\).

  2. After establishing \(L^\gamma\) estimate for some \(\gamma\), [11], [15] used the Moser iteration to get the local boundedness. However, due to the presence of a nonlocal term, Moser iteration for the mixed local-nonlocal problem introduces a tail term (see [18]). We observe that, due to the presence of the tail term, the method of Devillanova and Solimini can not be applied directly.

  3. To the best of our knowledge, the local Pohozaev’s identity is not known for the fractional Laplacian operator and also for the mixed operator.

  4. In view of the above two difficulties, following [11], we consider Caffarelli-Silvestre’s (CS) extension for 1 . Although a Moser iteration scheme can still be implemented in the CS extension set-up, the nonhomogeneous nature of the operator prevents a direct application of the techniques used in [11], [15] to obtain the desired \(L^\gamma\) estimates. We also mention that the use of CS extension has recently been applied in the context of mixed local-nonlocal operators, see [20].

  5. In Theorem 1, we prove a local Pohozaev’s identity for the CS extension of 1 . In this case, the local Pohozaev’s identity yields (see Subsection 2.5): \[\lambda\int_{B^N_{\sigma_n^{-\frac{1}{2}}}(x_n)}|u_n|^p\,{\rm d}x\leq \text{Boundary integrals}+C\int_{B^{N+1}_{\sigma_n^{-\frac{1}{2}}}(x_n,0)\cap\{y>0\}}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y,\] where \(U_n\) is the Caffarelli-Silvestre extension of \(u_n\), and \(\sigma_n, \,(x_n,0)\) are respectively the blow-up rate and the concentration point of the slowest concentrating bubble in the (PS) decomposition of \(\{U_n\}\) (see the Subsection 2.2). Using the estimates obtained on the safe region, we have \(\text{Boundary integrals}\leq C\sigma_n^{1-\frac{N}{2}}\). Also, using the bubble behaviour, we get \[\begin{align} & \lambda\int_{B^N_{\sigma_n^{-\frac{1}{2}}}(x_n)}|u_n|^p\,{\rm d}x\geq C\lambda\sigma_n^{\frac{(N-2)p}{2}-N}, \quad\text{ and } \\ &\int_{B^{N+1}_{\sigma_n^{-\frac{1}{2}}}(x_n,0)\cap\{y>0\}}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y\sim \sigma_n^{2s-2}. \end{align}\] This implies \[\sigma_n^{\frac{N-2}{2}p-N}\leq C\sigma_n^{2s-2}+C\sigma_n^{1-\frac{N}{2}}\leq\begin{cases} C\sigma_n^{2s-2},&\text{ if }N>6-4s;\\ C\sigma_n^{1-\frac{N}{2}},&\text{ if }N\leq6-4s. \end{cases}\] We observe that the above inequality, with the fact that \(\{\sigma_n\}\) is unbounded, implies \[\begin{cases} \frac{N-2}{2}p-N\leq 2s-2\Longrightarrow p\leq 2+\frac{4s}{N-2},&\text{ if }N>6-4s;\\ \frac{N-2}{2}p-N\leq1-\frac{N}{2}\implies p\leq 2^*-1,&\text{ if }N\leq6-4s. \end{cases}\] Therefore, in the ranges mentioned in the hypothesis of Theorem 1, no bubble can appear in the decomposition. We emphasize that this is the only step where the restriction on \(p\) arises.

Remark 8. As discussed in [loc95poh95diff] above, the condition on \(p\) appears because of the method we follow. In this method, the following quantity \[\int_{B^{N+1}_{\sigma_n^{-\frac{1}{2}}}(x_n,0)\cap\{y>0\}}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y\] in the local Pohozaev’s identity is hindering us to get the compactness result till \(p=2\). This term emerges from the non-homogeneous nature of the mixed operator rather than from the nonlinearity. This suggests that one may possibly encounter a similar situation in other mixed local-nonlocal problems when employing this method.

As mentioned before, a key step in proving the existence of infinitely many solutions to 1 is the analysis of the compactness established in Theorem 1. The same strategy has been implemented to obtain the existence of infinitely many solutions for different elliptic operators (see e.g. [3], [11], [15]). To prove the existence of infinitely many sign changing solutions, we apply the methods developed by Schechter and Zou [7].

1.4 Outline and Notation↩︎

The paper is organized as follows: Section 2 establishes a (PS) decomposition for the CS extension of 1 and provides several key estimates over the safe regions to rule out bubbles in the decomposition. This section concludes with the proof of the compactness theorem. In Section 3, we utilize these results to prove the existence of infinitely many sign-changing solutions to 1 . Appendix 4 contains some technical lemmas.

We use the following notation and convention:

(i) We denote \(\,{\rm d}\mu := \frac{\,{\rm d}x\,{\rm d}y}{|x-y|^{N+2s}}.\)

(ii) We denote \[\mathbb{A}(u,v) := \iint_{\mathbb{R}^{2N}}\frac{(u(x)-u(y))(v(x)-v(y))}{|x-y|^{N+2s}}\,{\rm d}x\,{\rm d}y.\]

(iii) \(B_r^N\) is a ball centered at \(x_0\in\mathbb{R}^N\) and radius \(r\) in \(\mathbb{R}^N\). Every point in \(\mathbb{R}^{N+1}\) is written as \((x,y)\), where \(x\in\mathbb{R}^N\) and \(y\in\mathbb{R}\). We further denote \[\mathbb{R}_+^{N+1}:=\mathbb{R}^{N+1}\cap\{y>0\},\, B_r^+(x_0,0):=B_r^{N+1}(x_0,0)\cap\{y>0\}.\]

(iv) For any open set \(U\subset\mathbb{R}^N\), we denote \[X_0(U):=\left\{u\in H^1(\mathbb{R}^N):u|_{U}\in H_0^1(U),\, u=0\text{ a.e. in }\mathbb{R}^N\setminus U\right\}.\]

(v) We define the space \(\mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})\) as \[\begin{align} \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s}) := \overline{\mathcal{C}_c^{\infty}(\mathbb{R}_+^{N+1})}^{\|\cdot\|_{\mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})}}, \end{align}\] where \[\|\cdot\|_{\mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})}:=\left(\int_{\mathbb{R}_+^{N+1}}y^{1-2s}\abs{\nabla \cdot}^2\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{2}}.\]

(vi) For \(U\in \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})\), we denote the trace of \(U\) on the boundary \(\mathbb{R}^N\times\{y=0\}\) by \(\text{Tr}(U)\).

(vii) We denote \[\mathcal{X}^s(\mathbb{R}_+^{N+1}):=\left\{U\in \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s}):\text{Tr}(U)\in \mathcal{D}^{1,2}(\mathbb{R}^N)\right\}.\]

(viii) We also denote \[\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}):=\left\{U\in \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s}):\text{Tr}(U)\in X_0(\Omega)\right\}.\]

(ix) The Tail term is denoted as \[\text{Tail}(u;x_0,R):=R^2\int_{\mathbb{R}^N\setminus B_R^N(x_0)}\frac{|u(x)|}{|x-x_0|^{N+2s}}\,{\rm d}x.\]

(x) The excess functional is defined as \[E(u;x_0,R):=\fint_{B_R^N(x_0)}|u-(u)_{B_R^N(x_0)}|\,{\rm d}x+\text{Tail}(u-(u)_{B_R^N(x_0)};x_0,R).\]

(xi) \(\norm{\cdot}_p := \norm{\cdot}_{L^p(\mathbb{R}^N)}\) for \(p \in (0, \infty)\).

(xii) \(\,{\rm d}\mathcal{H}^k\) denotes the \(k\)-dimensional Hausdorff measure.

(xiii) \(C\) denotes a generic positive constant.

2 Compactness↩︎

This section is devoted to proving Theorem 1. As discussed in the introduction, we begin with Caffarelli-Silvestre’s extension [21].

2.1 Caffarelli-Silvestre’s extension↩︎

Let \(u\in \dot{H}^s(\mathbb{R}^N)\) and \(E_s(u):=U\in \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})\) be the \(s\)-harmonic extension of \(u\) to the upper half space \(\mathbb{R}_+^{N+1}\), i.e. \(U\) weakly solves \[\begin{cases} \text{div}(y^{1-2s}\nabla U)=0\text{ in }\mathbb{R}_+^{N+1},\\ U(x,0)=u(x)\text{ in }\mathbb{R}^N. \end{cases}\] Then we have the following properties:

(a) \(U\) can be expressed explicitly by means of the Poisson kernel. For \(x\in\mathbb{R}^N,y>0\) , \[\label{Poisson95formula} U(x,y)=\int_{\mathbb{R}^N}P(x-\xi,y)u(\xi)\,{\rm d}\xi,\tag{12}\] where the Poisson kernel \(P(x,y)\) is defined as \[\label{Poisson95kernel} P(x,y)=C_{n,s}\frac{y^{2s}}{(|x|^2+y^2)^{\frac{N+2s}{2}}}, \quad x\in\mathbb{R}^N,\, y>0.\tag{13}\]

(b) The extension is related to the fractional Laplacian in the following way \[\label{DtoN} -C_{N,s}\lim_{y\to0^+}y^{1-2s}\frac{\partial U}{\partial y}(x,y)=(-\Delta)^su(x),\quad x\in\mathbb{R}^N.\tag{14}\]

(c) Due to the relation \[\label{isometry} [u]_s^2=C_{N,s}\int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla U|^2\,{\rm d}x\,{\rm d}y,\tag{15}\] the extension map \(E_s:\dot{H}^s(\mathbb{R}^N)\to \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})\) sending \(u\) to its \(s\)-extension \(U\) is an isometry.

(d) Trace inequality: \[\label{trace95ineq} \|u\|_{L^{2^*}(\mathbb{R}^N)}\leq C\|U\|_{\mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})}.\tag{16}\]

(e) Let \(U\in \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})\) and \(B_r^+(x,0)\subset\mathbb{R}_+^{N+1}\). Then (see [22]) there exist \(C(r),\,\delta=\delta(N,s)>0\) such that for any \(1\leq t\leq\frac{N+1}{N}+\delta\), \[\label{Tan-Xiong} \|U\|_{L^{2t}(B_r^+(x,0),y^{1-2s})}\leq C(r)\|\nabla U\|_{L^2(B_r^+(x,0),y^{1-2s})}.\tag{17}\]

We define the Hilbert space \[\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}):=\left\{U\in \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s}):\text{Tr}(U)\in X_0(\Omega)\right\},\] equipped with the norm \[\tilde{\rho}(U):=\left(\int_{\Omega}|\nabla_x U(x,0)|^2\,{\rm d}x+C_{N,s} \int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla U|^2\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{2}},\quad U\in \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}).\] We also define the Hilbert space \(\mathcal{X}^s(\mathbb{R}_+^{N+1})\) as \[\mathcal{X}^s(\mathbb{R}_+^{N+1}):=\left\{U\in \mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s}):\text{Tr}(U)\in \mathcal{D}^{1,2}(\mathbb{R}^N)\right\},\] equipped with the norm \[\|U\|_{\mathcal{X}^s(\mathbb{R}_+^{N+1})}^2:=\|U\|_{\mathcal{D}^{1,2}(\mathbb{R}_+^{N+1},y^{1-2s})}^2+\|\text{Tr}(U)\|_{\mathcal{D}^{1,2}(\mathbb{R}^N)}^2.\] Using the isometry of the extension map, we have \[\rho(\text{Tr}(U))=\tilde{\rho}(U),\quad U\in \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}).\] Let \(u_n\in X_0(\Omega)\) weakly solve 4 . Then its Caffarelli-Silvestre’s extension \(U_n\in \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) satisfies \[\label{ext95sub95pro} \begin{cases} \text{div}(y^{1-2s}\nabla U_n)=0\text{ in }\mathbb{R}_+^{N+1},\\ U_n(x,0)=u_n(x)\text{ in }\mathbb{R}^N,\\ -\Delta u_n(x)- C_{N,s} \lim_{y\to0^+}y^{1-2s}\frac{\partial U_n}{\partial y}(x,y)=\lambda|u_n|^{p-2}u_n+|u_n|^{p_n-2}u_n. \end{cases}\tag{18}\] The weak formulation of 18 is \[\begin{align} \int_{\Omega}\nabla u_n(x)\cdot\nabla_x\varphi (x,0)\,{\rm d}x& + C_{N,s} \int_{\mathbb{R}_+^{N+1}}y^{1-2s}\nabla U_n(x,y)\cdot\nabla \varphi (x,y)\,{\rm d}x\,{\rm d}y\nonumber\\ &=\int_{\Omega}(\lambda|u_n|^{p-2}u_n+|u_n|^{p_n-2}u_n)\varphi (x,0)\,{\rm d}x,\; \forall \, \varphi \in \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}). \end{align}\] We consider the energy functional \[\label{ext95func} \tilde{I}_\lambda(U)=\frac{1}{2}\tilde{\rho}(U)^2-\frac{\lambda}{p}\int_{\Omega}|U(x,0)|^p\,{\rm d}x-\frac{1}{2^*}\int_{\Omega}|U(x,0)|^{2^*}\,{\rm d}x,\quad U\in \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}).\tag{19}\] Critical points of \(\tilde{I}_\lambda\) weakly solve the extended problem associated with 1 , i.e. \[\label{ext95main95pro} \begin{cases} \text{div}(y^{1-2s}\nabla U)=0\text{ in }\mathbb{R}_+^{N+1},\\ U(x,0)=u(x)\text{ in }\mathbb{R}^N,\\ -\Delta u(x)- C_{N,s} \lim_{y\to0^+}y^{1-2s}\frac{\partial U}{\partial y}(x,y)=\lambda|u|^{p-2}u+|u|^{2^*-2}u\text{ in }\Omega. \end{cases}\tag{20}\]

Remark 9. For the sake of brevity, henceforth we will omit the normalization constant \(C_{N,s}\).

In view of the above discussion, the statement of Theorem 1 can be formulated as follows.

Theorem 10. Let \(N \ge 3\), \(\lambda>0\) and \(s \in (0,1)\). For \(N=3\), we assume that \(s>\frac{1}{2}\). Suppose 3 holds. Let \(\{U_n\}\) be a bounded set in \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) such that for each \(n \in \mathbb{N}\), \(U_n\) weakly solves the problem 18 , where \(p<p_n\leq 2^*,\, p_n\to2^*\) as \(n \rightarrow\infty\). Then, up to a subsequence, \(U_n \rightarrow U\) in \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) and \(U\) weakly solves the critical problem 20 .

Definition 1. A sequence \(\{ U_n \} \subset \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) is said to be a Palais-Smale (PS) sequence for \(\tilde{I}_\lambda\) at level \(\eta\), if \(\tilde{I}_\lambda(U_n) \rightarrow\eta\) and \(\tilde{I}_\lambda'(U_n) \rightarrow 0\) in \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})^*\) as \(n \rightarrow\infty\). The functional \(\tilde{I}_\lambda\) is said to satisfy (PS) condition at level \(\eta\), if every (PS) sequence at level \(\eta\) has a convergent subsequence.

We claim that, up to a subsequence, \(\{U_n\}\) in Theorem 10 is a (PS) sequence for \(\tilde{I}_\lambda\). Using the uniform boundedness of \(\{U_n\}\subset \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) and the trace inequality, we see that \(\{\tilde{I}_\lambda(U_n)\}_n\) is bounded. Observe that for any \(V\in \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\), \[\langle \tilde{I}_\lambda'(U_n),V\rangle=\int_{\Omega}(|u_n(x)|^{p_n-2}u_n(x)-|u_n(x)|^{2^*-2}u_n(x))V(x,0)\,{\rm d}x,\] and \[\||u_n(x)|^{p_n-2}u_n(x)-|u_n(x)|^{2^*-2}u_n(x)\|_{L^{\frac{2^*}{2^*-1}}(\Omega)}\leq C\||u_n|^{2^*-1}+1\|_{L^{\frac{2^*}{2^*-1}}(\Omega)}\leq C.\] Using \(\text{Tr}(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}))\underset{\text{continuous}}{\hookrightarrow} H_0^1(\Omega)\), \(u_n\rightharpoonup u\) in \(H_0^1(\Omega)\) and \(u_n\to u\) a.e. on \(\Omega\). Thus, \(|u_n(x)|^{p_n-2}u_n(x)-|u_n(x)|^{2^*-2}u_n(x)\to0\) a.e. on \(\Omega\) and up to a subsequence \(|u_n(x)|^{p_n-2}u_n(x)-|u_n(x)|^{2^*-2}u_n(x)\rightharpoonup0\) in \(L^{\frac{2^*}{2^*-1}}(\Omega)\). Hence, \(\langle \tilde{I}_\lambda'(U_n),V\rangle\to0\) as \(n\to\infty\) and \(\{U_n\}\) is a (PS) sequence of \(\tilde{I}_\lambda\).

It is worth mentioning that every (PS) sequence of \(\tilde{I}_\lambda\) may not converge strongly due to the noncompactness of the trace embedding \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}) \hookrightarrow L^{2^*}(\Omega)\). Moreover, the weak limit of the (PS) sequence can be zero even if \(\eta>0\). This necessitates studying the profile decomposition of the (PS) sequences for the energy functional 19 associated with 20 . We define a \(C^1\) functional \(\tilde{I}\) on \(\mathcal{D}^{1,2}(\mathbb{R}^N)\) as \[\tilde{I}(u):=\frac{1}{2}\int_{\mathbb{R}^N}|\nabla u|^2\,{\rm d}x-\frac{1}{2^*}\int_{\mathbb{R}^N}|u|^{2^*}\,{\rm d}x, \; u \in \mathcal{D}^{1,2}(\mathbb{R}^N).\]

In the following proposition, we state the profile decomposition of the (PS) sequences for 19 (see also [17]). We need the following remark.

Remark 11. Recall the following critical Sobolev inequality: \[\begin{align} \label{critical} \mathcal{S}_{N}\|u\|_{L^{2^*}(\mathbb{R}^N)}^2 \leq \|\nabla u\|_{L^2(\mathbb{R}^N)}^2, \; \forall \, u \in \mathcal{D}^{1,2}({\mathbb{R}}^N), \end{align}\tag{21}\] where \(\mathcal{S}_{N}\) is the optimal constant. From [23], [24], it is known that every minimizer of 21 lies in the set \(\mathcal{F}\), where \[\label{bubble} \mathcal{F} := \left\{c\lambda^{-\frac{N-2}{2}} \hat{u}\left( \frac{x - x_0}{\lambda} \right) : \,c\in\mathbb{R}\setminus \{0\},\,\lambda > 0,\, x_0 \in \mathbb{R}^N\right\},\tag{22}\] and \[\hat{u}(x) := (1 + |x|^2)^{-\frac{N-2}{2}}.\] Further, for \(s \in (0,1)\) we observe that the seminorm \([\hat{u}]_{s}\) is finite for \(N \ge 4\) and for \(N = 3\) with the restriction that \(s> \frac{1}{2}\).

Proposition 12 (Palais-Smale decomposition). Let \(N\geq 3\) and \(s\in(0,1)\). For \(N=3\) we assume that \(s>\frac{1}{2}\). Let \(\lambda>0\) and \(\{U_n\}\subset \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) be a (PS)-sequence of \(\tilde{I}_\lambda\), i.e. \(\tilde{I}_\lambda(U_n) \rightarrow\eta\) in \(\mathbb{R}\) and \(\nabla\tilde{I}_\lambda(U_n)\to0\) in \((\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}))^*\). Then there exist \(k\in\mathbb{N}\) and sequences \(\{\sigma_n^i\}_n\subset\mathbb{R}_+\) and \(\{x_n^i\}_n\subset\Omega\) for \(1\leq i\leq k\), a solution \(U_\infty\in \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) of 20 , and nontrivial solutions \(\Psi^i\in \mathcal{D}^{1,2}(\mathbb{R}^N)\), \(1\leq i\leq k\) to the limiting problem associated with 20 , namely \[-\Delta\Psi^i=|\Psi^i|^{2^*-2}\Psi^i\text{ in }\mathbb{R}^N,\] such that, up to a subsequence, \[\begin{align} &U_n=U_{\infty}+\sum_{i=1}^kE_s(\Psi_n^i)+ o_n(1) \, \text{ in }\, \mathcal{X}^s(\mathbb{R}_+^{N+1}),\\ & \text{Tr}(U_n)=\text{Tr}(U_{\infty})+\sum_{i=1}^k\Psi_n^i+ o_n(1) \, \text{ in } \, \mathcal{D}^{1,2}(\mathbb{R}^N). \end{align}\] Here \(\Psi_n^i\) denotes rescaled function \[\Psi_n^i:={(\sigma_n^i)}^{\frac{N}{2^*}}\Psi^i(\sigma_n^i(x-x_n^i)), \quad 1\leq i\leq k, \, n\in\mathbb{N}.\] Moreover, it holds \[\begin{align} &\eta = \tilde{I}_\lambda(U_\infty)+\sum_{i=1}^k \tilde{I}(\Psi^i) + o_n(1),\\ &\sigma_n^i \rightarrow\infty, \text{ and } \left|\log\left(\frac{\sigma_n^i}{\sigma_n^j}\right)\right|+\sigma_n^i|x_n^i-x_n^j|\to\infty, \text{ for } 1\leq i\neq j\leq k. \end{align}\] Furthermore, in the case \(k=0\), the above expression holds without \(\Psi_n^i\).

Proof. We divide our proof into a few steps.
Step-1: We first show that the sequence \(\{U_n\}\) is bounded. Observe that by the trace inequality and the Hölder’s inequality, when \(p>2\), \[\begin{align} \eta+o_n(1)\tilde{\rho}(U_n)\geq \tilde{I}_\lambda(U_n)-\frac{1}{p}\langle \tilde{I}_\lambda'(U_n),U_n\rangle &{\geq}\left(\frac{1}{2}-\frac{1}{p}\right)\tilde{\rho}(U_n)^2. \end{align}\] When \(p=2\), \[\begin{align} C+o_n(1)\tilde{\rho}(U_n)\geq \left| 2\tilde{I}_\lambda(U_n)-\langle \tilde{I}_\lambda'(U_n),U_n\rangle\right| &=\left(1-\frac{2}{2^*}\right)\int_{\Omega}|U_n(x,0)|^{2^*}\,{\rm d}x\\ &\geq C\left(\int_{\Omega}|U_n(x,0)|^2\right)^{\frac{2^*}{2}}. \end{align}\] Again using the trace inequality and the Hölder’s inequality, \[\begin{align} \tilde{\rho}(U_n)^2&=2\tilde{I}_\lambda(U_n)+\lambda\int_{\Omega}|U_n(x,0)|^2\,{\rm d}x+\frac{2}{2^*}\int_{\Omega}|U_n(x,0)|^{2^*}\,{\rm d}x\\ &\leq C+(C+o_n(1)\tilde{\rho}(U_n))^{\frac{2}{2^*}}+(C+o_n(1)\tilde{\rho}(U_n)). \end{align}\] Hence \(\{U_n\}\) is bounded in \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\). By the reflexivity of \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\), \(U_n\rightharpoonup U_{\infty}\) in \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) and \(U_n\to U_{\infty}\) a.e. in \(\mathbb{R}_+^{N+1}\). By the definition of the norm \(\tilde{\rho}\), \(\{\text{Tr}(U_n)\}\) is bounded in \(X_0(\Omega)\). By the reflexivity of \(X_0(\Omega)\), \(\text{Tr}(U_n) \rightharpoonup v\) in \(X_0(\Omega)\). By the compact embedding \(X_0(\Omega) \hookrightarrow \dot{H}^s(\mathbb{R}^N)\) (see [17]), \(\{\text{Tr}(U_n)\}\) has a subsequence (still denoted by \(\{\text{Tr}(U_n)\}\)) converging to some \(v\in X_0(\Omega)\) w.r.t. the norm of \(\dot{H}^s(\mathbb{R}^N)\). Now, using the norm equivalence 15 , \[\int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla (U_n-E_s(v))|^2\,{\rm d}x\,{\rm d}y=[\text{Tr}(U_n)-v]_s^2\to0.\] Thus \(U_{\infty}=E_s(v)\) a.e. in \(\mathbb{R}_+^{N+1}\) and \[\int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla (U_n-U_\infty)|^2\,{\rm d}x\,{\rm d}y\to0\text{ as }n\to\infty.\] Note that, though \(U_n\to U_\infty\) in \(\mathcal{D}^{1,2}(\mathbb{R}^{N+1}_+, y^{1-2s})\), \(\text{Tr}(U_n)\) may not converge to \(v\) in \(H_0^1(\Omega)\). Hence, \(U_n\) need not converge to \(U_\infty\) in \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\).

Step-2: Let \(V_n:=U_n-U_{\infty}\). Then \(V_n\rightharpoonup0\) in \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) and \[\int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla V_n|^2\,{\rm d}x\,{\rm d}y=o_n(1).\] For \(p<2^*\), using \(\text{Tr}(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1}))\underset{\text{continuous}}{\hookrightarrow} H_0^1(\Omega)\underset{\text{sec:compact}}{\hookrightarrow} L^p(\Omega)\), we have \(\text{Tr}(V_n)\rightharpoonup0\) in \(H_0^1(\Omega)\) and \(\text{Tr}(V_n)\to 0\) in \(L^p(\Omega)\). Applying Brezis-Lieb lemma, observe that \[\begin{align} \tilde{I}(\text{Tr}(V_n))&=\frac{1}{2}\int_{\Omega}|\nabla V_n(x,0)|^2\,{\rm d}x-\frac{1}{2^*}\int_{\Omega}|V_n(x,0)|^{2^*}\,{\rm d}x\\ &=\frac{1}{2}\tilde{\rho}(V_n)^2-\frac{\lambda}{p}\int_{\Omega}|V_n(x,0)|^p\,{\rm d}x-\frac{1}{2^*}\int_{\Omega}|V_n(x,0)|^{2^*}\,{\rm d}x+o_n(1)\\ & =\tilde{I}_\lambda(V_n)+o_n(1)=\tilde{I}_\lambda(U_n)-\tilde{I}_\lambda(U_\infty)+o_n(1). \end{align}\] Furthermore, using \(\text{Tr}(V_n)\rightharpoonup0\) in \(H_0^1(\Omega)\), \[\begin{align} \langle \tilde{I}'(\text{Tr}(V_n)),\varphi \rangle&=\int_{\Omega}\nabla V_n(x,0)\cdot\nabla\varphi (x)\,{\rm d}x-\int_{\Omega}|V_n(x,0)|^{2^*-2}V_n(x,0)\varphi (x)\,{\rm d}x=o_n(1), \end{align}\] for any \(\varphi \in H^1_0(\Omega)\).

Thus, \(\{\text{Tr}(V_n)\}\) is a (PS) sequence of \(\tilde{I}\) at the level \(\eta-\tilde{I}_\lambda(U_\infty)\).
Step-3: If \(\text{Tr}(V_n)\to0\) in \(X_0(\Omega)\), then the conclusion holds for \(k=0\). Now suppose \(\text{Tr}(V_n)\not\to0\) in \(X_0(\Omega)\). Applying [25], we obtain sequences \(\{x_n^1\}\subset\Omega\), \(\{\sigma_n^1\} \subset (0, \infty)\) with \(\sigma_n^1\to\infty\), a nontrivial solution \(\Psi^1\) of \[-\Delta U=|U|^{2^*-2}U\text{ in }\mathbb{R}^N,\] and a (PS) sequence \(\{w_n\}\) for \(\tilde{I}\) in \(H_0^1(\Omega)\) such that \[w_n=\text{Tr}(V_n)-\Psi_n^1+o_n(1)\text{ in }\mathcal{D}^{1,2}(\mathbb{R}^N),\] where \(\Psi_n^1=(\sigma_n^1)^{\frac{N-2}{2}} \Psi^1(\sigma_n^1(\cdot-x_n^1))\). Moreover, \[\begin{align} \tilde{I}(w_n)&=\tilde{I}(\text{Tr}(V_n))-\tilde{I}(\Psi^1)+o_n(1)=\tilde{I}_\lambda(U_n)-\tilde{I}_\lambda(U_\infty)-\tilde{I}(\Psi^1)+o_n(1). \end{align}\] Following the proof of [25] and iterating the above process, we get the decomposition for \(\text{Tr}(U_n)\): \[\begin{align} &\text{Tr}(U_n)=\text{Tr}(U_{\infty})+\sum_{i=1}^k\Psi_n^i + o_n(1) \text{ in } \mathcal{D}^{1,2}(\mathbb{R}^N), \\ & \tilde{I}_\lambda(U_n) = \tilde{I}_\lambda(U_\infty)+\sum_{i=1}^k \tilde{I}(\Psi^i) + o_n(1),\\ &\sigma_n^i \rightarrow\infty, \text{ and } \left|\log\left(\frac{\sigma_n^i}{\sigma_n^j}\right)\right|+\sigma_n^i|x_n^i-x_n^j|\to\infty, \text{ for } 1\leq i\neq j\leq k. \end{align}\]

Step-4: From Step-3 we have \[\text{Tr}(U_n)=\text{Tr}(U_{\infty})+\sum_{i=1}^k\Psi_n^i + o_n(1) \text{ in } \mathcal{D}^{1,2}(\mathbb{R}^N),\] and from Step-1, we have \(U_n=U_\infty+o_n(1) \, in \, \mathcal{D}^{1,2}(\mathbb{R}^{N+1}_+, y^{1-2s})\). From Remark 11 and the hypothesis on \(N,s\), we see that \([\Psi^i]_s < \infty\), and further using the isometry we get \[\begin{align} &\sum_{i=1}^k\int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla E_s(\Psi_n^i)|^2\,{\rm d}x\,{\rm d}y =\sum_{i=1}^k[\Psi_n^i]_s^2\\ &=\sum_{i=1}^k\iint_{\mathbb{R}^{2N}}\frac{|\Psi_n^i(x)-\Psi_n^i(y)|^2}{|x-y|^{N+2s}}\,{\rm d}x\,{\rm d}y\\ &=\sum_{i=1}^k\iint_{\mathbb{R}^{2N}}(\sigma_n^i)^{\frac{2N}{2^*}+(N+2s)}\frac{|\Psi^i(\sigma_n^i(x-x_n^i))-\Psi^i(\sigma_n^i(y-x_n^i))|^2}{|\sigma_n^i(x-x_n^i)-\sigma_n^i(y-x_n^i)|^{N+2s}}\,{\rm d}x\,{\rm d}y\\ &=\sum_{i=1}^k(\sigma_n^i)^{2s-2}\iint_{\mathbb{R}^{2N}}\frac{|\Psi^i(x)-\Psi^i(y)|^2}{|x-y|^{N+2s}}\,{\rm d}x\,{\rm d}y=O\left(\sum_{i=1}^k (\sigma_n^i)^{2s-2}\right)=o_n(1). \end{align}\] Hence, \[U_n=U_{\infty}+\sum_{i=1}^kE_s(\Psi_n^i) + o_n(1) \text{ in } \mathcal{X}^s(\mathbb{R}_+^{N+1}).\] This completes the proof. ◻

Remark 13. Using 12 , we observe that for any \(1\leq i\leq k\), \(n\in \mathbb{N}\), \(x\in\mathbb{R}^N,y>0\), \[E_s(\Psi_n^i)(x,y)=(\sigma_{n}^i)^{\frac{N-2}{2}}E_s(\Psi^i)(\sigma_n^i((x,y)-(x_n^i,0))).\]

Remark 14. From Step-4 in the proof of the Proposition 12, we observe that \[\begin{align} \int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla (U_n-U_{\infty})|^2\,{\rm d}x\,{\rm d}y=O\left(\sum_{i=1}^k(\sigma_{n}^i)^{2s-2}\right)+o_n(1)=O\left(\sum_{i=1}^k(\sigma_{n}^i)^{2s-2}\right). \end{align}\]

2.2 Safe regions↩︎

For every \(n\), we denote \(\sigma_n\) to be the minimum of \(\sigma_n^i\) i.e. \[\sigma_n:=\min_{1\leq i\leq k}\sigma_n^i\] and \((x_n,0)\) be the corresponding concentration point. For each \(1\leq i\leq k\), choose \(c_i\geq1\) with \(c_{i+1} = c_{i} +6\). Then for each \(n\), consider the half-annuli of the form \[\mathcal{sec:A}_i:=B_{(c_i+5)\sigma_n^{-\frac{1}{2}}}^+(x_n,0)\setminus \overline{B^+}_{c_i\sigma_n^{-\frac{1}{2}}}(x_n,0).\] Since excluding \((x_n,0)\), there are \(k-1\) concentration points and \(\overline{\mathcal{sec:A}_i} \cap \overline{\mathcal{sec:A}_j} = \{ \cdot \}\) for \(1\le i \neq j \le k\), for each \(n\) we can find an annulus whose flat boundary \(\partial\mathcal{A}_i\cap\{y=0\}\) does not contain any concentration points. Since there are only \(k\) many \(c_i\)’s, one \(c_i\) will be chosen infinitely many times. Further, using Proposition 12, \(\tilde{I}(\Psi^i) \ge \frac{1}{N}S^{\frac{N}{2}}\) and \(\tilde{I}_{\lambda}(U_n) \le C\) for some \(C>0\), we get for large \(n\), \[\begin{align} C + |\tilde{I}_{\lambda}(U_{\infty})| \ge \frac{k}{N}S^{\frac{N}{2}}, \end{align}\] which infers that \(k\) is bounded by a fixed constant. Hence passing through a subsequence, we find \(\overline{C}\geq1\), independent of \(n\), such that for any \(n\), the flat boundary of the annulus \[\mathcal{A}_n^1:=\left(B^+_{(\overline{C}+5)\sigma_n^{-\frac{1}{2}}}(x_n,0)\setminus \overline{B^+}_{\overline{C}\sigma_n^{-\frac{1}{2}}}(x_n,0)\right)\cap(\Omega\times(0,\infty)),\] does not contain any concentration points \((x_n^i,0)\). We further define the following thinner subsets of \(\mathcal{A}_n^1\): \[\begin{align} \mathcal{A}_n^2:=\left(B^+_{(\overline{C}+4)\sigma_n^{-\frac{1}{2}}}(x_n,0)\setminus \overline{B^+}_{(\overline{C}+1)\sigma_n^{-\frac{1}{2}}}(x_n,0)\right)\cap(\Omega\times(0,\infty)),\\ \mathcal{A}_n^3:=\left(B^+_{(\overline{C}+3)\sigma_n^{-\frac{1}{2}}}(x_n,0)\setminus \overline{B^+}_{(\overline{C}+2)\sigma_n^{-\frac{1}{2}}}(x_n,0)\right)\cap(\Omega\times(0,\infty)). \end{align}\]

2.3 Estimates under auxiliary norm↩︎

We recall an elementary inequality: Let \(q \in [2,2^*]\). Then there exists \(A(\lambda)>1\) independent of \(q\) such that \[\begin{align} \label{ineq-1} \left| |t|^{q-2}t+\lambda|t|^{p-2}t \right| \leq A|t|^{2^*-1}+A, \text{ for all } t\in\mathbb{R}. \end{align}\tag{23}\] We consider the following superset of \(\Omega\):

  1. Let \(\tilde{\Omega} \supsetneq \Omega\) be such that \(\text{dist}(\Omega,\partial\tilde{\Omega})>0\).

Let \(u_n\) be solutions of 4 uniformly bounded in \(X_0(\Omega)\). For each \(n \in \mathbb{N}\), let \(v_n\in X_0(\tilde{\Omega})\) weakly solve the following problem (whose existence and uniqueness are guaranteed by the Riesz representation theorem): \[\label{PDE1} -\Delta u+(-\Delta)^su=A|u_n|^{2^*-1}+A \text{ in } \tilde{\Omega}, \; u=0\text{ in } \mathbb{R}^N\setminus \tilde{\Omega}.\tag{24}\] Taking \(v_n^-\in X_0(\tilde{\Omega})\) as a test function in the weak formulation, \[-\rho(v_n^-)^2-\iint_{\mathbb{R}^{2N}}[v_n^+(x)v_n^-(y)+v_n^+(y)v_n^-(x)]\,{\rm d}\mu=\int_{\Omega}(A|u_n|^{2^*-1}+A)v_n^-\,{\rm d}x.\] Hence, \(v_n^-\equiv0\) and \(v_n\) is a non-negative solution. Applying the strong maximum principle [26], \(v_n\) is a positive solution. Now, for any \(0\leq \varphi \in \mathcal{C}_c^{\infty}(\Omega)\), \[\begin{align} \int_{\Omega}\nabla v_n\cdot\nabla\varphi \,{\rm d}x+\mathbb{A}(v_n,\varphi )&=\int_{\tilde{\Omega}}\nabla v_n\cdot\nabla\varphi \,{\rm d}x+\mathbb{A}(v_n,\varphi )=\int_{\Omega}(A|u_n|^{2^*-1}+A)\varphi \,{\rm d}x\\& \geq \int_{\Omega}(|u_n|^{p_n-2}u_n+\lambda|u_n|^{p-2}u_n)\varphi \,{\rm d}x=\int_{\Omega}\nabla u_n\cdot\nabla\varphi \,{\rm d}x+\mathbb{A}(u_n,\varphi ). \end{align}\] Similarly, we see that \[\int_{\Omega}\nabla v_n\cdot\nabla\varphi \,{\rm d}x+\mathbb{A}(v_n,\varphi )\geq \int_{\Omega}\nabla (-u_n)\cdot\nabla\varphi \,{\rm d}x+\mathbb{A}(-u_n,\varphi ).\] Since \(|u_n|\leq v_n\) a.e. in \(\mathbb{R}^N\setminus\Omega\), using the weak comparison principle [27], \[\begin{align} \label{est-1} |u_n|\leq v_n \; \text{ a.e. in }\Omega. \end{align}\tag{25}\] In view of 25 , it is sufficient to estimate \(v_n\).

Remark 15. Since \(\{u_n\}\) is uniformly bounded in \(X_0(\Omega)\), it is is also uniformly bounded in \(L^{2^*}(\Omega)\) and therefore \[\begin{align} \rho(v_n)^2=A\int_{\tilde{\Omega}}|u_n|^{2^*-1}v_n+Av_n\,{\rm d}x\leq (A\|u_n\|_{2^*}^{2^*-1}+A|\tilde{\Omega}|^{2^*-1})\|v_n\|_{2^*, \tilde{\Omega}}\leq C\rho(v_n). \end{align}\] Hence \(\{v_n\}\) is also uniformly bounded in \(X_0(\tilde{\Omega})\).

Definition 2. Let \(p_1,p_2\in[1,\infty)\) be such that \(p_2<2^*<p_1\), \(\alpha>0\) and \(\sigma>0\). We consider a system of inequalities \[\label{ineq95sys} \begin{cases} \|u_1\|_{p_1}\leq\alpha,\\ \|u_2\|_{p_2}\leq\alpha\sigma^{\frac{N}{2^*}-\frac{N}{p_2}}. \end{cases}\tag{26}\] We define the following norm on \(X_0\): \[\|u\|_{p_1,p_2,\sigma}=\inf\left\{\alpha>0:\exists \, u_1,u_2 \text{ satisfying }\eqref{ineq95sys} \text{ and }|u|\leq u_1+u_2 \right\}.\]

Notice that \[\begin{align} \label{ineq-2} \|u\|_{p_1,p_2,\sigma}\leq \min\left\{\|u\|_{p_1},\|u\|_{p_2}\sigma^{\frac{N}{p_2}-\frac{N}{2^*}}\right\}. \end{align}\tag{27}\]

Lemma 1. Let \(\tilde{\Omega}\) be as given in [O951], \(u,v\in X_0(\tilde{\Omega})\), and \(a\in L^{\frac{N}{2}}(\tilde{\Omega})\) be three positive functions such that the following holds weakly: \[-\Delta u+(-\Delta)^su\leq av \text{ in } \tilde{\Omega}, \; u= 0 \text{ in } \mathbb{R}^N\setminus \tilde{\Omega}.\] Then for each \(p_1,p_2\in(\frac{N}{N-2},\infty)\) there exist \(C(N,p_1,p_2)\) such that for any \(\sigma>0\), \[\|u\|_{p_1,p_2,\sigma}\leq C(N,p_1,p_2)\|a\|_{\frac{N}{2}}\|v\|_{p_1,p_2,\sigma}.\]

Proof. For \(\sigma,\varepsilon>0\) and \(\alpha=\|v\|_{p_1,p_2,\sigma}+\varepsilon\), there exist \(v_1,v_2\in X_0(\tilde{\Omega})\) such that \(v\leq v_1+v_2\), where \(v_1,v_2\) satisfy 26 . For \(i=1,2\), let \(u_i\) weakly solve the problem \[-\Delta u_i+(-\Delta)^su_i=av_i \text{ in } \tilde{\Omega}, \; u_i= 0 \text{ in } \mathbb{R}^N\setminus \tilde{\Omega}.\] By Lemma 8-(ii), \[\begin{align} \|u_1\|_{p_1}&\leq C(N,p_1)\|a\|_{\frac{N}{2}}\|v_1\|_{p_1}\leq C(N,p_1,p_2)\|a\|_{\frac{N}{2}}(\|v\|_{p_1,p_2,\sigma}+\varepsilon),\\ \|u_2\|_{p_2}&\leq C(N,p_2)\|a\|_{\frac{N}{2}}\|v_2\|_{p_2}\leq C(N,p_1,p_2)\|a\|_{\frac{N}{2}}(\|v\|_{p_1,p_2,\sigma}+\varepsilon)\sigma^{\frac{N}{2^*}-\frac{N}{p_2}}. \end{align}\] Further, since \[\begin{align} \left(-\Delta u_1 +(-\Delta)^su_1\right) + \left(-\Delta u_2 + (-\Delta)^su_2\right) =av_1+av_2\geq av\geq-\Delta u + (-\Delta)^su \text{ in } \tilde{\Omega}, \end{align}\] using the weak comparison principle [27], \(u\leq u_1+u_2\). By the definition of \(\|\cdot\|_{p_1,p_2,\sigma}\) with \(\alpha=C(N,p_1,p_2)\|a\|_{\frac{N}{2}}(\|v\|_{p_1,p_2,\sigma}+\varepsilon)\) and the above argument, for every \(\varepsilon>0\), \[\|u\|_{p_1,p_2,\sigma}\leq C(N,p_1,p_2)\|a\|_{\frac{N}{2}}(\|v\|_{p_1,p_2,\sigma}+\varepsilon).\] Taking \(\varepsilon\rightarrow 0\), concludes the lemma. ◻

Lemma 2. Let \(p_1,p_2\in\left(\frac{N+2}{N-2},\frac{N}{2}\frac{N+2}{N-2}\right)\) with \(p_2<2^*<p_1\). Let, \(q_i\) be defined as \[\frac{1}{q_i}=\frac{N+2}{N-2}\frac{1}{p_i}-\frac{2}{N}, \quad i=1,2.\] Let \(\tilde{\Omega}\) be as given in [O951]. Suppose \(u\) and \(v\) are two positive functions whose support is contained in \(\tilde{\Omega}\) and the following holds weakly: \[-\Delta u+(-\Delta)^su\leq Av^{2^*-1}+A \text{ in } \tilde{\Omega}, \; u=0\text{ in } \mathbb{R}^N\setminus \tilde{\Omega}.\] Then there exists \(C(N,p_1,p_2,\tilde{\Omega})\) such that for every \(\sigma>0\), \[\|u\|_{q_1,q_2,\sigma}\leq C(N,p_1,p_2,\tilde{\Omega}) \left((\|v\|_{p_1,p_2,\sigma})^{\frac{N+2}{N-2}}+1\right).\]

Proof. For \(\sigma,\varepsilon>0\) and \(\alpha=\|v\|_{p_1,p_2,\sigma}+\varepsilon\), there exist \(v_1,v_2\in X_0(\tilde{\Omega})\) such that \(v\leq v_1+v_2\), where \(v_1,v_2\) satisfy 26 . For \(i=1,2\), let \(u_1,u_2\) weakly solve \[\begin{align} -\Delta u_1+(-\Delta)^su_1&=2^{\frac{4}{N-2}}Av_1^{\frac{N+2}{N-2}}+A \text{ in } \tilde{\Omega}, \; u_1=0\text{ in } \mathbb{R}^N\setminus \tilde{\Omega},\\ -\Delta u_2+(-\Delta)^su_2&= 2^{\frac{4}{N-2}}Av_2^{\frac{N+2}{N-2}} \text{ in } \tilde{\Omega}, \; u_2=0\text{ in } \mathbb{R}^N\setminus \tilde{\Omega}. \end{align}\] Since \[-\Delta u+(-\Delta)^su\leq Av^{\frac{N+2}{N-2}}+A\leq 2^{\frac{4}{N-2}}Av_1^{\frac{N+2}{N-2}}+A+2^{\frac{4}{N-2}}Av_2^{\frac{N+2}{N-2}}=-\Delta u_1+(-\Delta)^su_1-\Delta u_2+(-\Delta)^su_2,\] using the weak comparison principle \(u\leq u_1+u_2\). Further, notice that \[\begin{align} 1<p_1\frac{N-2}{N+2}<\frac{N}{2}, \text{ and } \frac{Np_1\frac{N-2}{N+2}}{N-2p_1\frac{N-2}{N+2}}=q_1. \end{align}\] Hence using Lemma 8-(i), \[\begin{align} \|u_1\|_{q_1}&\leq C(N,p_1)\|2^{\frac{4}{N-2}}Av_1^{\frac{N+2}{N-2}}+A\|_{p_1\frac{N-2}{N+2}}\leq C(N,p_1)\left(\|v_1\|_{p_1}^{\frac{N+2}{N-2}}+|\Omega|^{\frac{1}{p_1}\frac{N+2}{N-2}}\right)\\ &\leq C(N,p_1,\tilde{\Omega})\left((\|v\|_{p_1,p_2,\sigma}+\varepsilon)^{\frac{N+2}{N-2}}+1\right). \end{align}\] Similarly, we have \[\begin{align} \|u_2\|_{q_2}\leq C(N,p_2)\|v_2\|_{p_2}^{\frac{N+2}{N-2}}&\leq C(N,p_2)(\|v\|_{p_1,p_2,\sigma}+\varepsilon)^{\frac{N+2}{N-2}}\sigma^{\left(\frac{N}{2^*}-\frac{N}{p_2}\right)\frac{N+2}{N-2}}\\ &=C(N,p_2)(\|v\|_{p_1,p_2,\sigma}+\varepsilon)^{\frac{N+2}{N-2}}\sigma^{\left(\frac{N}{2^*}-\frac{N}{q_2}\right)}, \end{align}\] where in the last equality, we use the fact that \[\left(\frac{N}{2^*}-\frac{N}{p_2}\right)\frac{N+2}{N-2}=\frac{N}{2^*}-\frac{N}{q_2}.\] Hence, in view of the definition of \(\|\cdot\|_{p_1,p_2,\sigma}\), with \(\alpha= C(N,p_1,p_2,\tilde{\Omega})((\|v\|_{p_1,p_2,\sigma}+\varepsilon)^{\frac{N+2}{N-2}}+1)\), we get \[\|u\|_{q_1,q_2,\sigma}\leq C(N,p_1,p_2,\tilde{\Omega})\left((\|v\|_{p_1,p_2,\sigma}+\varepsilon)^{\frac{N+2}{N-2}}+1\right).\] Taking \(\varepsilon\to0\), we conclude the proof. ◻

Lemma 3. Let \(\{u_n\}\) be a sequence of weak solutions to 4 and uniformly bounded in \(X_0(\Omega)\). Assume, \(\{v_n\}\) is a sequence of weak solutions to 24 . Then there exist \(C>0\), and \(p_1,\, p_2\in (\frac{N+2}{N-2}, \frac{N}{2}\frac{N+2}{N-2})\) with \(p_2<2^*<p_1\) such that \(\|v_n\|_{p_1,p_2,\sigma_n}\leq C.\)

Proof. From the Palais-Smale decomposition (Proposition 12), we write \(u_n=u_\infty+u_n^1+u_n^2\), where \(u_\infty\) weakly solves 1 , \[u_{n}^1=\sum_{i=1}^k \Psi_n^i,\] and \(u_{n}^2=u_n-u_\infty-u_n^1\) and \(u_n^2\to 0\) in \(L^{2^*}(\tilde{\Omega})\). Let \[a_0=A\max(1,3^{\frac{6-N}{N-2}})|u_{\infty}|^{2^*-2},\,a_1=A\max(1,3^{\frac{6-N}{N-2}})|u_n^1|^{2^*-2},\, a_2=A\max(1,3^{\frac{6-N}{N-2}})|u_n^2|^{2^*-2}.\] With the above notations, we have \[-\Delta v_n+(-\Delta)^sv_n =A|u_n|^{2^*-1}+A\leq (a_0+a_1+a_2)|u_n|+A.\] Let \(\mathcal{G}:X_0(\tilde{\Omega})^*\to X_0(\tilde{\Omega})\) be the inverse of \(-\Delta+(-\Delta)^s\) i.e. \(v=\mathcal{G}(u)\) implies \[-\Delta v+(-\Delta)^sv=u\text{ in }\tilde{\Omega},\, v=0\text{ in }\mathbb{R}^N\setminus\tilde{\Omega}.\] Observe that \(\mathcal{G}\) is well defined by the Riesz representation theorem. Further, using the weak comparison principle, \(u_1\leq u_2\) implies \(\mathcal{G}(u_1)\leq \mathcal{G}(u_2)\), i.e., \(\mathcal{G}\) is monotone. Hence \[v_n\leq \mathcal{G}(a_0|u_n|+A)+\mathcal{G}(a_1|u_n|)+\mathcal{G}(a_2|u_n|).\] Since \(u_\infty\in L^{\infty}(\Omega)\), \(a_0\in L^{\infty}(\Omega)\), choosing \(p\in (\frac{2N}{N+2},\min\{\frac{2N}{N-2},\frac{N+2}{4}\})\subset (1,\frac{N}{2})\), we get by Lemma 8-(i), \[\|\mathcal{G}(a_0|u_n|+A)\|_{p_1}\leq \|a_0|u_n|+A\|_p\leq C,\] where \(p_1=\frac{Np}{N-2p}\in(2^*,\frac{N}{2}\frac{N+2}{N-2})\) and \(C>0\) is independent of \(n\). Thus using 27 , \[\|\mathcal{G}(a_0|u_n|+A)\|_{p_1,p_2,\sigma_n}\leq \|\mathcal{G}(a_0|u_n|+A)\|_{p_1}\leq C.\] Choose \(r\in(\max\{\frac{N}{4},\frac{2N(N+2)}{N^2+12}\},\frac{N}{2})\) and \(p_2\) such that \(\frac{1}{p_2}=\frac{1}{r}+\frac{1}{2^*}-\frac{2}{N}\). Then we have \(p_2\in(\frac{N+2}{N-2},2^*)\). By Lemma 8-(iii), \[\begin{align} \|\mathcal{G}(a_1|u_n|)\|_{p_2}&\leq C\|a_1\|_r\|u_n\|_{2^*}\leq C\|a_1\|_r\\ &\leq C\sum_{i=1}^k(\sigma_n^i)^{\frac{2r-N}{r}}\left(\int_{\mathbb{R}^N}\Psi^i(x)^{(2^*-2)r}\,{\rm d}x\right)^{\frac{1}{r}}\\ &\leq Ck\sigma_n^{\frac{2r-N}{r}}\left(\int_{\mathbb{R}^N}\frac{1}{(1+|x|^2)^{2r}}\,{\rm d}x\right)^{\frac{1}{r}}\leq C\sigma_n^{\frac{N}{2^*}-\frac{N}{p_2}}, \end{align}\] where we use \(r>\frac{N}{4}\) in the last integral and \(\frac{2r-N}{r}=\frac{N}{2^*}-\frac{N}{p_2}\) in the exponent of \(\sigma_n\). Hence again using 27 , \[\|\mathcal{G}(a_1|u_n|)\|_{p_1,p_2,\sigma_n}\leq \sigma_n^{\frac{N}{p_2}-\frac{N}{2^*}}\|\mathcal{G}(a_1|u_n|)\|_{p_2}\leq C.\] Next, for \(a_2\in L^{\frac{N}{2}}(\tilde{\Omega})\), applying Lemma 1, \[\|\mathcal{G}(a_2|u_n|)\|_{p_1,p_2,\sigma_n}\leq C\|a_2\|_{\frac{N}{2}}\|u_n\|_{p_1,p_2,\sigma_n}\leq C\|u_n^2\|_{2^*}\|v_n\|_{p_1,p_2,\sigma_n}\leq \frac{1}{2}\|v_n\|_{p_1,p_2,\sigma_n},\] where in the last inequality we used \(u_n^2\to0\) in \(L^{2^*}(\tilde{\Omega})\). Hence, the triangle inequality gives \[\|v_n\|_{p_1,p_2,\sigma_n}\leq 2\|\mathcal{G}(a_0|u_n|+A)\|_{p_1,p_2,\sigma_n}+2\|\mathcal{G}(a_1|u_n|)\|_{p_1,p_2,\sigma_n} \leq C,\] which is required. ◻

Remark 16. Let \(\{u_n\}\) and \(\{v_n\}\) be as in Lemma 3. We claim that if \(\|v_n\|_{p_1,p_2,\sigma_n}\leq C_1\) for some \(p_2<2^*<p_1\) and \(C_1>0\) independent of \(n\), then for any \(p_2<r_2<2^*<r_1<p_1\), \(\|v_n\|_{r_1,r_2,\sigma_n}\leq C_2\) for some \(C_2>0\) independent of \(n\). Indeed, by the definition of the norm \(\|\cdot\|_{p_1,p_2,\sigma_n}\), there exists \(v_{n,i}\) with \(|v_n|\leq v_{n,1}+v_{n,2}\) such that \[\|v_{n,1}\|_{p_1}\leq C_1,\quad\|v_{n,2}\|_{p_2}\leq C_1\sigma_n^{\frac{N}{2^*}-\frac{N}{p_2}}.\] Set \(w_{n,1}=v_{n,1}\) and \(w_{n,2}=\min\{v_{n,2},|v_n|\}\). Then \(|v_n|\leq w_{n,1}+w_{n,2}\) and \[\|w_{n,1}\|_{r_1}=\|v_{n,1}\|_{r_1}\leq C\|v_{n,1}\|_{p_1}\leq CC_1.\] Let \(\frac{1}{r_2}=\frac{\theta}{p_2}+\frac{1-\theta}{2^*}\). Observe that \[\begin{align} \|w_{n,2}\|_{r_2}\leq \|w_{n,2}\|_{p_2}^\theta\|w_{n,2}\|_{2^*}^{1-\theta}\leq \|v_{n,2}\|_{p_2}^\theta\|v_n\|_{2^*}^{1-\theta}\leq CC_1\sigma_n^{(\frac{N}{2^*}-\frac{N}{p_2})\theta}=CC_1\sigma_n^{\frac{N}{2^*}-\frac{N}{r_2}}, \end{align}\] where in the last inequality, we use the fact that \(\{v_n\}\) is uniformly bounded in \(L^{2^*}(\tilde{\Omega})\) (see Remark 15).

Proposition 17. Let \(\{u_n\}\) be a sequence of weak solutions to 4 and uniformly bounded in \(X_0(\Omega)\). Then for every \(p_1,p_2\) satisfying \(\frac{N}{N-2}<p_2<2^*<p_1\), there exists \(C>0\) such that \(\|u_n\|_{p_1,p_2,\sigma_n}\leq C.\)

Proof. Recall that \(|u_n|\leq v_n\). Thus, \(v_n\) satisfies \[-\Delta u+(-\Delta)^su\leq Av_n^{2^*-1}+A \text{ in } \tilde{\Omega}, \; u=0\text{ in } \mathbb{R}^N\setminus \tilde{\Omega}.\] Applying Lemma 3, we obtain \(p_1,p_2\in(\frac{N+2}{N-2},\frac{N}{2}\frac{N+2}{N-2})\) with \(p_2<2^*<p_1\) such that \(\|v_n\|_{p_1,p_2,\sigma_n}\leq C\). Now applying Lemma 2 and keeping Remark 16 in mind, we enlarge the interval \((p_2,p_1)\) to \((q_2,q_1)\), where \(q_1,q_2\) are defined in Lemma 2. We apply Lemma 2 repeatedly until we move to an interval larger than \((\frac{N+2}{N-2},\frac{N}{2}\frac{N+2}{N-2})\). Finally we notice that as \(p_1\to\frac{N}{2}\frac{N+2}{N-2}\), \(q_1\to\infty\) and as \(p_2\to\frac{N+2}{N-2}\), \(q_2\to\frac{2^*}{2}\). This concludes the proof. ◻

2.4 Integral estimates over the safe regions↩︎

In this subsection, we aim to derive several integral estimates of \(u_n\) and \(U_n\) over the safe regions \(\mathcal{A}_n^i\). We recall a few facts from [19]. Suppose \(u\) is a weak solution to \[-\Delta u+(-\Delta)^su=f \text{ in }\Omega,\, u=0\text{ in }\mathbb{R}^N\setminus \Omega,\] where \(f\in L^1(\Omega)\). Let \(B_{\tilde{r}}^N(x_0)\subset\Omega\). Then for any \(0<\rho<\tilde{r}\), using [19], one has \[\label{byso1} \int_\rho^{\tilde{r}} E(u;x_0,t)\frac{\,{\rm d}t}{t}\leq cE(u;x_0,\tilde{r})+c\int_{\rho}^{\tilde{r}}\left(\frac{1}{t^{N-1}}\int_{B_t^N}|f|\,{\rm d}x\right)\,{\rm d}t,\tag{28}\] where \(c=c(N,s,\text{diam}(\Omega))\). Now for any \(0<\tilde{\rho}\leq \frac{\rho}{2}<\frac{\tilde{r}}{8}\) and \(\theta\in(\frac{1}{4},\frac{1}{2}]\), by [19] and 28 , we get \[\begin{align} |(u)_{B_\rho^N(x_0)}-(u)_{B_{\tilde{\rho}}^N(x_0)}|&\leq \int_{\tilde{\rho}}^{\frac{\rho}{\theta}}E(u;x_0,t)\frac{\,{\rm d}t}{t}\leq \int_{\tilde{\rho}}^{\tilde{r}}E(u;x_0,t)\frac{\,{\rm d}t}{t}\nonumber\\ &\leq cE(u;x_0,\tilde{r})+c\int_{\tilde{\rho}}^{\tilde{r}}\left(\frac{1}{t^{N-1}}\int_{B_t^N}|f|\,{\rm d}x\right)\,{\rm d}t.\nonumber \end{align}\] Since, the above inequality is true for any \(\rho<\frac{\tilde{r}}{4}\), taking \(\rho\uparrow\frac{\tilde{r}}{4}\) we have \[\label{byso2} |(u)_{B_\frac{\tilde{r}}{4}^N(x_0)}-(u)_{B_{\tilde{\rho}}^N(x_0)}|\leq cE(u;x_0,\tilde{r})+c\int_{\tilde{\rho}}^{\tilde{r}}\left(\frac{1}{t^{N-1}}\int_{B_t^N}|f|\,{\rm d}x\right)\,{\rm d}t\tag{29}\]

We also observe that for any \(\hat{\rho}\in[\frac{\tilde{r}}{4},\tilde{r}]\), \[\begin{align} \label{byso3} |(u)_{B_{\hat{\rho}}^N(x_0)}-(u)_{B_{\tilde{r}}^N(x_0)}|&\leq\fint_{B_{\hat{\rho}}^N(x_0)}|u-(u)_{B_{\tilde{r}}^N(x_0)}|\,{\rm d}x\nonumber\\ &\leq 4^N\fint_{B_{\tilde{r}}^N(x_0)}|u-(u)_{B_{\tilde{r}}^N(x_0)}|\,{\rm d}x\leq 4^N E(u;x_0,\tilde{r}). \end{align}\tag{30}\] Recall that \(v_n\) weakly solves \[-\Delta u+(-\Delta)^su=A|u_n|^{2^*-1}+A\text{ in }\tilde{\Omega}, \; u=0\text{ in } \mathbb{R}^N\setminus \tilde{\Omega},\] where \(\tilde{\Omega}\) is given in [O951] and \(\{v_n\}\) is also uniformly bounded in \(X_0(\tilde{\Omega})\).

Proposition 18. For \(\gamma\in[1,\frac{N}{N-2})\), \(r\in [\overline{C}\sigma_n^{-\frac{1}{2}},\frac{\text{dist}(\Omega,\partial\tilde{\Omega})}{8}]\); where \(\tilde{\Omega}\) is given in [O951], and \(x_0\in\Omega\), the following holds \[\left(\frac{1}{r^N}\int_{B_r^N(x_0)\cap\Omega}|u_n|^\gamma\right)^{\frac{1}{\gamma}}\leq C(N,s,\Omega,\tilde{\Omega}).\]

Proof. Let \(x_0\in\Omega\), \(R:=\text{dist}(x_0,\partial\tilde{\Omega})\) and \(0<r\leq \frac{R}{8}\). As \(v_n\) is a nonnegative supersolution to the homogeneous problem \[-\Delta u+(-\Delta)^su=0\text{ in }\tilde{\Omega}, \; u=0\text{ in } \mathbb{R}^N\setminus \tilde{\Omega},\] using the weak Harnack inequality (see [18]) for any \(\gamma\in[1,\frac{N}{N-2})\), \[\label{ineq951461} \left(\fint_{B_r^N(x_0)}v_n^\gamma\right)^{\frac{1}{\gamma}}\leq c(N,s)\mathop{\mathrm{ess\,inf}}_{B_{2r}(x_0)} u.\tag{31}\] By the triangle inequality and using 30 (with \(\hat{\rho}\) and \(\tilde{r}\) replaced by \(\frac{R}{4}\) and \(R\)) and 29 (with \(\tilde{\rho},\, \tilde{r}\) replaced by \(r\) and \(R\) respectively) we see that \[\begin{align} &\left|(v_n)_{B_R^N(x_0)}-(v_n)_{B_{r}^N(x_0)}\right|\nonumber\\ &\leq \left|(v_n)_{B_R^N(x_0)}-(v_n)_{B_{\frac{R}{4}}^N(x_0)}\right|+\left|(v_n)_{B_{\frac{R}{4}}^N(x_0)}-(v_n)_{B_{r}^N(x_0)}\right|\nonumber\\ &\leq c E(v_n;x_0,R)+ c\int_r^ R\frac{1}{t^{N-1}}\left(\int_{B_t^N(x_0)}(A|u_n|^{2^*-1}+A)\,{\rm d}x\right)\,{\rm d}t,\label{ineq951462} \end{align}\tag{32}\] where \(c=c(N,s,\text{diam}(\tilde{\Omega}))\). From 32 , we get \[\begin{align} \mathop{\mathrm{ess\,inf}}_{B_{2r}^N(x_0)}v_n&\leq (v_n)_{B_{r}^N(x_0)}\leq |(v_n)_{B_R^N(x_0)}-(v_n)_{B_{r}^N(x_0)}|+(v_n)_{B_R^N(x_0)}\nonumber\\ &\leq (v_n)_{B_R^N(x_0)}+c E(v_n;x_0,R)+ c\int_r^R\frac{1}{\rho^{N-1}}\left(\int_{B_\rho^N(x_0)}(A|u_n|^{2^*-1}+A)\,{\rm d}x\right)\,{\rm d}\rho.\label{ineq951463} \end{align}\tag{33}\] Further, there exists \(c>0\) such that \[\begin{align} (v_n)_{B_R^N(x_0)}+cE(v_n;x_0,R)&\leq c (v_n)_{B_R^N(x_0)}+c\text{Tail}(v_n-(v_n)_{B_R^N(x_0)};x_0,R)\nonumber \\ &\leq c((v_n)_{B_R^N(x_0)}+\text{Tail}(v_n;x_0,R)), \end{align}\] where the last inequality holds using \(R<\text{diam}(\tilde{\Omega})\). From the uniform boundedness of \(\{v_n\}\) in \(L^{2^*}\) norm, we see that the average \[\begin{align} (v_n)_{B_R^N(x_0)}=\fint_{B_R^N(x_0)}|v_n|\,{\rm d}x\leq C(N) \|v_n\|_{2^*} R^{\frac{2-N}{2}}\leq C, \end{align}\] where \(C\) is independent of \(n\) and \(R\). For the Tail term we see \[\begin{align} \text{Tail}(v_n;x_0,R)&=R^2\int_{\mathbb{R}^N\setminus B_R^N(x_0)}\frac{|v_n(x)|}{|x-x_0|^{N+2s}}\,{\rm d}x\nonumber\\ &\leq R^2\left(1+\frac{1+|x_0|}{R}\right)^{N+2s}\int_{\mathbb{R}^N}\frac{|v_n(x)|}{(1+|x|)^{N+2s}}\,{\rm d}x\nonumber\\ &\leq C\int_{\tilde{\Omega}}\frac{|v_n(x)|}{(1+|x|)^{N+2s}}\,{\rm d}x\leq C\|v_n\|_{2^*}|\tilde{\Omega}|^{\frac{1}{(2^*)'}}\leq C,\label{ineq951464} \end{align}\tag{34}\] where in the third inequality we use the fact that \(\text{dist}(\Omega,\partial\tilde{\Omega})<R<\text{diam}(\tilde{\Omega})\). Hence combining 31 and 33 34 for \(0<r\leq\frac{\text{dist}(\Omega,\partial\tilde{\Omega})}{8}\), we have \[\begin{align} \left(\frac{1}{r^N}\int_{B_{r}^N(x_0)\cap\Omega}|u_n|^\gamma\right)^{\frac{1}{\gamma}}&\leq C(N)\left(\fint_{B_r^N(x_0)}v_n^\gamma\right)^{\frac{1}{\gamma}}\nonumber\\&\leq C+C\int_r^R\frac{1}{\rho^{N-1}}\left(\int_{B_\rho^N(x_0)}|u_n|^{2^*-1}\,{\rm d}x\right)\,{\rm d}\rho\label{ineq951465}. \end{align}\tag{35}\] Next, we estimate the last integration for \(r\in [\overline{C}\sigma_n^{-\frac{1}{2}},\frac{\text{dist}(\Omega,\partial\tilde{\Omega})}{8}]\). By Proposition 17, there exists \(C>0\) independent of \(n\) such that \(\|u_n\|_{q_1,q_2,\sigma_n}\leq C\) for any \(q_1,q_2\) satisfying \(\frac{2^*}{2}<q_2<2^*<q_1.\) Let \(q_2=\frac{N+2}{N-2}\) and \(q_1=N\frac{N+2}{N-2}\). Then we choose \(u_{1,n}\) and \(u_{2,n}\) such that \[|u_n|\leq u_{1,n}+u_{2,n},\quad \|u_{1,n}\|_{q_1}\leq C,\quad \|u_{2,n}\|_{q_2}\leq C\sigma_n^{\frac{N}{2^*}-\frac{N}{q_2}}=C\sigma_n^{-\frac{N}{2^*(2^*-1)}}.\] We estimate \[\begin{align} \int_r^R\frac{1}{\rho^{N-1}}\left(\int_{B_\rho^N(x_0)}|u_{1,n}|^{2^*-1}\,{\rm d}x\right)\,{\rm d}\rho&\leq C\|u_{1,n}\|_{q_1}^{2^*-1}\int_0^R\frac{1}{\rho^{N-1}}(\rho^N)^{\frac{N-1}{N}}\,{\rm d}\rho\\ &\leq CR\|u_{1,n}\|_{q_1}^{2^*-1}\leq C, \end{align}\] and using \(r\geq \overline{C}\sigma_n^{-\frac{1}{2}}\), \[\begin{align} \int_r^R\frac{1}{\rho^{N-1}}\left(\int_{B_\rho^N(x_0)}|u_{2,n}|^{2^*-1}\,{\rm d}x\right)\,{\rm d}\rho&\leq C\int_r^R\frac{1}{\rho^{N-1}}\|u_{2,n}\|_{q_2}^{2^*-1}\,{\rm d}\rho\\ &\leq C\int_r^R\frac{1}{\rho^{N-1}}\sigma_n^{-\frac{N}{2^*}}\,{\rm d}\rho\leq C\sigma_n^{-\frac{N}{2^*}}r^{2-N}\leq C. \end{align}\] Combining the above estimates with 35 , we obtain the required result. ◻

Next, we prove a similar estimate for the extension \(U_n\). For that, we impose the second condition on \(\tilde{\Omega}\):

  1. Let \(\tilde{\Omega}\) be such that \(\text{dist}(\Omega,\partial\tilde{\Omega})\geq16\text{ diam}(\Omega)\).

Proposition 19. Let \(r\in[\overline{C}\sigma_n^{-\frac{1}{2}},\text{diam}(\Omega)]\), \(x_0\in\Omega\), and \(\tilde{\Omega}\) be given as in [O951] and [O952]. Then \[\begin{align} \label{est-10} \frac{1}{r^{N+2-2s}}\int_{B_r^+(x_0,0)}y^{1-2s}\left( \int_{\Omega}P(x-\xi,y)|u_n(\xi)|\,{\rm d}\xi\right)\,{\rm d}x\,{\rm d}y\leq C(N,s,\Omega,\tilde{\Omega}). \end{align}\qquad{(1)}\] As a consequence, \[\frac{1}{r^{N+2-2s}}\int_{B_r^+(x_0,0)}y^{1-2s}|U_n(x,y)|\,{\rm d}x\,{\rm d}y\leq C(N,s,\Omega,\tilde{\Omega}).\]

Proof. Using 12 and Tonelli’s theorem, \[\begin{align} \int_{B_r^+(x_0,0)}&y^{1-2s}|U_n(x,y)|\,{\rm d}x\,{\rm d}y\leq\int_{B_r^+(x_0,0)}y^{1-2s}\left( \int_{\Omega}P(x-\xi,y)|u_n(\xi)|\,{\rm d}\xi\right)\,{\rm d}x\,{\rm d}y\\ &\leq\int_{\Omega}|u_n(\xi)|\left(\int_0^r\int_{B_r^N(x_0)}y^{1-2s}P(x-\xi,y)\,{\rm d}x\,{\rm d}y\right)\,{\rm d}\xi\\ &=\left( \int_{B_{2r}^N(x_0)} + \int_{\Omega\setminus B_{2r}^N(x_0)} \right) |u_n(\xi)|\left(\int_0^r\int_{B_r^N(x_0)}y^{1-2s}P(x-\xi,y)\,{\rm d}x\,{\rm d}y\right)\,{\rm d}\xi. \end{align}\] Using the fact \[\int_{\mathbb{R}^N}P(x,y)\,{\rm d}x=1,\] we observe that \[\begin{align} &\int_{B_{2r}^N(x_0)}|u_n(\xi)|\left(\int_0^r\int_{B_r(x_0)}y^{1-2s}P(x-\xi,y)\,{\rm d}x\,{\rm d}y\right)\,{\rm d}\xi\\ &\leq \int_{B_{2r}^N(x_0)}|u_n(\xi)|\left(\int_0^r\int_{\mathbb{R}^N}y^{1-2s}P(x-\xi,y)\,{\rm d}x\,{\rm d}y\right)\,{\rm d}\xi\\ &=\frac{r^{2-2s}}{2-2s}\int_{B_{2r}^N(x_0)}|u_n(\xi)|\,{\rm d}\xi\leq C(N,s,\Omega,\tilde{\Omega}) r^{N+2-2s}, \end{align}\] where the last inequality follows from Proposition 18. When, \(x\in B_{r}^N(x_0)\) and \(\xi\in \Omega\setminus B_{2r}^N(x_0)\), we have \(|x-\xi|>\frac{1}{2}|\xi-x_0|\). Thus, \[y^{1-2s}P(x-\xi,y)= \frac{y}{(|x-\xi|^2+y^2)^{\frac{N+2s}{2}}}\leq \frac{Cy}{|\xi-x_0|^{N+2s}}.\] Thus, \[\int_0^r\int_{B_r^N(x_0)}y^{1-2s}P(x-\xi,y)\,{\rm d}x\,{\rm d}y\leq \frac{Cr^{N+2}}{|\xi-x_0|^{N+2s}}.\] Now, \[\begin{align} &\int_{\Omega\setminus B_{2r}^N(x_0)}|u_n(\xi)|\left(\int_0^r\int_{B_r^N(x_0)}y^{1-2s}P(x-\xi,y)\,{\rm d}x\,{\rm d}y\right)\,{\rm d}\xi\\ &\leq Cr^{N+2}\sum_{j=1}^{\infty}\int_{B_{2^{j+1}r}^N(x_0)\setminus B_{2^{j}r}^N(x_0)}\frac{|u_n(\xi)|}{|\xi-x_0|^{N+2s}}\,{\rm d}\xi\\ &\leq Cr^{2-2s}\sum_{j=1}^{\infty}\frac{1}{2^{j(N+2s)}}\int_{B_{2^{j+1}r}^N(x_0)\setminus B_{2^{j}r}^N(x_0)}|u_n(\xi)|\,{\rm d}\xi. \end{align}\] Observe that if \(2^{j+1}r\leq \frac{\text{dist}(\Omega,\partial\tilde{\Omega})}{8}\), then \[\int_{B_{2^{j+1}r}^N(x_0)\setminus B_{2^{j}r}^N(x_0)}|u_n(\xi)|\,{\rm d}\xi\leq \int_{B_{2^{j+1}r}^N(x_0)}|u_n(\xi)|\,{\rm d}\xi\leq C(N,s,\Omega,\tilde{\Omega})2^{(j+1)N}r^N.\] If \(2^jr\geq \text{diam}(\Omega)\), then \(B_{2^{j+1}r}^N(x_0)\setminus B_{2^{j}r}^N(x_0)\) lies outside \(\Omega\) and thus \[\int_{B_{2^{j+1}r}^N(x_0)\setminus B_{2^{j}r}^N(x_0)}|u_n(\xi)|\,{\rm d}\xi=0.\] Only remaining case is when \(2^{j+1}r> \frac{\text{dist}(\Omega,\partial\tilde{\Omega})}{8}\) and \(2^jr< \text{diam}(\Omega)\) but this can not happen, as [O952] infers that \[2^{j+1}r> \frac{\text{dist}(\Omega,\partial\tilde{\Omega})}{8}\geq 2\text{diam}(\Omega)\implies 2^j r>\text{diam}(\Omega).\] Hence, \[\begin{align} &\int_{\Omega\setminus B_{2r}^N(x_0)}|u_n(\xi)|\left(\int_0^r\int_{B_r(x_0)}y^{1-2s}P(x-\xi,y)\,{\rm d}x\,{\rm d}y\right)\,{\rm d}\xi\\ &\leq C(N,s,\Omega,\tilde{\Omega})r^{N+2-2s}\sum_{j=1}^{\infty}\frac{2^{(j+1)N}}{2^{j(N+2s)}}=C(N,s,\Omega,\tilde{\Omega})r^{N+2-2s}2^N\sum_{j=1}^{\infty}\frac{1}{2^{2sj}}\\ &\leq C(N,s,\Omega,\tilde{\Omega})r^{N+2-2s}. \end{align}\] Accumulating all the estimates, we get ?? . ◻

In the next proposition, we get the estimate of \(u_n\) and \(U_n\) over the safe region \(\mathcal{A}_n^2\) for any \(q \ge 1\).

Proposition 20. For every \(q\geq1\), it holds \[\begin{align} &\int_{\partial\mathcal{A}_n^2\cap\{y=0\}}|u_n|^q\,{\rm d}x\leq C\sigma_n^{-\frac{N}{2}},\label{q-lemma951}\\ &\int_{\mathcal{A}_n^2}y^{1-2s}|U_n|^q\,{\rm d}x\,{\rm d}y\leq C\sigma_n^{-\left(\frac{N+2-2s}{2}+\frac{(s-1)q}{2^*}\right)},\label{q-lemma952} \end{align}\] {#eq: sublabel=eq:q-lemma951,eq:q-lemma952} where \(C\) is independent of \(n\).

Proof. By Proposition 12, \(\text{Tr}(U_n)=\text{Tr}(U_\infty)+\sum_{i=1}^k \Psi_n^i+o_n(1)\) in \(L^{2^*}(\mathbb{R}^N)\). Since \(\text{Tr}(U_\infty)\) weakly solves 1 , by Moser iteration [28], \(\text{Tr}(U_\infty) \in L^{\infty}(\Omega)\). Note that \(B_{\sigma_n^{-\frac{1}{2}}}^N(x_0)\) (where \((x_0,0)\in\partial\mathcal{A}_n^2\cap\{y=0\}\)) does not contain any concentration points, i.e. \[\begin{align} |x-x_n^i|\geq C\sigma_n^{-\frac{1}{2}}, \; i=1,\ldots,k, \text{ for every } x\in B_{\sigma_n^{-\frac{1}{2}}}^N(x_0), \end{align}\] where \(C>0\) is independent of \(n\). Now using the definition of \(\sigma_n\) and \(N\geq 3\), for every \(x\in B_{\sigma_n^{-\frac{1}{2}}}^N(x_0)\), \[\Psi_n^i(x)=(\sigma_n^i)^{\frac{N}{2^*}}\frac{1}{(1+|\sigma_n^i(x-x_n^i)|^2)^{\frac{N-2}{2}}}\leq \frac{(\sigma_n^i)^{\frac{2-N}{2}}}{|x-x_n^i|^{N-2}}\leq C\left(\frac{\sigma_n}{\sigma_n^i}\right)^{\frac{N-2}{2}}\leq C,\] where \(C\) is independent of \(n\). Thus, \[\begin{align} \label{N47295norm32950} \displaystyle \int_{B_{\sigma_n^{-\frac{1}{2}}}(x_0)}|\text{Tr}(U_n)|^{2^*}\,{\rm d}x &\leq C\int_{B_{\sigma_n^{-\frac{1}{2}}}(x_0)} \left(|\text{Tr}(U_\infty)|^{2^*}+\sum_{i=1}^k|\Psi_n^i|^{2^*}\,{\rm d}x+(o_n(1))^{2^*} \right) \,{\rm d}x\nonumber\\ &\leq C\sigma_n^{-\frac{N}{2}}+C\|o_n(1)\|^{2^*}_{L^{2^*}(\mathbb{R}^N)}\to0. \end{align}\tag{36}\] Define \(w_n(x):=|u_n|(\sigma_n^{-\frac{1}{2}}x)\) supported on \(\Omega_n=\sigma_n^{\frac{1}{2}}\Omega\). Applying Kato-type inequalities, we see that \(w_n\) weakly satisfies \[\begin{align} -\Delta w_n+\sigma_n^{s-1}(-\Delta)^sw_n\leq \sigma_n^{-1}(w_n^{p_n-2}+\lambda w_n^{p-2})w_n\text{ a.e. in } \Omega_n, \; w_n = 0 \text{ in } \mathbb{R}^N\setminus \Omega_n. \end{align}\] The Caffarelli-Silvestre’s extension \(W_n\) of \(w_n\) weakly satisfies \[\begin{cases} \text{div}(y^{1-2s}\nabla W_n)=0\text{ in }\mathbb{R}_+^{N+1},\\ W_n(x,0)=w_n(x)\text{ in }\mathbb{R}^N,\\ -\Delta w_n-\sigma_n^{s-1}\lim_{y\to0^+}y^{1-2s}\frac{\partial W_n}{\partial y}\leq (\sigma_n^{-1}(w_n^{p_n-2}+\lambda w_n^{p-2}))w_n\text{ in }\Omega_n. \end{cases}\] Using the Poisson kernel, we get the following relation between \(U_n\) and \(W_n\): \[\begin{align} |U_n(\sigma_n^{-\frac{1}{2}}x,\sigma_n^{-\frac{1}{2}}y)|\leq\int_{\Omega}P(\sigma_n^{-\frac{1}{2}}x-\xi,\sigma_n^{-\frac{1}{2}}y)|u_n(\xi)|\,{\rm d}\xi =\int_{\Omega_n}P(x-\zeta,y)w_n(\zeta)\,{\rm d}\zeta=W_n(x,y). \end{align}\] Let \(y_0=\sigma_n^{\frac{1}{2}}x_0\). Then by 36 , \[\begin{align} \int_{B_1(y_0)}|\sigma_n^{-1}(w_n^{p_n-2}+\lambda w_n^{p-2})|^{\frac{N}{2}}\,{\rm d}z&\leq C\int_{B_1(y_0)}|\sigma_n^{-1}(w_n^{2^*-2}+1)|^{\frac{N}{2}}\,{\rm d}z\leq C\int_{B_{\sigma_n^{-\frac{1}{2}}}(x_0)}(|u_n|^{2^*}+1)\,{\rm d}x\\&\leq C\int_{B_{\sigma_n^{-\frac{1}{2}}}(x_0)} \left( |\text{Tr}(U_n)|^{2^*}+1 \right)\,{\rm d}x\to0. \end{align}\] Now, applying Lemma 9, Proposition 18 and Proposition 19 for large \(n\), we get the following estimate for every \((x_0,0)\in\partial\mathcal{A}_n^2\cap\{y=0\}\): \[\begin{align} &\left(\sigma_n^{\frac{N}{2}}\int_{B_{\frac{1}{2}\sigma_n^{-\frac{1}{2}}}(x_0)}|u_n|^q\,{\rm d}x\right)^{\frac{1}{q}}+\sigma_n^{\frac{s-1}{2^*}}\left(\sigma_n^{\frac{N+2-2s}{2}}\int_{B_{\frac{1}{2}\sigma_n^{-\frac{1}{2}}}^+(x_0,0)}y^{1-2s}|U_n(x,y)|^q\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{q}}\nonumber\\ &\leq\|w_n\|_{L^{q}(B_{\frac{1}{2}}(y_0))}+\sigma_n^{\frac{s-1}{2^*}}\|W_n\|_{L^q(B_{\frac{1}{2}}^+(y_0,0)),y^{1-2s})}\nonumber\\ &\leq C\left(\|w_n\|_{L^{1}(B_{1}(y_0))}+\sigma_n^{\frac{s-1}{2^*}}\|W_n\|_{L^1(B_{1}^+(y_0,0)),y^{1-2s})}\right)\nonumber\\ &= C\sigma_n^{\frac{N}{2}}\int_{B_{\sigma_n^{-\frac{1}{2}}}(x_0)}|u_n|\,{\rm d}x+\sigma_n^{\frac{s-1}{2^*}}\sigma_n^{\frac{N+2-2s}{2}}\int_{B_{\sigma_n^{-\frac{1}{2}}}^+(x_0,0)}y^{1-2s}\left( \int_{\Omega}P(x-\xi,y)|u_n(\xi)|\,{\rm d}\xi\right)\,{\rm d}x\,{\rm d}y\nonumber\\ &\leq C\label{est95q0}, \end{align}\tag{37}\] where \(C\) is independent of \(n\). The last equality holds using 12 for \(W_n\) and the change of variables. Since \(\partial\mathcal{A}_n^2\cap\{y=0\}\) can be covered by finitely many balls \(B_{\frac{1}{2}\sigma_n^{-\frac{1}{2}}}(x_0)\), number of balls being independent of \(n\), we get \[\int_{\partial\mathcal{A}_n^2\cap\{y=0\}}|u_n|^q\,{\rm d}x\leq C\sigma_n^{-\frac{N}{2}}, \text{ for any } q \ge 1.\] Observe that \(\mathcal{A}_n^2\) can not be fully covered by half balls of the form \(B_{\frac{1}{2}\sigma_n^{-\frac{1}{2}}}^+(x_0,0)\). We decompose \(\mathcal{A}_n^2\) as \[\begin{align} \mathcal{A}_n^2 = \mathcal{A}_n^2\cap \left( \left\{0\leq y\leq\frac{1}{2}\sigma_n^{-\frac{1}{2}} \right\} \cup \left\{\frac{1}{2}\sigma_n^{-\frac{1}{2}}\leq y\leq(\overline{C}+4)\sigma_n^{-\frac{1}{2}}\right\} \right). \end{align}\] I: Using 37 and a similar covering argument, we conclude that \[\begin{align} \int_{\mathcal{A}_n^2\cap\left\{0\leq y\leq\frac{1}{2}\sigma_n^{-\frac{1}{2}}\right\}}y^{1-2s}|U_n|^q\,{\rm d}x\,{\rm d}y\leq C\sigma_n^{-\left(\frac{N+2-2s}{2}+\frac{(s-1)q}{2^*}\right)},\label{est95q1} \end{align}\tag{38}\] for every \(q\geq1\).

II: To get an estimate on the remaining region, we apply the Harnack inequality. Consider two domains \(\mathcal{sec:A}_2 \Subset \mathcal{sec:A}_1 \subset\mathbb{R}_+^{N+1}\) such that \[\begin{align} \mathcal{sec:A}_2&=\left(B_{(\overline{C}+4)}^+(y_n,0)\setminus\overline{B^+}_{(\overline{C}+1)}(y_n,0)\right)\cap\left\{\frac{1}{4}\leq y\leq \overline{C}+4\right\},\\ \mathcal{sec:A}_1&=\left(B_{(\overline{C}+5)}^+(y_n,0)\setminus\overline{B^+}_{\overline{C}}(y_n,0)\right)\cap\left\{\frac{1}{5}< y< \overline{C}+5\right\}, \text{ where } y_n=\sigma_n^{\frac{1}{2}}x_n. \end{align}\] Recall that \(W_n\) weakly satisfies \[\text{div}(y^{1-2s}\nabla W_n)=0\text{ in }\mathbb{R}_+^{N+1}.\] Observe that the above operator is uniformly elliptic on \(\mathcal{sec:A}_1\). Applying Harnack inequality [29], \[\sup_{\mathcal{sec:A}_2}W_n\leq C\inf_{\mathcal{sec:A}_2}W_n,\] where \(C\) is independent of \(n\). Using \(|U_n(\sigma_n^{-\frac{1}{2}}(x,y))|\leq W_n(x,y)\), we get \[\sup_{\mathcal{A}_n^2\cap\left\{\frac{1}{4}\sigma_n^{-\frac{1}{2}}\leq y\leq (\overline{C}+4)\sigma_n^{-\frac{1}{2}}\right\}}|U_n|\leq C\inf_{\mathcal{sec:A}_2}W_n,\] where \(C\) is independent of \(n\). Finally, \[\begin{align} &\int_{\mathcal{A}_n^2\cap\left\{\frac{1}{4}\sigma_n^{-\frac{1}{2}}\leq y\leq (\overline{C}+4)\sigma_n^{-\frac{1}{2}}\right\}}y^{1-2s}|U_n|^q\,{\rm d}x\,{\rm d}y\leq C\sigma_n^{-\frac{N+2-2s}{2}} \left(\sup_{\mathcal{A}_n^2\cap\left\{\frac{1}{4}\sigma_n^{-\frac{1}{2}}\leq y\leq (\overline{C}+4)\sigma_n^{-\frac{1}{2}}\right\}}|U_n|^q \right) \nonumber\\ &\leq C\inf_{\mathcal{sec:A}_2}W_n^q\leq C\int_{\mathcal{sec:A}_2 \cap\left\{\frac{1}{4}\leq y\leq\frac{1}{2}\right\}}y^{1-2s}W_n^q\,{\rm d}x\,{\rm d}y\leq C\sigma_n^{\frac{(1-s)q}{2^*}}.\label{est95q2} \end{align}\tag{39}\] In the last inequality, we have used 37 .

Therefore, combining 38 and 39 , we obtain \[\int_{\mathcal{A}_n^2}y^{1-2s}|U_n|^q\,{\rm d}x\,{\rm d}y\leq C\sigma_n^{-\left(\frac{N+2-2s}{2}+\frac{(s-1)q}{2^*}\right)},\] for every \(q\geq1\). This completes the proof. ◻

Finally, we obtain the following gradient estimate of \(u_n\) and \(U_n\).

Proposition 21. It holds that \[\int_{\partial\mathcal{A}_n^3\cap\{y=0\}}|\nabla u_n|^2\,{\rm d}x+\int_{\mathcal{A}_n^3}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y\leq C\sigma_n^{1-\frac{N}{2}},\] where \(C\) is independent of \(n\).

Proof. Consider a cut-off function \(\eta\in \mathcal{C}_c^{\infty}(\mathcal{A}_n^2)\) such that \(\eta=1\) in \(\mathcal{A}_n^3\) and \(|\nabla \eta|\leq C\sigma_n^{\frac{1}{2}}\). Using the test function \(\eta^2U_n\), we see that \[\begin{align} &\int_{\Omega}\nabla u_n\cdot\nabla_x(\eta^2(x,0)u_n)\,{\rm d}x+\int_{\mathbb{R}_+^{N+1}}y^{1-2s}\nabla U_n\cdot\nabla(\eta^2U_n)\,{\rm d}x\,{\rm d}y\\ &\qquad=\int_{\Omega}(|u_n|^{p_n-2}+\lambda|u_n|^{p-2})\eta^2(x,0)u_n^2\,{\rm d}x\\ &\qquad\leq C\int_{\Omega}\left(|u_n|^{2^*-2}+1\right)\eta^2(x,0)u_n^2\,{\rm d}x\\ &\qquad\leq C\int_{\partial\mathcal{A}_n^2\cap\{y=0\}}|u_n|^{2^*}\,{\rm d}x+C\int_{\partial\mathcal{A}_n^2\cap\{y=0\}}u_n^2\,{\rm d}x. \end{align}\] For the gradient terms, using Young’s inequality with \(\varepsilon=\frac{1}{4}\), we see that \[\begin{align} \int_{\Omega}\nabla u_n\cdot\nabla_x(\eta^2(x,0)u_n)\,{\rm d}x&=\int_{\Omega}\eta^2(x,0)|\nabla u_n|^2\,{\rm d}x+2\int_{\Omega}u_n\eta(x,0)\nabla u_n\cdot\nabla \eta\,{\rm d}x\\ &\geq \frac{1}{2}\int_{\Omega}\eta^2(x,0)|\nabla u_n|^2\,{\rm d}x-C\int_{\Omega}u_n^2|\nabla \eta(x,0)|^2\,{\rm d}x, \end{align}\] and similarly, \[\int_{\mathbb{R}_+^{N+1}}y^{1-2s}\nabla U_n\cdot\nabla(\eta^2U_n)\,{\rm d}x\,{\rm d}y\geq\frac{1}{2}\int_{\mathbb{R}_+^{N+1}}y^{1-2s}\eta^2|\nabla U_n|^2\,{\rm d}x\,{\rm d}y-C\int_{\mathbb{R}_+^{N+1}}y^{1-2s}U_n^2|\nabla \eta|^2\,{\rm d}x\,{\rm d}y.\] Combining the above inequalities, we obtain \[\begin{align} \int_{\partial\mathcal{A}_n^3\cap\{y=0\}}|\nabla u_n|^2\,{\rm d}x+\int_{\mathcal{A}_n^3}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y&\leq C\sigma_n\left(\int_{\partial\mathcal{A}_n^2\cap\{y=0\}}u_n^2\,{\rm d}x+\int_{\mathcal{A}_n^2}y^{1-2s}|U_n|^2\,{\rm d}x\,{\rm d}y\right)\\ &+ C\int_{\partial\mathcal{A}_n^2\cap\{y=0\}}|u_n|^{2^*}\,{\rm d}x+C\int_{\partial\mathcal{A}_n^2\cap\{y=0\}}u_n^2\,{\rm d}x. \end{align}\] Estimating the RHS of the above inequality using Proposition 20 yields us \[\begin{align} \int_{\partial\mathcal{A}_n^3\cap\{y=0\}}|\nabla u_n|^2\,{\rm d}x+\int_{\mathcal{A}_n^3}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y&\leq C\sigma_n^{1-\frac{N}{2}}+C\sigma_n^{1-\left(\frac{N+2-2s}{2}+\frac{2(s-1)}{2^*}\right)}+C\sigma_n^{-\frac{N}{2}}\\ &\leq C\sigma_n^{1-\frac{N}{2}}+C\sigma_n^{-\frac{N^2-2N+4-4s}{2N}}\leq C\sigma_n^{1-\frac{N}{2}}, \end{align}\] as required. ◻

2.5 Proof of compactness results↩︎

This subsection aims to prove Theorem 10.

Proof of Theorem 10: We start with the local Pohozaev’s identity. Consider a cut-off function \(\varphi _n\) with \[\begin{align} 0\leq \varphi _n\leq 1, \quad \varphi _n=1 \text{ in } B_{(\overline{C}+2)\sigma_n^{-\frac{1}{2}}}^{N+1}(x_n,0), \quadand\quad \text{supp}(\varphi _n)\subseteq B_{(\overline{C}+3)\sigma_n^{-\frac{1}{2}}}^{N+1}(x_n,0). \end{align}\] Set \(B_n^+:=B_{(\overline{C}+3)\sigma_n^{-\frac{1}{2}}}^+(x_n,0)\). Multiplying \(((X-X_0)\cdot\nabla U_n)\varphi _n\) with \(\text{div}(y^{1-2s}\nabla U_n)\) and integrating over \(B_n^+\), we have \[\begin{align} 0&=\int_{B_n^+}\text{div}(y^{1-2s}\nabla U_n)((X-X_0)\cdot\nabla U_n)\varphi _n\,{\rm d}x\,{\rm d}y\\ &=-\int_{B_n^+}y^{1-2s}\nabla U_n\cdot\nabla(((X-X_0)\cdot\nabla U_n)\varphi _n)\,{\rm d}x\,{\rm d}y\\&\quad+\int_{\partial B_n^+}((X-X_0)\cdot\nabla U_n)\varphi _n y^{1-2s}(\nabla U_n\cdot\nu_N)\,{\rm d}\mathcal{H}^N. \end{align}\] Expanding we see \[\begin{align} &-\int_{B_n^+}y^{1-2s}\nabla U_n\cdot\nabla(((X-X_0)\cdot\nabla U_n)\varphi _n)\,{\rm d}x\,{\rm d}y\\ &=-\int_{B_n^+}y^{1-2s}\nabla U_n\cdot\left[\nabla((X-X_0)\cdot\nabla U_n)\varphi _n+\nabla\varphi _n((X-X_0)\cdot\nabla U_n)\right]\,{\rm d}x\,{\rm d}y\\ &=-\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y-\int_{B_n^+}y^{1-2s}\nabla\left(\frac{1}{2}|\nabla U_n|^2\right)\cdot(X-X_0)\varphi _n\,{\rm d}x\,{\rm d}y\\ &\quad-\int_{B_n^+}y^{1-2s}((X-X_0)\cdot\nabla U_n)(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y\\ &=-\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y+\int_{B_n^+}\frac{1}{2}|\nabla U_n|^2\nabla\cdot((X-X_0)y^{1-2s}\varphi _n)\,{\rm d}x\,{\rm d}y\\ &\quad-\int_{\partial B_n^+}y^{1-2s}\frac{1}{2}|\nabla U_n|^2\varphi _n((X-X_0)\cdot\nu_N)\,{\rm d}\mathcal{H}^N-\int_{B_n^+}y^{1-2s}((X-X_0)\cdot\nabla U_n)(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y\\ &=\frac{N-2s}{2}\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y+\frac{1}{2}\int_{B_n^+}y^{1-2s}|\nabla U_n|^2(X-X_0)\cdot\nabla\varphi _n\,{\rm d}x\,{\rm d}y\\ &\quad-\int_{B_n^+}y^{1-2s}((X-X_0)\cdot\nabla U_n)(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y. \end{align}\] For the first term in the sixth line of the above identities, we use \(X-X_0\perp\nu_N\) on \(\partial B_n^+\cap\{y=0\}\) and \(\varphi _n=0\) on \(\partial B_n^+\cap\{y>0\}\). For brevity, we set \[B_n^N:=\partial B_n^+\cap\{y=0\}=B_{(\overline{C}+3)\sigma_n^{-\frac{1}{2}}}^N(x_n),\] \(f_n(t):=\lambda|t|^{p-2}t+|t|^{p_n-2}t\) and \(F_n(t):=\int_0^tf_n(s)\,{\rm d}s\). Then we have \[\begin{align} &\int_{\partial B_n^+}((X-X_0)\cdot\nabla U_n)\varphi _n y^{1-2s}(\nabla U_n\cdot\nu_N)\,{\rm d}\mathcal{H}^N\\ &=\left(\int_{\partial B_n^+\cap\{y>0\}}+\int_{\partial B_n^+\cap\{y=0\}}\right)((X-X_0)\cdot\nabla U_n)\varphi _n y^{1-2s}(\nabla U_n\cdot\nu_N)\,{\rm d}\mathcal{H}^N\\ &=\int_{\partial B_n^+\cap\{y=0\}}-y^{1-2s}\frac{\partial U_n}{\partial y}((X-X_0)\cdot\nabla U_n)\varphi _n \,{\rm d}\mathcal{H}^N\\ &=\int_{B_n^N\cap\Omega}(f_n(u_n)+\Delta u_n)((x-x_0)\cdot\nabla u_n)\varphi _n(x,0) \,{\rm d}x\\ &=-\int_{B_n^N\cap\Omega}F_n(u_n)\nabla\cdot((x-x_0)\varphi _n)\,{\rm d}x+\int_{\partial(B_n^N\cap\Omega)}F_n(u_n)\varphi _n(x-x_0)\cdot\nu_{N-1}\,{\rm d}\mathcal{H}^{N-1}\\ &\quad-\int_{B_n^N\cap\Omega}\nabla u_n\cdot\nabla(((x-x_0)\cdot\nabla u_n)\varphi _n)\,{\rm d}x+\int_{\partial(B_n^N\cap\Omega)}(\nabla u_n\cdot\nu_{N-1})((x-x_0)\cdot\nabla u_n)\varphi _n\,{\rm d}\mathcal{H}^{N-1}\\ &=-N\int_{B_n^N\cap\Omega}F_n(u_n)\varphi _n(x,0)\,{\rm d}x-\int_{B_n^N\cap\Omega}F_n(u_n)((x-x_0)\cdot\nabla_x\varphi _n(x,0))\,{\rm d}x\\ &\quad+\frac{N-2}{2}\int_{B_n^N\cap\Omega}|\nabla u_n|^2\varphi _n(x,0)\,{\rm d}x+\frac{1}{2}\int_{B_n^N\cap\Omega}|\nabla u_n|^2((x-x_0)\cdot\nabla_x\varphi _n(x,0))\,{\rm d}x\\ &-\int_{B_n^N\cap\Omega}(\nabla u_n\cdot\nabla_x\varphi _n(x,0))((x-x_0)\cdot\nabla u_n))\,{\rm d}x-\int_{ B_n^N\cap\partial\Omega}\frac{1}{2}|\nabla u_n|^2\varphi _n((x-x_0)\cdot\nu_{N-1})\,{\rm d}\mathcal{H}^{N-1}\\ &\quad +\int_{ B_n^N\cap\partial\Omega}(\nabla u_n\cdot\nu_{N-1})((x-x_0)\cdot\nabla u_n)\varphi _n\,{\rm d}\mathcal{H}^{N-1}. \end{align}\] Combining the above identities, we get \[\begin{align} 0&=\frac{N-2s}{2}\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y+\frac{1}{2}\int_{B_n^+}y^{1-2s}|\nabla U_n|^2(X-X_0)\cdot\nabla\varphi _n\,{\rm d}x\,{\rm d}y\nonumber\\ &\quad-\int_{B_n^+}y^{1-2s}((X-X_0)\cdot\nabla U_n)(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y\nonumber\\ &\quad-N\int_{B_n^N\cap\Omega}F_n(u_n)\varphi _n(x,0)\,{\rm d}x-\int_{B_n^N\cap\Omega}F_n(u_n)((x-x_0)\cdot\nabla_x\varphi _n(x,0))\,{\rm d}x\nonumber\\ &\quad+\frac{N-2}{2}\int_{B_n^N\cap\Omega}|\nabla u_n|^2\varphi _n(x,0)\,{\rm d}x+\frac{1}{2}\int_{B_n^N\cap\Omega}|\nabla u_n|^2((x-x_0)\cdot\nabla_x\varphi _n(x,0))\,{\rm d}x\nonumber\\ &-\int_{B_n^N\cap\Omega}(\nabla u_n\cdot\nabla_x\varphi _n(x,0))((x-x_0)\cdot\nabla u_n))\,{\rm d}x-\int_{ B_n^N\cap\partial\Omega}\frac{1}{2}|\nabla u_n|^2\varphi _n((x-x_0)\cdot\nu_{N-1})\,{\rm d}\mathcal{H}^{N-1}\nonumber\\ &\quad +\int_{ B_n^N\cap\partial\Omega}(\nabla u_n\cdot\nu_{N-1})((x-x_0)\cdot\nabla u_n)\varphi _n\,{\rm d}\mathcal{H}^{N-1}.\label{poh951461} \end{align}\tag{40}\] On the other hand multiplying \(U_n\varphi _n\) with \(\text{div}(y^{1-2s}\nabla U_n)\) and integrating by parts over \(B_n^+\) yields \[\begin{align} 0&=\int_{B_n^+}\text{div}(y^{1-2s}\nabla U_n)U_n\varphi _n\,{\rm d}x\,{\rm d}y\nonumber\\ &=-\int_{B_n^+}y^{1-2s}\nabla U_n\cdot\nabla(U_n\varphi _n)\,{\rm d}x\,{\rm d}y+\int_{\partial B_n^+}y^{1-2s}(\nabla U_n\cdot\nu_N)U_n\varphi _n\,{\rm d}\mathcal{H}^{N}\nonumber\\ &=-\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y-\int_{B_n^+}y^{1-2s}U_n(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y\\&\quad+\int_{\partial B_n^{+}\cap\{y=0\}}-y^{1-2s}\frac{\partial U_n}{\partial y}U_n\varphi _n\,{\rm d}\mathcal{H}^{N}\nonumber\\ &=-\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y-\int_{B_n^+}y^{1-2s}U_n(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y\\&\quad+\int_{B_n^{N}\cap\Omega}(f_n(u_n)+\Delta u_n)u_n\varphi _n(x,0)\,{\rm d}x\nonumber\\ &=-\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y-\int_{B_n^+}y^{1-2s}U_n(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y+\int_{ B_n^{N}\cap\Omega}f_n(u_n)u_n\varphi _n(x,0)\,{\rm d}x\nonumber\\ &\quad-\int_{B_n^N\cap\Omega}\nabla u_n\cdot\nabla(u_n\varphi _n(x,0))\,{\rm d}x+\int_{\partial(B_n^N\cap\Omega)}(\nabla u_n\cdot\nu_{N-1})u_n\varphi _n(x,0)\,{\rm d}\mathcal{H}^{N-1}\nonumber\\ &=-\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y-\int_{B_n^+}y^{1-2s}U_n(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y+\int_{ B_n^{N}}f_n(u_n)u_n\varphi _n(x,0)\,{\rm d}x\nonumber\\ &\quad-\int_{B_n^N\cap\Omega}|\nabla u_n|^2\varphi _n(x,0)\,{\rm d}x-\int_{B_n^N\cap\Omega}u_n\nabla u_n\cdot\nabla_x\varphi _n(x,0)\,{\rm d}x.\label{poh951462} \end{align}\tag{41}\] Adding 40 and \(\frac{N-2}{2}\)41 , we obtain \[\begin{align} &\int_{B_n^N\cap\Omega}\left(NF_n(u_n)-\frac{N-2}{2}u_nf_n(u_n)\right)\varphi _n(x,0)\,{\rm d}x-(1-s)\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y\\ &=\frac{1}{2}\int_{B_n^+}y^{1-2s}|\nabla U_n|^2(X-X_0)\cdot\nabla\varphi _n\,{\rm d}x\,{\rm d}y+\frac{1}{2}\int_{B_n^N\cap\Omega}|\nabla u_n|^2(x-x_0)\cdot\nabla_x\varphi _n(x,0)\,{\rm d}x\\ &\quad-\int_{B_n^+}y^{1-2s}((X-X_0)\cdot\nabla U_n)(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y-\int_{B_n^N\cap\Omega}(\nabla u_n\cdot\nabla_x\varphi _n(x,0))((x-x_0)\cdot\nabla u_n)\,{\rm d}x\\ &\quad-\int_{B_n^N\cap\Omega}F_n(u_n)((x-x_0)\cdot\nabla_x\varphi _n(x,0))\,{\rm d}x\\ &\quad-\int_{ B_n^N\cap\partial\Omega}\frac{1}{2}|\nabla u_n|^2\varphi _n((x-x_0)\cdot\nu_{N-1})\,{\rm d}\mathcal{H}^{N-1}+\int_{ B_n^N\cap\partial\Omega}(\nabla u_n\cdot\nu_{N-1})((x-x_0)\cdot\nabla u_n)\varphi _n\,{\rm d}\mathcal{H}^{N-1}.\\ &\quad-\frac{N}{2^*}\left(\int_{B_n^+}y^{1-2s}U_n(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y+\int_{B_n^N\cap\Omega}u_n(\nabla u_n\cdot\nabla_x\varphi _n(x,0))\,{\rm d}x\right). \end{align}\] For large \(n\), we choose \(X_0=(x_0,0)\in\Omega^c\) such that \(|x-x_0|\leq C\sigma_n^{-\frac{1}{2}}\) in \(B_n^N\) and \((x-x_0)\cdot\nu_{N-1}\leq0\) on \(B_n^N\cap\partial\Omega\). Combining this with the fact that \(u_n=0\) on \(\partial\Omega\) yields \[\begin{align} &-\int_{ B_n^N\cap\partial\Omega}\frac{1}{2}|\nabla u_n|^2\varphi _n((x-x_0)\cdot\nu_{N-1})\,{\rm d}\mathcal{H}^{N-1}+\int_{ B_n^N\cap\partial\Omega}(\nabla u_n\cdot\nu_{N-1})((x-x_0)\cdot\nabla u_n)\varphi _n\,{\rm d}\mathcal{H}^{N-1}\\ &=\frac{1}{2}\int_{ B_n^N\cap\partial\Omega}|\nabla u_n|^2\varphi _n((x-x_0)\cdot\nu_{N-1})\,{\rm d}\mathcal{H}^{N-1}\leq0. \end{align}\] Furthermore, using \((\frac{N}{p_n}-\frac{N}{2^*})\int_{B_n^N}|u_n|^{p_n}\,{\rm d}x\geq0\), \[\begin{align} &\left(\frac{N}{p}-\frac{N}{2^*}\right)\lambda\int_{B_n^N \cap \Omega}|u_n|^p\varphi _n(x,0)\,{\rm d}x\\ &\leq\frac{1}{2}\int_{B_n^+}y^{1-2s}|\nabla U_n|^2(X-X_0)\cdot\nabla\varphi _n\,{\rm d}x\,{\rm d}y+\frac{1}{2}\int_{B_n^N\cap\Omega}|\nabla u_n|^2(x-x_0)\cdot\nabla_x\varphi _n(x,0)\,{\rm d}x\\ &\quad-\int_{B_n^+}y^{1-2s}((X-X_0)\cdot\nabla U_n)(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y-\int_{B_n^N\cap\Omega}(\nabla u_n\cdot\nabla_x\varphi _n(x,0))((x-x_0)\cdot\nabla u_n)\,{\rm d}x\\ &\quad-\int_{B_n^N\cap\Omega}F_n(u_n)((x-x_0)\cdot\nabla_x\varphi _n(x,0))\,{\rm d}x+(1-s)\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y\\ &\quad-\frac{N}{2^*}\left(\int_{B_n^+}y^{1-2s}U_n(\nabla U_n\cdot\nabla\varphi _n)\,{\rm d}x\,{\rm d}y+\int_{B_n^N\cap\Omega}u_n(\nabla u_n\cdot\nabla_x\varphi _n(x,0))\,{\rm d}x\right). \end{align}\] We set \[\mathcal{B}_n:=\left(B^+_{(\overline{C}+3)\sigma_n^{-\frac{1}{2}}}(x_n,0)\setminus \overline{B^+}_{(\overline{C}+2)\sigma_n^{-\frac{1}{2}}}(x_n,0)\right)\cap\{y>0\}.\] Now we use that \(\text{supp}(\nabla\varphi _n)\cap\mathbb{R}_+^{N+1}\subset\mathcal{B}_n\), \(|\nabla\varphi _n|\leq C\sigma_n^{\frac{1}{2}}\). Since, \(|x-x_0|\leq C\sigma_n^{-\frac{1}{2}}\) in \(B_n^N\), it holds \(|X-X_0|\leq C\sigma_n^{-\frac{1}{2}}\) in \(B_n^+\). Hence, using Propositions 20 and 21, we obtain \[\begin{align} &\left(\frac{N}{p}-\frac{N}{2^*}\right)\lambda\int_{B_n^N \cap \Omega}|u_n|^p\varphi _n(x,0)\,{\rm d}x\\ &\leq C\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y+\int_{\partial\mathcal{A}_n^3\cap\{y=0\}}(|u_n|^p+|u_n|^{p_n}+|\nabla u_n|^2)\,{\rm d}x\\ &\quad+C\int_{\mathcal{B}_n}y^{1-2s}(\sigma_n|U_n|^2+|\nabla U_n|^2)\,{\rm d}x\,{\rm d}y+\int_{\partial\mathcal{A}_n^3\cap\{y=0\}}(\sigma_n|u_n|^2+|\nabla u_n|^2)\,{\rm d}x\\ &\leq C\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y+C\sigma_n^{1-\frac{N}{2}}+C\sigma_n^{-\frac{N}{2}}\\ &\leq C\int_{B_n^+}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y+C\sigma_n^{1-\frac{N}{2}}. \end{align}\] For the first term in the third line of the above inequalities, we have used Hölder’s inequality and the inequality (see [22]) \[\int_{\mathcal{B}_n}y^{1-2s}|U|^{2}\,{\rm d}x\,{\rm d}y\leq C\sigma_n^{-1}\int_{\mathcal{B}_n}y^{1-2s}|\nabla U|^{2}\,{\rm d}x\,{\rm d}y.\] Using the (PS) decomposition, \(p>\frac{N}{N-2}\) and arguing as in [15], \[\begin{align} \lambda\int_{B_n^N}u_n^p\varphi _n(x,0)\,{\rm d}x\ge\lambda\int_{B_{\sigma_n^{-1}}(x_n)\cap\Omega}u_n^p\,{\rm d}x\geq C\sigma_n^{\frac{N-2}{2}p-N}. \end{align}\] Using Remark 14, we see that \[\begin{align} \int_{B_n^+}y^{1-2s}|\nabla U_n|^2\varphi _n\,{\rm d}x\,{\rm d}y&\leq \int_{B_n^+}y^{1-2s}|\nabla U_n|^2\,{\rm d}x\,{\rm d}y\\ &=\int_{B_n^+}y^{1-2s}|\nabla U_\infty|^2\,{\rm d}x\,{\rm d}y+O\left(\sum_{i=1}^k(\sigma_{n}^i)^{2s-2}\right)\\ &\leq C\sigma_n^{-\frac{N+2-2s}{2}}+C\sigma_n^{2s-2}\leq C\sigma_n^{2s-2}. \end{align}\] Case-1: Suppose \(N>6-4s\), then combining all the estimates we get \[\sigma_n^{\frac{N-2}{2}p-N}\leq C\sigma_n^{2s-2}+C\sigma_n^{1-\frac{N}{2}}\leq C\sigma_n^{2s-2}.\] This implies that \[p\leq\frac{2(N-2+2s)}{N-2},\] which is a contradiction to the given hypothesis on \(p\).
Case-2: Now suppose \(N\leq 6-4s\), then we get \[\sigma_n^{\frac{N-2}{2}p-N}\leq C\sigma_n^{2s-2}+C\sigma_n^{1-\frac{N}{2}}\leq C\sigma_n^{1-\frac{N}{2}}.\] This implies that \[p\leq \frac{N+2}{N-2},\] which contradicts the given hypothesis on \(p\).

Therefore, the (PS) decomposition (Proposition 12) holds without any \(\Psi_n^i\) and as a consequence, \(U_n\) strongly converges in \(\mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\). This completes the proof. 0◻

3 Infinitely many sign-changing solutions↩︎

In this section, as an application of Theorem 1 and following the strategy developed in [7], we prove the existence of infinitely many sign-changing solutions to \[\begin{cases} -\Delta u+(-\Delta)^su=\lambda |u|^{p-2}u+|u|^{2^\ast-2}u&\text{in }\Omega,\\ u=0&\text{in }\mathbb{R}^N\setminus \Omega, \end{cases}\] where \(N,s,p\) be as in Theorem 5.

Let \(0<\lambda_1<\lambda_2\leq\lambda_3\leq\cdots\) be the eigenvalues of \((-\Delta+(-\Delta)^s,\Omega)\) and \(\varphi _k\) be the eigenfunction corresponding to \(\lambda_k\). The set \(\{\varphi _k\}\) forms an orthonormal basis of \(L^2(\Omega)\) and (after a rescaling) also an orthonormal basis of \(X_0(\Omega)\). Define \(E_k=\text{span}\{\varphi _1,\ldots,\varphi _k\}\). These properties follow from standard variational methods and the theory of compact self-adjoint operators. Thus \[X_0(\Omega)=\overline{\cup_{k=1}^\infty E_k}^{\rho(\cdot)},\quad \text{dim}(E_k)=k,\quad E_k\subset E_{k+1}.\] We choose a sequence \(p_n\in(p,2^*)\) such that \(p_n\to 2^*\). As \(p_n\in(p,2^*)\), there exists \(C_0>0\) independent of \(n\) such that \[\label{A950} \|\cdot\|_{p_n}\leq C_0\rho(\cdot) \text{ in }X_0(\Omega),\quad X_0(\Omega)\Subset L^{p_n}(\Omega).\tag{42}\] We consider the functional \[I_{n,\lambda}(u):=\frac{1}{2}\rho(u)^2-\frac{\lambda}{2}\|u\|_p^p-\frac{1}{p_n}\|u\|_{p_n}^{p_n}, \; \forall \, u \in X_0.\] Notice that for any \(u,v \in X_0(\Omega)\), \[\begin{align} I_{n,\lambda}'(u)(v)=\int_{\Omega}\nabla u\cdot\nabla v\,{\rm d}x+\mathbb{A}(u,v)-\lambda\int_{\Omega}|u|^{p-2}uv\,{\rm d}x-\int_{\Omega}|u|^{p_n-2}uv\,{\rm d}x. \end{align}\] By Riesz representation theorem, there exists \(L(u), G(u)\in X_0(\Omega)\) such that \[\langle L(u),v\rangle=\lambda\int_{\Omega}|u|^{p-2}uv\,{\rm d}x,\quad \langle G(u),v\rangle=\int_{\Omega}|u|^{p_n-2}uv\,{\rm d}x.\] Hence \(\nabla I_{n,\lambda}=u- K_{n,\lambda}(u)\) where \(K_{n,\lambda}(u)=L(u)+G(u)\). Observe that both \(L\), \(G\) are continuous and as a result \(K_{n,\lambda}:X_0(\Omega)\to X_0(\Omega)\) is continuous. Let \(u_n\in X_0(\Omega)\) be a critical point of \(I_{n,\lambda}\) i.e. \(u_n\) weakly solves \[-\Delta u+(-\Delta)^su=\lambda|u|^{p-2}u+|u|^{p_n-2}u \text{ in }\Omega,\quad u=0\text{ in }\mathbb{R}^N\setminus \Omega.\] By [28], \(u_n\in \mathcal{C}^{1,\alpha}(\overline{\Omega})\) for any \(\alpha\in(0,\min\{1,2-2s\})\). Now consider the map \(I_{n,\lambda}''(u_n):X_0(\Omega)\to X_0(\Omega)^*\), defined for any \(v,w\in X_0(\Omega)\) by \[I_{n,\lambda}''(u_n)[v,w]=\int_{\Omega}\nabla v\cdot\nabla w\,{\rm d}x+\mathbb{A}(v,w)-\lambda(p-1)\int_{\Omega}|u_n|^{p-2}vw\,{\rm d}x-(p_n-1)\int_{\Omega}|u_n|^{p_n-2}vw\,{\rm d}x.\] Observe that if \(v\in \text{ker}(I_{n,\lambda}''(u_n))\) then \(v\) weakly solves \[-\Delta v+(-\Delta)^sv=\lambda(p-1)|u_n|^{p-2}v+(p_n-1)|u_n|^{p_n-2}v \text{ in }\Omega,\quad v=0\text{ in }\mathbb{R}^N\setminus \Omega.\] For \(f\in L^2(\Omega)\), we define \(K_nf\in X_0(\Omega)\) to be the unique solution of the problem \[-\Delta u+(-\Delta)^su=\lambda(p-1)|u_n|^{p-2}f+(p_n-1)|u_n|^{p_n-2}f \text{ in }\Omega,\quad u=0\text{ in }\mathbb{R}^N\setminus \Omega.\] Now, \(K_n\) is well defined by the Riesz Representation theorem. Since \(u_n\in L^\infty(\Omega)\), \[\begin{align} \rho(K_nf)^2&\leq \left( \lambda(p-1)\|u_n\|_{\infty}^{p-2}+(p_n-1)\|u_n\|_{\infty}^{p_n-2}\right)\|f\|_2\|K_nf\|_2\\ &\leq\left(\lambda(p-1)\|u_n\|_{\infty}^{p-2}+(p_n-1)\|u_n\|_{\infty}^{p_n-2}\right)\|f\|_{2}\rho(K_nf). \end{align}\] Using the fact that \(X_0(\Omega)\Subset L^2(\Omega)\), each \(K_n\) is a bounded, linear, and compact operator. Thus, by Fredholm alternative, \(I_{n,\lambda}''(u_n)\) is a Fredholm operator.

Remark 22. Let \(\mathcal{K}_n=\{u\in X_0:I_{n,\lambda}'(u)=0\}\), \(\mathcal{P}=\{u\in X_0: u\geq0\}\). Then \(\mathcal{P}\) is a closed convex (thus weakly closed) positive cone of \(X_0(\Omega)\). Since eigenfunctions \(\varphi _k\) are sign-changing for \(k\geq2\), \(\pm\mathcal{P}\cap(E_k^\perp\setminus\{0\})=\emptyset\) for \(k\geq2\). For \(\mu>0\), define \(\mathcal{D}(\mu)=\{u\in X_0:\text{dist}(u,\mathcal{P})<\mu\}\). Then \(\mathcal{D}(\mu)\) is an open convex set containing \(\mathcal{P}\) in its interior. Further, \(\mathcal{D}^*=\mathcal{D}^*(\mu):=\mathcal{D}(\mu)\cup(-\mathcal{D}(\mu))\) and \(\mathcal{S}^*=X_0(\Omega)\setminus\mathcal{D}^*\).

Lemma 4. Let \(\lambda>0\). For any \(\mu_0>0\) small enough, \(K_{n,\lambda}\left(\pm\mathcal{D}(\mu_0)\right) \subset \pm\mathcal{D}(\mu)\subset \pm\mathcal{D}(\mu_0)\) for some \(\mu\in(0,\mu_0)\). Moreover, \(\pm\mathcal{D}(\mu_0)\cap\mathcal{K}_n \subset \pm\mathcal{P}\).

Proof. Clearly, \(\pm\mathcal{D}(\mu)\subset \pm\mathcal{D}(\mu_0)\) for every \(\mu\in(0,\mu_0)\). Further, notice that if \(u\in\mathcal{P}\), \(L(u),G(u)\in\mathcal{P}\). To see this, observe by the definition of \(L(u)\) and the inner product, \[\begin{align} \langle L(u), L(u)^-\rangle&=\int_{\Omega}\nabla L(u)\cdot\nabla L(u)^-\,{\rm d}x+\mathbb{A}(L(u),L(u)^-)\\&=-\rho(L(u)^-)^2-\iint_{\mathbb{R}^{2N}}[L(u)^+(x)L(u)^-(y)+L(u)^+(y)L(u)^-(z)]\,{\rm d}\mu\leq0. \end{align}\] On the other hand, since \(u\in\mathcal{P}\), \[\langle L(u), L(u)^-\rangle=\lambda\int_{\Omega} |u|^{p-2}u L(u)^-\,{\rm d}x\geq0.\] Hence, \(L(u)^-=0\) and \(L(u)\in\mathcal{P}\). Similarly, we can check that \(G(u)\in\mathcal{P}\). Further for every \(u\in X_0(\Omega)\), \[\begin{align} &\text{dist}(L(u),\mathcal{P})\rho(L(u)^-)\leq \rho(L(u)-L(u)^+)\rho(L(u)^-)=\rho(L(u)^-)^2\leq-\langle L(u),L(u)^-\rangle\\ &=-\lambda\int_{\Omega}|u|^{p-2}u\,L(u)^-\,{\rm d}x\leq \lambda\int_{\Omega}|u|^{p-2}u^-\,L(u)^-\,{\rm d}x\\&=\lambda\int_{\Omega}(u^-)^{p-1}L(u)^-\,{\rm d}x\leq \lambda\|u^-\|_{p}^{p-1}\|L(u)^-\|_{p}. \end{align}\] Observe that \[\|u^-\|_{p}=\min_{v\in\mathcal{P}}\|u-v\|_{p}.\] To see this, notice that since \(u^+\in\mathcal{P}\), \(\min_{v\in\mathcal{P}}\|u-v\|_{p}\leq \|u^-\|_{p}\). The reverse inequality follows from [30]. Thus, \[\begin{align} \text{dist}(L(u),\mathcal{P})\rho(L(u)^-)&\leq\lambda\|u^-\|_{p}^{p-1}\|L(u)^-\|_{p}\leq C\lambda\left(\min_{v\in\mathcal{P}}\|u-v\|_{p}\right)^{p-1}\rho(L(u)^-)\\ &\leq C\lambda\left(\min_{v\in\mathcal{P}}\rho(u-v)\right)^{p-1}\rho(L(u)^-)=C\lambda\text{dist}(u,\mathcal{P})^{p-1}\rho(L(u)^-). \end{align}\] Similarly, for any \(u\in X_0(\Omega)\), \[\begin{align} \text{dist}(G(u),\mathcal{P})\rho(G(u)^-)&\leq C\,\text{dist}(u,\mathcal{P})^{p_n-1}\rho(G(u)^-). \end{align}\] Since \(p,p_n>2\), we choose \(\mu_0\) sufficiently small so that for any \(\alpha<\nu<1\) and for all \(u\in \mathcal{D}(\mu_0)\), \[\begin{align} &\text{dist}(L(u),\mathcal{P})\leq C\lambda\text{dist}(u,\mathcal{P})^{p-1}\leq \alpha\,\text{dist}(u,\mathcal{P}), \text{ and }\\ &\text{dist}(G(u),\mathcal{P})\leq C\,\text{dist}(u,\mathcal{P})^{p_n-1}\leq \left(\nu-\alpha\right)\text{dist}(u,\mathcal{P}). \end{align}\] Hence, for all \(u\in\mathcal{D}(\mu_0)\), \[\text{dist}(K_{n,\lambda}u,\mathcal{P})\leq \text{dist}(L(u),\mathcal{P})+\text{dist}(G(u),\mathcal{P})\leq\nu\text{dist}(u,\mathcal{P}).\] Thus, \(K_{n,\lambda}(\mathcal{D}(\mu_0))\subset \mathcal{D}(\mu)\) for some \(\mu<\mu_0\). Let \(u\in \mathcal{D}(\mu_0)\cap\mathcal{K}_n\). Then, \(u=K_{n,\lambda}u\) and thus, \[\text{dist}(u,\mathcal{P})=\text{dist}(K_{n,\lambda}u,\mathcal{P})\leq\nu\,\text{dist}(u,\mathcal{P}).\] Since \(\nu<1\), this implies that \(u\in\mathcal{P}\). The rest of the proof is similar. ◻

Lemma 5. Let \(\lambda>0\). For each \(k\geq1\), \[\lim_{\rho(u)\to\infty,\, u\in E_k}I_{n,\lambda}(u)=-\infty.\]

Proof. Recall \[I_{n,\lambda}(u)=\frac{1}{2}\rho(u)^2-\frac{1}{p_n}\|u\|_{p_n}^{p_n}-\frac{\lambda{p}}{\|}u\|_p^p \quad \forall \, u \in X_0.\] Since \(E_k\) is finite dimensional, there exists \(C_{k,n}>0\) such that \(\rho(u)\leq C_{k,n}\|u\|_{p_n}\) for all \(u \in E_k.\) Ignoring the \(L^p\) term, \[I_{n,\lambda}(u)\leq \frac{1}{2}\rho(u)^2-\frac{C_{k,n}^{p_n}}{p_n}\rho(u)^{p_n}\quad \forall \, u \in X_0.\] Since \(p_n>2\), the claim follows. ◻

Lemma 6. Let \(\lambda>0\). For any \(\alpha_1,\alpha_2>0\) there exists \(\alpha_3(\alpha_1,\alpha_2)>0\) such that \(\rho(u)\leq\alpha_3\) for all \(u\in I_{n,\lambda}^{\alpha_1}\cap\{u\in X_0:\|u\|_{p_n}\leq\alpha_2\}\) where \(I_{n,\lambda}^{\alpha_1}=\{u\in X_0:I_{n,\lambda}(u)\leq\alpha_1\}\).

Proof. Using the definition of \(I_{n,\lambda}\) and Hölder’s inequality, \[\begin{align} \frac{1}{2}\rho(u)^2\leq\alpha_1+\frac{1}{p_n}\alpha_2^{p_n}+\frac{1}{p}\alpha_2^p|\Omega|^{\frac{p_n-p}{p_n}}. \end{align}\] Since \(p<p_n\), the claim follows. ◻

We define \[\begin{align} C_{k}^{**}(n,\lambda):=\sup_{E_{k}}I_{n,\lambda}. \end{align}\] By Lemma 5, \(C_{k}^{**}(n,\lambda)\) is well defined and \(C_{k}^{**}(n,\lambda)<\infty\).

Lemma 7. There exists \(T_1>0\) independent of \(k\) and \(n\) such that \[C_{k+1}^{**}(n,\lambda)\leq T_1\lambda_{k+1}^{\frac{p}{p-2}}.\]

Proof. As \(\{\varphi _k\}\) is an orthonormal basis of \(X_0(\Omega)\) (up to scaling) and \(L^2(\Omega)\), using the definition of \(E_{k+1}\), \[\rho(u)^2\leq \lambda_{k+1}\|u\|_2^2.\]

Since \(\Omega\) is bounded and \(2^*>p_n>p>2\), we have for all \(u\in E_{k+1}\), \[\begin{align} I_{n,\lambda}(u)\leq\frac{1}{2}\rho(u)^2-\frac{1}{p_n}\|u\|_{p_n}^{p_n}&\leq\frac{1}{2}\rho(u)^2-C_1\|u\|_{2}^{p_n} \;(\text{using } 2<p_n<2^*)\\ &\leq \frac{1}{2}\rho(u)^2-C_2\|u\|_{2}^{p}+C_3 \;(\text{using } C_1x^{p_n}\geq C_2x^{p}-C_3, x\geq0)\\ &\leq \frac{1}{2}\rho(u)^2-C_2\lambda_{k+1}^{-\frac{p}{2}}\rho(u)^{p}+C_3\leq C_4\lambda_{k+1}^{\frac{p}{p-2}}+C_3 \leq T_1\lambda_{k+1}^{\frac{p}{p-2}}. \end{align}\] The constants \(C_1,\ldots,C_4,T_1\) are independent of \(n\) and \(k\). ◻

Proof of Theorem 5: Observe that \(I_{n,\lambda}\) satisfies the (PS)\(_c\) condition for every \(c\in\mathbb{R}\). Applying [7], \(I_{n,\lambda}\) has a nontrivial sign-changing critical point \(u^*_{n,k}\in \mathcal{S}^*\) at the level \(C^*(n,\lambda,k)\), where \[C^*(n,\lambda,k)\in[-\Lambda_0,C_{k+1}^{**}(n,\lambda)]\subset[-\Lambda_0,T_1\lambda_k^{\frac{p}{p-2}}].\] Furthermore the augmented Morse index (the number of non-positive eigenvalues of the linearized operator) \(m^*(u^*_{n,k})\geq k\) and for fixed \(\lambda,k\), \(\{u^*_{n,k}\}\) weakly solves 4 for \(p_n \in (p,2^*)\). For fixed \(\lambda,k\), using \(C^*(n,\lambda,k)\leq T_1\lambda_{k+1}^{\frac{p}{p-2}}\), we see that \[\begin{align} \left(\frac{1}{2}-\frac{1}{p}\right)\rho(u^*_{n,k})^2&\leq \left(\frac{1}{2}-\frac{1}{p}\right)\rho(u^*_{n,k})^2+\left(\frac{1}{p}-\frac{1}{p_n}\right)\|u^*_{n,k}\|_{p_n}^{p_n}\\&= \frac{1}{2}\rho(u^*_{n,k})^2-\frac{\lambda}{p}\|u^*_{n,k}\|_p^p-\frac{1}{p_n}\|u^*_{n,k}\|_{p_n}^{p_n}\leq T_1\lambda_{k+1}^{\frac{p}{p-2}}. \end{align}\] Hence the sequence \(\{u^*_{n,k}\}_n\) is uniformly bounded in \(X_0(\Omega)\). By Theorem 1, up to a subsequence, we get \(u^*_{n,k}\to u^*_k\) in \(X_0(\Omega)\) and \(u^*_k\) weakly solves 1 . Since no solution of 1 has negative energy, \[0\leq C^*(\lambda,k)=\lim_{n\to\infty} C^*(n,\lambda,k)\leq T_1\lambda_{k+1}^{\frac{p}{p-2}}.\] Now we show that \(u^*_k\) is also sign-changing. Since \(u^*_{n,k}\) weakly solves 4 , we have \[\begin{align} &\rho((u^*_{n,k})^{\pm})^2+2\iint_{\mathbb{R}^{2N}}(u^*_{n,k})^+(x)(u^*_{n,k})^-(y)\,{\rm d}\mu\\ &=\lambda\|(u^*_{n,k})^{\pm}\|_p^p+\|(u^*_{n,k})^{\pm}\|_{p_n}^{p_n}\leq \lambda C\rho((u^*_{n,k})^\pm)^p+C\rho((u^*_{n,k})^\pm)^{p_n}. \end{align}\] This implies \[1\leq\lambda C\rho((u^*_{n,k})^\pm)^{p-2}+C\rho((u^*_{n,k})^\pm)^{p_n-2}.\] Since \(2<p<p_n\), \(\rho((u^*_{n,k})^\pm)\geq C>0\), where \(C\) is independent of \(n\), we take the limit as \(n\to\infty\), to get \(\rho((u^*_k)^\pm)\geq C>0\). Hence \(u^*_k\) is sign-changing. To prove the infinitude of sign-changing solutions, we prove that \(\lim_{k\to\infty}C^*(\lambda,k)=\infty\). Suppose \(\lim_{k\to\infty}C^*(\lambda,k)=c'<\infty\). Then there exists \(n_k\in\mathbb{N}\) such that \(\lim_{k\to\infty}C^*(n_k,\lambda,k)=\lim_{k\to\infty}C^*(\lambda,k)=c'\). Since \(I_{n_k,\lambda}(u^*_{n_k,k})=C^*(n_k,\lambda,k)\) and \(I_{n_k,\lambda}'(u^*_{n_k,k})=0\), \(\{u^*_{n_k,k}\}\) is uniformly bounded in \(X_0(\Omega)\) and using Theorem 1, \(\{u^*_{n_k,k}\}\) converges strongly to \(u_0\) in \(X_0(\Omega)\) as \(k\to\infty\) for some \(u_0\in X_0(\Omega)\). Set \[\begin{align} V_k&:=\lambda(p-1)|u^*_{n_k,k}|^{p-2}-(p_{n_k}-1)|u^*_{n_k,k}|^{p_{n_k}-2}, \text{ and } \\ V_0&:=\lambda(p-1)|u_0|^{p-2}-(2^*-1)|u_0|^{2^*-2}. \end{align}\] Consider the linearized operators \[\begin{align} S_k\varphi :=\left(-\Delta+(-\Delta)^s-V_k\right)\varphi =0, \, \quad k\geq0. \end{align}\] By the Courant-Fischer min-max theorem, we write the eigenvalues as \[\lambda_m(S_k):=\min_{\substack{W_m\subset X_0(\Omega)\\\text{dim}(W_m)=m}}\,\max_{\substack{\varphi \in W_m\\\|\varphi \|_2=1}}\left(\rho(\varphi )^2-\int_{\Omega}V_k\varphi ^2\,{\rm d}x\right),\,\quad m\geq1, k\geq0.\] Since \(u^*_{n_k,k}\to u_0\) in \(X_0(\Omega)\), \(\lambda_m(S_k)\to \lambda_m(S_0)\) as \(k\to\infty\) for every \(m\). On the other hand, we have for any \(k\geq0\), \(\lambda_1(S_k)\leq\lambda_2(S_k)\leq\cdots\to\infty\). This implies that\[m^*(u^*_{n_k,k})\leq m^*(u_0),\;\text{for large }k.\]This contradicts the fact that \(m^*(u^*_{n_k,k})\geq k\) for every \(k\). Hence, \(C^*(\lambda,k)\to\infty\) as \(k\to\infty\). 0◻

Acknowledgement: We sincerely thank Prof. Debabrata Karmakar (TIFR-CAM) for many insightful discussions and for proposing the use of the Caffarelli-Silvestre extension in estimating certain integrals. P. Das also expresses his gratitude to TIFR-CAM for its hospitality during his visit in February 2026.

Funding: The research of M. Bhakta is supported by the Swarnajaynti Fellowship (SB/SJF/2021-22/09) and the ANRF-MATRICS grant (ANRF/ARGM/2025/000126/MTRDST). The research of N. Biswas is supported by the National Board for Higher Mathematics Postdoctoral Fellowship (0204/16(9)/2024/RD-II/6761). The research of P. Das is supported by the National Board for Higher Mathematics PhD Fellowship (0203/5(38)/ 2024-R&D-II/11224).

Competing interests: The authors have no competing interests to declare that are relevant to the content of this article.

Data availability statement: Data sharing is not applicable to this article as no data sets were generated or analysed during the current study.

4 ↩︎

This section accumulates several key estimates needed for the proof of the compactness theorem. In the following lemma, we prove some integral estimates for the weak solution to a certain linear mixed local-nonlocal problem with a potential.

Lemma 8. Let \(u\in X_0(\Omega)\) weakly solve the following problem \[-\Delta u+(-\Delta)^su=f \text{ in } \Omega, \; u=0\text{ in } \mathbb{R}^N\setminus \Omega.\] Then the following hold:

  1. Let \(f \in L^p(\Omega)\) for \(p\in(1,\frac{N}{2})\). Then there exist \(C(N,p)\) such that \[\|u\|_{\frac{Np}{N-2p}}\leq C\|f\|_p.\]

  2. Let \(f=av\), where \(a\in L^{\frac{N}{2}}(\Omega)\) and \(v\in X_0(\Omega)\). Then for \(p>\frac{N}{N-2}\), there exists \(C=C(N,p)\) such that \[\|u\|_p\leq C\|a\|_{\frac{N}{2}}\|v\|_p.\]

  3. Let \(f=av\), where \(a\in L^{\frac{N}{2}}(\Omega)\) and \(v\in X_0(\Omega)\). Then for \(\frac{N}{N-2}<p_2<\frac{2N}{N-2}\), there exists \(C=C(N,p_2)\) such that \[\|u\|_{p_2}\leq C\|a\|_{r}\|v\|_{2^*},\] where \(\frac{1}{p_2}=\frac{1}{r}+\frac{1}{2^*}-\frac{2}{N}.\)

Proof. (i) Following the proof of [31], we obtain for \(\beta>1\), \[\begin{align} \|u\|_{2^*\beta}^{2\beta}\leq \frac{\beta}{S_0}\int_{\Omega}|u|^{2\beta-1}\abs{f} \,{\rm d}x\leq \frac{\beta}{S_0}\|u\|_{2^*\beta}^{2\beta-1}\|f\|_{\frac{2^*\beta}{2^*\beta-2\beta+1}}. \end{align}\] The last inequality follows using the Hölder’s inequality with coefficients \(\left(\frac{2^*\beta}{2\beta-1},\frac{2^*\beta}{2^*\beta-2\beta+1}\right)\). Hence, \[\begin{align} \label{i-1} \|u\|_{2^*\beta}\leq \frac{\beta}{S_0}\|f\|_{\frac{2^*\beta}{2^*\beta-2\beta+1}} \end{align}\tag{43}\] Now using the fact that \[\begin{align} q=\frac{2^*\beta}{2^*\beta-2\beta+1} \Longleftrightarrow 2^*\beta=\frac{Nq}{N-2q}, \end{align}\] 43 concludes (i).

(ii) For \(f=av\) and \(q>1\), applying Hölder’s inequality with exponents \((\frac{N}{2q},\frac{N}{N-2q})\), we get \[\|u\|_{\frac{Nq}{N-2q}}\leq \frac{\beta}{S_0}\|av\|_{q}\leq \frac{\beta}{S_0}\|a\|_{\frac{N}{2}}\|v\|_{\frac{Nq}{N-2q}},\] which concludes (ii).

(iii) For \(p_2\in(\frac{2^*}{2},2^*)\), using (ii) we get \[\|u\|_{p_2}\leq \frac{\beta}{S_0}\|av\|_{\frac{Np_2}{N+2p_2}}\leq \frac{\beta}{S_0}\|a\|_{r}\|v\|_{2^*},\] where \(\frac{1}{r}=\frac{N+2p_2}{Np_2}-\frac{1}{2^*}=\frac{1}{p_2}-\frac{1}{2^*}+\frac{2}{N}.\) ◻

In the following lemma, we prove a Moser iteration for the weak solution to the extension problem.

Lemma 9. Let \(\theta\in(0,1)\), and let \(0\leq W\in \mathcal{X}_{\Omega}^s(\mathbb{R}_+^{N+1})\) weakly solve \[\begin{cases} \text{div}(y^{1-2s}\nabla W)=0\text{ in }\mathbb{R}_+^{N+1},\\ w(x,0)=w(x)\text{ in }\mathbb{R}^N,\\ -\Delta w-\theta\lim_{y\to0^+}y^{1-2s}\frac{\partial W}{\partial y}\leq a(x)w\text{ in }\Omega. \end{cases}\] Then there exists \(\delta>0\) such that if \(\displaystyle\int_{B_1^N(x_0)}|a|^{\frac{N}{2}}\,{\rm d}x\leq\delta,\) the following holds \[\|w\|_{L^p(B_{1/2}^N(x_0))}+\theta^{\frac{1}{2^*}}\|W\|_{L^p(B_{1/2}^+(x_0,0)),y^{1-2s})}\leq C\left(\|w\|_{L^1(B_{1}^N(x_0))}+\theta^{\frac{1}{2^*}}\|W\|_{L^1(B_{1}^+(x_0,0)),y^{1-2s})}\right)\] for any \(p\geq1\) and in any \(B_1^N(x_0)\subset\Omega\).

Proof. For \(1\geq R>r\geq\frac{1}{2}\) consider a cut-off function \(\xi\) in \(\mathbb{R}^{N+1}\) such that \(\xi=1\) in \(B_r^{N+1}(x_0, 0)\), \(\text{supp}(\xi)\subset B_R^{N+1}(x_0, 0)\) and \(|\nabla\xi|\leq \frac{2}{R-r}\).

Using the test function \(\varphi =\xi^2W^{2q-1}, q>1\), we get \[\int_{\Omega}\nabla w\cdot\nabla_x\varphi (x,0)\,{\rm d}x+\theta\int_{\mathbb{R}_+^{N+1}}y^{1-2s}\nabla W\cdot\nabla\varphi \,{\rm d}x\,{\rm d}y\leq\int_{\Omega}a(x)w(x)\varphi (x,0)\,{\rm d}x.\] Observe that \[\begin{align} &\int_{\Omega}\nabla w\cdot\nabla_x\varphi (x,0)\,{\rm d}x\geq \frac{1}{q}\int_{\Omega}|\nabla_x(w^q\xi(x,0))|^2\,{\rm d}x-\frac{C}{q(R-r)^2}\int_{B_R^N(x_0)}w^{2q}\,{\rm d}x,\\ &\theta\int_{\mathbb{R}_+^{N+1}}y^{1-2s}\nabla W\cdot\nabla\varphi \,{\rm d}x\,{\rm d}y\geq \frac{\theta}{q}\int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla(W^q\xi)|^2\,{\rm d}x\,{\rm d}y-\frac{C\theta}{q(R-r)^2}\int_{B_R^+(x_0,0)}y^{1-2s}W^{2q}\,{\rm d}x\,{\rm d}y. \end{align}\] Thus, \[\begin{align} &\int_{\Omega}|\nabla_x(w^q\xi(x,0))|^2\,{\rm d}x+\theta\int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla(W^q\xi)|^2\,{\rm d}x\,{\rm d}y\\ &\leq \frac{C}{(R-r)^2}\left[\int_{B_R^N(x_0)}w^{2q}\,{\rm d}x+\theta\int_{B_R^+(x_0,0)}y^{1-2s}W^{2q}\,{\rm d}x\,{\rm d}y\right]+q\int_{\Omega}a(x)w^{2q}(x)\xi^2(x,0)\,{\rm d}x\\ &\leq \frac{C}{(R-r)^2}\left[\int_{B_R^N(x_0)}w^{2q}\,{\rm d}x+\theta\int_{B_R^+(x_0,0)}y^{1-2s}W^{2q}\,{\rm d}x\,{\rm d}y\right]+q\|a\|_{\frac{N}{2}}\left(\int_{\Omega}(w^{q}(x)\xi(x,0))^{2^*}\,{\rm d}x\right)^{\frac{2}{2^*}}. \end{align}\] By the Sobolev inequality and the trace inequality, we get \[\begin{align} &\int_{\Omega}|\nabla_x(w^q\xi(x,0))|^2\,{\rm d}x+\theta\int_{\mathbb{R}_+^{N+1}}y^{1-2s}|\nabla(W^q\xi)|^2\,{\rm d}x\,{\rm d}y\\ &\leq \frac{C}{(R-r)^2}\left[\int_{B_R^N(x_0)}w^{2q}\,{\rm d}x+\theta\int_{B_R^+(x_0,0)}y^{1-2s}W^{2q}\,{\rm d}x\,{\rm d}y\right]. \end{align}\] where \(C>0\) is independent of \(N\). By 17 , for any \(1\leq k\leq\frac{N+1}{N}+\delta\), using \(\frac{1}{2}\leq r<R\leq1\), we have \[\begin{align} &\left(\int_{B_r^N(x_0)}w^{2kq}\,{\rm d}x+\theta^k\int_{B_r^+(x_0,0)}y^{1-2s}W^{2kq}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{k}}\\ &\leq \left(\int_{B_R^N(x_0)}(w^q\xi(x,0))^{2k}\,{\rm d}x\right)^{\frac{1}{k}}+\theta\left(\int_{B_R^+(x_0,0)}y^{1-2s}(W^q\xi)^{2k}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{k}}\\ &\leq\frac{C}{(R-r)^2}\left[\int_{B_R^N(x_0)}w^{2q}\,{\rm d}x+\theta\int_{B_R^+(x_0,0)}y^{1-2s}W^{2q}\,{\rm d}x\,{\rm d}y\right]. \end{align}\] Hence for any \(1\leq k\leq\frac{N+1}{N}+\delta\) and for any \(q>1\), we have \[\begin{align} &\left(\int_{B_r^N(x_0)}w^{2kq}\,{\rm d}x+\theta^k\int_{B_r^+(x_0,0)}y^{1-2s}W^{2kq}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{2kq}}\nonumber\\ &\leq\left(\frac{C}{R-r}\right)^{\frac{1}{q}}\left(\int_{B_R^N(x_0)}w^{2q}\,{\rm d}x+\theta\int_{B_R^+(x_0,0)}y^{1-2s}W^{2q}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{2q}}.\label{iter951} \end{align}\tag{44}\] Let \(k>1\), \(\frac{1}{2}\leq r^*<R^*\leq1\) and define \(r_i=r^*+\frac{1}{2^i}(R^*-r^*)\), \(i\geq0\). Then \(r_{i+1}-r_i=\frac{1}{2^{i+1}}(R^*-r^*)\). Since 44 is true for any \(\theta\in(0,1)\), iterating 44 with \(R=r_i\), \(r=r_{i+1}\) and \(q=\frac{k^{i-1}2^*}{2}\), we get \[\begin{align} &\left(\int_{B_{r_{i+1}}^N(x_0)}w^{k^{i}2^*}\,{\rm d}x\right)^{\frac{1}{k^{i}2^*}}+\left(\theta^{k^i}\int_{B_{r_{i+1}}^+(x_0,0)}y^{1-2s}W^{k^{i}2^*}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{k^{i}2^*}}\\ &\leq C\left(\int_{B_{r_{i+1}}^N(x_0)}w^{k^{i}2^*}\,{\rm d}x+\theta^{k^i}\int_{B_{r_{i+1}}^+(x_0,0)}y^{1-2s}W^{k^{i}2^*}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{k^{i}2^*}}\\ &\leq\left(\frac{C2^{i+1}}{R^*-r^*}\right)^{\frac{2}{k^{i-1}2^*}}\left(\int_{B_{r_i}^N(x_0)}w^{k^{i-1}2^*}\,{\rm d}x+\theta^{k^{i-1}}\int_{B_{r_i}^+(x_0,0)}y^{1-2s}W^{k^{i-1}2^*}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{k^{i-1}2^*}}\\ &\leq \frac{C}{(R^*-r^*)^{\sum_{j=1}^i\frac{2}{k^{j-1}2^*}}}\left(\int_{B_{R^*}^N(x_0)}w^{2^*}\,{\rm d}x+\theta\int_{B_{R^*}^+\theta(x_0,0)}y^{1-2s}W^{2^*}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{2^*}}. \end{align}\] Hence for any \(p>2^*\), \(\frac{1}{2}\leq r<R\leq 1\) and for some \(\sigma'>0\), \[\begin{align} &\left(\int_{B_{r}^N(x_0)}w^{p}\,{\rm d}x\right)^{\frac{1}{p}}+\theta^{\frac{1}{2^*}}\left(\int_{B_{r}^+(x_0,0)}y^{1-2s}W^{p}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{p}}\\ &\leq \frac{C}{(R-r)^{\sigma'}}\left(\int_{B_{R}^N(x_0)}w^{2^*}\,{\rm d}x\right)^{\frac{1}{2^*}}+\theta^{\frac{1}{2^*}}\frac{C}{(R-r)^{\sigma'}}\left(\int_{B_{R}^+(x_0,0)}y^{1-2s}W^{2^*}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{2^*}}. \end{align}\] Let \(1<2^*<p\), then by Hölder’s inequality and Young’s inequality, \[\begin{align} \frac{C}{(R-r)^{\sigma'}}\|w\|_{L^{2^*}(B_R^N(x_0))}&\leq \frac{C}{(R-r)^{\sigma'}}\|w\|_{L^1(B_R^N(x_0))}^{\kappa}\|w\|_{L^{p}(B_R^N(x_0))}^{1-\kappa}\\ &\leq \frac{1}{2}\|w\|_{L^{p}(B_R^N(x_0))}+\frac{C}{(R-r)^{\sigma''}}\|w\|_{L^1(B_R^N(x_0))}, \end{align}\] similarly, \[\frac{C}{(R-r)^{\sigma'}}\|W\|_{L^{2^*}(B_R^{N+1}(x_0,0), y^{1-2s})}\leq \frac{1}{2}\|W\|_{L^{p}(B_R^{N+1}(x_0,0), y^{1-2s})}+\frac{C}{(R-r)^{\sigma''}}\|W\|_{L^{1}(B_R^{N+1}(x_0,0), y^{1-2s})},\] where \(\kappa\in(0,1)\) and \(\sigma''>0\) are constants. Thus we obtain for any \(p>2^*\) and \(\frac{1}{2}\leq r<R\leq1\), \[\begin{align} &\|w\|_{L^{p}(B_r^N(x_0))}+\theta^{\frac{1}{2^*}}\|W\|_{L^{p}(B_r^{N+1}(x_0,0), y^{1-2s})}\\ &\leq \frac{1}{2}\left(\|w\|_{L^{p}(B_R^N(x_0))}+\theta^{\frac{1}{2^*}}\|W\|_{L^{p}(B_R^{N+1}(x_0,0), y^{1-2s})}\right)\\&\quad+\frac{C}{(R-r)^{\sigma''}}\left(\|w\|_{L^{1}(B_R^N(x_0))}+\theta^{\frac{1}{2^*}}\|W\|_{L^{1}(B_R^{N+1}(x_0,0), y^{1-2s})}\right) \end{align}\] Using an iteration argument (see [32]), we obtain for any \(p>2^*\) and for some \(\sigma>0\), \[\begin{align} &\left(\int_{B_{r}^N(x_0)}w^{p}\,{\rm d}x\right)^{\frac{1}{p}}+\theta^{\frac{1}{2^*}}\left(\int_{B_{r}^+(x_0,0)}y^{1-2s}W^{p}\,{\rm d}x\,{\rm d}y\right)^{\frac{1}{p}}\\ &\leq \frac{C}{(R-r)^{\sigma}}\left(\int_{B_{R}^N(x_0)}w\,{\rm d}x+\theta^{\frac{1}{2^*}}\int_{B_{R}^+(x_0,0)}y^{1-2s}W\,{\rm d}x\,{\rm d}y\right), \end{align}\] Finally, using interpolation, the required estimate holds for every \(p\geq1\). ◻

References↩︎

[1]
A. Biswas. The Pohozaev identity for mixed local-nonlocal operators. J. Math. Anal. Appl., 557 (1): Paper No. 130270, 19, 2026. ISSN 0022-247X,1096-0813. . URL https://doi.org/10.1016/j.jmaa.2025.130270.
[2]
H. Brézis and L. Nirenberg. Positive solutions of nonlinear elliptic equations involving critical Sobolev exponents. Comm. Pure Appl. Math., 36 (4): 437–477, 1983. ISSN 0010-3640,1097-0312. . URL https://doi.org/10.1002/cpa.3160360405.
[3]
G. Devillanova and S. Solimini. Concentration estimates and multiple solutions to elliptic problems at critical growth. Adv. Differential Equations, 7 (10): 1257–1280, 2002. ISSN 1079-9389.
[4]
D. Fortunato and E. Jannelli. Infinitely many solutions for some nonlinear elliptic problems in symmetrical domains. Proc. Roy. Soc. Edinburgh Sect. A, 105: 205–213, 1987. ISSN 0308-2105,1473-7124. . URL https://doi.org/10.1017/S0308210500022046.
[5]
P. N. Srikanth. Uniqueness of solutions of nonlinear Dirichlet problems. Differential Integral Equations, 6 (3): 663–670, 1993. ISSN 0893-4983.
[6]
F. V. Atkinson, H. Brezis, and L. A. Peletier. Solutions d’équations elliptiques avec exposant de Sobolev critique qui changent de signe. C. R. Acad. Sci. Paris Sér. I Math., 306 (16): 711–714, 1988. ISSN 0249-6291.
[7]
M. Schechter and W. Zou. On the Brézis-Nirenberg problem. Arch. Ration. Mech. Anal., 197 (1): 337–356, 2010. ISSN 0003-9527,1432-0673. . URL https://doi.org/10.1007/s00205-009-0288-8.
[8]
R. Servadei and E. Valdinoci. The Brezis-Nirenberg result for the fractional Laplacian. Trans. Amer. Math. Soc., 367 (1): 67–102, 2015. ISSN 0002-9947,1088-6850. . URL https://doi.org/10.1090/S0002-9947-2014-05884-4.
[9]
R. Servadei and E. Valdinoci. A Brezis-Nirenberg result for non-local critical equations in low dimension. Commun. Pure Appl. Anal., 12 (6): 2445–2464, 2013. ISSN 1534-0392,1553-5258. . URL https://doi.org/10.3934/cpaa.2013.12.2445.
[10]
B. Barrios, E. Colorado, R. Servadei, and F. Soria. A critical fractional equation with concave-convex power nonlinearities. Ann. Inst. H. Poincaré C Anal. Non Linéaire, 32 (4): 875–900, 2015. ISSN 0294-1449,1873-1430. . URL https://doi.org/10.1016/j.anihpc.2014.04.003.
[11]
S. Yan, J. Yang, and X. Yu. Equations involving fractional Laplacian operator: compactness and application. J. Funct. Anal., 269 (1): 47–79, 2015. ISSN 0022-1236,1096-0783. . URL https://doi.org/10.1016/j.jfa.2015.04.012.
[12]
L. Li, J. Sun, and S. Tersian. Infinitely many sign-changing solutions for the Brézis-Nirenberg problem involving the fractional Laplacian. Fract. Calc. Appl. Anal., 20 (5): 1146–1164, 2017. ISSN 1311-0454,1314-2224. . URL https://doi.org/10.1515/fca-2017-0061.
[13]
S. Biagi, S. Dipierro, E. Valdinoci, and E. Vecchi. A Brezis-Nirenberg type result for mixed local and nonlocal operators. NoDEA Nonlinear Differential Equations Appl., 32 (4): Paper No. 62, 28, 2025. ISSN 1021-9722,1420-9004. . URL https://doi.org/10.1007/s00030-025-01068-0.
[14]
J. a. V. da Silva, A. Fiscella, and V. A. B. Viloria. Mixed local-nonlocal quasilinear problems with critical nonlinearities. J. Differential Equations, 408: 494–536, 2024. ISSN 0022-0396,1090-2732. . URL https://doi.org/10.1016/j.jde.2024.07.028.
[15]
D. Cao, S. Peng, and S. Yan. Infinitely many solutions for p-laplacian equation involving critical sobolev growth. J. Funct. Anal., 262 (6): 2861–2902, 2012. ISSN 0022-1236,1096-0783. . URL https://doi.org/10.1016/j.jfa.2012.01.006.
[16]
F. Gao and Y. Guo. Multiple solutions for quasilinear elliptic equations with critical exponents in \(\mathbb{R}^N\). Pacific J. Math., 310 (1): 49–83, 2021. ISSN 0030-8730,1945-5844. . URL https://doi.org/10.2140/pjm.2021.310.49.
[17]
S. Chakraborty, D. Gupta, S. Malhotra, and K. Sreenadh. Global compactness result for a brézis-nirenberg-type problem involving mixed local nonlocal operator, 2025. URL https://arxiv.org/abs/2504.15968.
[18]
P. Garain and J. Kinnunen. On the regularity theory for mixed local and nonlocal quasilinear elliptic equations. Trans. Amer. Math. Soc., 375 (8): 5393–5423, 2022. ISSN 0002-9947,1088-6850. . URL https://doi.org/10.1090/tran/8621.
[19]
S.-S. Byun and K. Song. Mixed local and nonlocal equations with measure data. Calc. Var. Partial Differential Equations, 62 (1): Paper No. 14, 35, 2023. ISSN 0944-2669,1432-0835. . URL https://doi.org/10.1007/s00526-022-02349-7.
[20]
T. Gou. Non-degeneracy and uniqueness of ground states to nonlinear elliptic equations with mixed local and nonlocal operators, 2025. URL https://arxiv.org/abs/2509.25677.
[21]
L. Caffarelli and L. Silvestre. An extension problem related to the fractional Laplacian. Comm. Partial Differential Equations, 32 (7-9): 1245–1260, 2007. ISSN 0360-5302,1532-4133. . URL https://doi.org/10.1080/03605300600987306.
[22]
J. Tan and J. Xiong. A Harnack inequality for fractional Laplace equations with lower order terms. Discrete Contin. Dyn. Syst., 31 (3): 975–983, 2011. ISSN 1078-0947,1553-5231. . URL https://doi.org/10.3934/dcds.2011.31.975.
[23]
T. Aubin. Problèmes isopérimétriques et espaces de Sobolev. J. Differential Geometry, 11 (4): 573–598, 1976. ISSN 0022-040X,1945-743X. URL http://projecteuclid.org/euclid.jdg/1214433725.
[24]
G. Talenti. Best constant in Sobolev inequality. Ann. Mat. Pura Appl. (4), 110: 353–372, 1976. ISSN 0003-4622. . URL https://doi.org/10.1007/BF02418013.
[25]
M. Struwe. Variational methods, volume 34 of Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge. A Series of Modern Surveys in Mathematics [Results in Mathematics and Related Areas. 3rd Series. A Series of Modern Surveys in Mathematics]. Springer-Verlag, Berlin, fourth edition, 2008. ISBN 978-3-540-74012-4. Applications to nonlinear partial differential equations and Hamiltonian systems.
[26]
S. Biagi, D. Mugnai, and E. Vecchi. A Brezis-Oswald approach for mixed local and nonlocal operators. Commun. Contemp. Math., 26 (2): Paper No. 2250057, 28, 2024. ISSN 0219-1997,1793-6683. . URL https://doi.org/10.1142/S0219199722500572.
[27]
C. A. Antonini and M. Cozzi. Global gradient regularity and a Hopf lemma for quasilinear operators of mixed local-nonlocal type. J. Differential Equations, 425: 342–382, 2025. ISSN 0022-0396,1090-2732. . URL https://doi.org/10.1016/j.jde.2025.01.030.
[28]
X. Su, E. Valdinoci, Y. Wei, and J. Zhang. On some regularity properties of mixed local and nonlocal elliptic equations. J. Differential Equations, 416: 576–613, 2025. ISSN 0022-0396,1090-2732. . URL https://doi.org/10.1016/j.jde.2024.10.003.
[29]
D. Gilbarg and N. S. Trudinger. Elliptic partial differential equations of second order. Classics in Mathematics. Springer-Verlag, Berlin, 2001. ISBN 3-540-41160-7. Reprint of the 1998 edition.
[30]
A. Domokos and M. M. Marsh. Projections onto cones in Banach spaces. Fixed Point Theory, 19 (1): 167–177, 2018. ISSN 1583-5022,2066-9208.
[31]
M. Bhakta, N. Biswas, and P. Das. Quasilinear problems with mixed local-nonlocal operator and concave-critical nonlinearities: Multiplicity of positive solutions. Discrete and Continuous Dynamical Systems, 2026. ISSN 1078-0947. . URL https://www.aimsciences.org/article/id/69fb06a264170a12e9f7a633.
[32]
M. Giaquinta and E. Giusti. On the regularity of the minima of variational integrals. Acta Math., 148: 31–46, 1982. ISSN 0001-5962,1871-2509. . URL https://doi.org/10.1007/BF02392725.