Small-scale magnitude below one for cyclic two-chunk finite metric spaces


Abstract

Motivated by the small-scale viewpoint of Roff and Yoshinaga, we study finite metric spaces whose scaled copies collapse to a single point while their magnitude remembers how the collapse takes place. The limit metric space is geometrically indistinguishable from a point, but the magnitude function can detect differences in the path of collapse. We introduce a four-parameter family of cyclic two-chunk finite metric spaces, compute their magnitude explicitly, and use the formula to construct balanced examples whose small-scale magnitude is less than one. In particular, we exhibit a twelve-point finite metric space satisfying \(\lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX)=44/59<1.\) The guiding question and the terminology around the one-point property come from Leinster’s magnitude of finite metric spaces and from Roff–Yoshinaga’s work on small-scale limits.

1 Introduction↩︎

Magnitude was introduced by Leinster as a size invariant of enriched categories and, in particular, of finite metric spaces [1]. For a finite metric space \(X\), its scaled copy \(tX\) is obtained by multiplying all distances by \(t>0\). As \(t\to 0^+\), the spaces \(tX\) collapse to a one-point metric space. The one-point property asks whether this geometric collapse is reflected by magnitude, namely whether \[\label{eq:one-point-property} \lim_{t\to 0^+}\mathop{\mathrm{Mag}}(tX)=1.\tag{1}\]

The small-scale behaviour of magnitude was recently studied systematically by Roff and Yoshinaga [2]. Their work gives a sharp picture of the one-point property for finite metric spaces. They proved that, for each fixed cardinality, the space of finite metric spaces contains a dense open subset on which the one-point property holds. In this sense, the one-point property is generic. They also showed that this generic behaviour is best possible: every metric space with at most four points has the one-point property, while the property already fails for a certain five-point metric space. In their example, the space is obtained from a two-point space of distance \(4/3\) and a three-point equilateral space of distance \(2\), and its small-scale magnitude is \(7/6\).

An important insight of Roff and Yoshinaga’s work is that failure of the one-point property is not merely a technical pathology. Although such failure is non-generic, it can be quantitatively large: the small-scale limit of magnitude can be made to take arbitrary prescribed real values greater than one. Thus their results reveal a striking contrast. Magnitude is generically stable under collapse to a point, but, in exceptional cases, the small-scale limit can retain delicate information about the manner in which the original finite metric space collapses.

The present note continues this line of investigation by showing that the exceptional behaviour is not confined to the side above one. We construct explicit finite metric spaces whose small-scale magnitude is strictly less than one. More precisely, we introduce a four-parameter family of cyclic two-chunk finite metric spaces, compute their magnitude explicitly, and exhibit a twelve-point example satisfying \[\lim_{t\to 0^+}\mathop{\mathrm{Mag}}(tX)=\frac{44}{59}<1.\] Consequently, a finite metric space can collapse to a point while its magnitude converges to a value below the magnitude of a point.

Before giving the definitions, we display the motivating example. Let \(X\) be the twelve-point finite metric space whose distance matrix is \[\label{eq:intro-matrix} {!}{\displaystyle D= \begin{pmatrix} 0&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&3&3&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}\\ \frac{7}{3}&0&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&\frac{7}{6}&3&3&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}\\ \frac{7}{3}&\frac{7}{3}&0&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&\frac{7}{6}&\frac{7}{6}&3&3&\frac{7}{6}&\frac{7}{6}\\ \frac{7}{3}&\frac{7}{3}&\frac{7}{3}&0&\frac{7}{3}&\frac{7}{3}&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&3&3&\frac{7}{6}\\ \frac{7}{3}&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&0&\frac{7}{3}&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&3&3\\ \frac{7}{3}&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&\frac{7}{3}&0&3&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&3\\ 3&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&3&0&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}\\ 3&3&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&\frac{29}{15}&0&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}\\ \frac{7}{6}&3&3&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&\frac{29}{15}&\frac{29}{15}&0&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}\\ \frac{7}{6}&\frac{7}{6}&3&3&\frac{7}{6}&\frac{7}{6}&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&0&\frac{29}{15}&\frac{29}{15}\\ \frac{7}{6}&\frac{7}{6}&\frac{7}{6}&3&3&\frac{7}{6}&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&0&\frac{29}{15}\\ \frac{7}{6}&\frac{7}{6}&\frac{7}{6}&\frac{7}{6}&3&3&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&\frac{29}{15}&0 \end{pmatrix}}\tag{2}\] The terminology used to describe this matrix will be introduced below. It is a \((6,2;7/3,29/15,3,7/6)\)-two-chunk cyclic metric space; equivalently, its parameters are \[\label{eq:intro-parameters} \alpha=\frac{7}{3},\qquad \beta=\frac{29}{15},\qquad \gamma=3, \qquad \delta=\frac{7}{6}.\tag{3}\] Using the closed formula proved in Proposition 2 and applying l’Hopital’s rule twice as in Proposition 5, one obtains \[\label{eq:intro-limit} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX)=\frac{44}{59}<1.\tag{4}\] Thus this example collapses to a one-point space, but its small-scale magnitude does not converge to the magnitude of a point.

2 Preliminaries↩︎

Definition 1 (Finite metric space). A finite metric space is a pair \((X,d)\), where \(X\) is a finite set and \[\label{eq:metric-axioms} d\colon X\times X\longrightarrow \mathbb{R}_{\geq 0}\tag{5}\] satisfies, for all \(x,y,z\in X\), \[\label{eq:metric-axioms-expanded} d(x,y)=0\Longleftrightarrow x=y,\qquad d(x,y)=d(y,x),\qquad d(x,z)\leq d(x,y)+d(y,z).\tag{6}\]

Definition 2 (Magnitude of a finite metric space). Let \((X,d)\) be a finite metric space with \[\label{eq:ordered-space} X=\{x_1,\ldots,x_m\}.\tag{7}\] Its zeta matrix is \[\label{eq:zeta-matrix} Z_X=\bigl(e^{-d(x_i,x_j)}\bigr)_{1\leq i,j\leq m}.\tag{8}\] A weighting on \(X\) is a vector \(w=(w_1, \ldots,w_m)^T\in \mathbb{R}^m\) satisfying \[\label{eq:weighting-equation} Z_X w=\mathbf{1},\tag{9}\] where \[\label{eq:one-vector} \mathbf{1}=(1,1,\ldots,1)^T\in \mathbb{R}^m.\tag{10}\] If a weighting exists, the magnitude of \(X\) is \[\label{eq:magnitude-definition} \mathop{\mathrm{Mag}}(X)=\sum_{i=1}^m w_i.\tag{11}\] When \(Z_X\) is invertible, the weighting is unique and \[\label{eq:magnitude-inverse} \mathop{\mathrm{Mag}}(X)=\mathbf{1}^TZ_X^{-1}\mathbf{1}.\tag{12}\]

Definition 3 (Scaled metric space). Let \((X,d)\) be a finite metric space and let \(t>0\). The \(t\)-scaled metric space is \[\label{eq:t-scaled-space} tX=(X,td),\tag{13}\] where \[\label{eq:t-scaled-distance} (td)(x,y)=t\,d(x,y)\tag{14}\] for all \(x,y\in X\).

Definition 4 (Distance matrix). A real \(m\times m\) matrix \(D=(D_{ij})\) is called a distance matrix if \[\label{eq:distance-matrix-conditions} D_{ii}=0,\qquad D_{ij}=D_{ji}>0\quad (i\neq j),\tag{15}\] and if the triangle inequalities \[\label{eq:matrix-triangle-inequality} D_{ij}\leq D_{i\ell}+D_{\ell j}\tag{16}\] hold for all \(1\leq i,j,\ell\leq m\).

Definition 5 (Metric space generated by a distance matrix). Let \(D=(D_{ij})\) be an \(m\times m\) distance matrix. The finite metric space generated by \(D\) is \[\label{eq:generated-space} X_D=\{x_1,\ldots,x_m\},\tag{17}\] with metric \(d_D\) defined by \[\label{eq:generated-distance} d_D(x_i,x_j)=D_{ij}.\tag{18}\]

Before introducing the cyclic family, we fix the following notation: for \(s\in\mathbb{R}\), \(\lfloor s\rfloor\) denotes the greatest integer not exceeding \(s\).

Definition 6 (\((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic distance matrix). Let \(n\geq 2\), let \(1\leq k\leq \lfloor n/2\rfloor\), and let \[\label{eq:parameters-positive} \alpha,\beta,\gamma,\delta>0.\tag{19}\] Put \[\label{eq:two-block-set} \mathcal{A}=\{a_0,\ldots,a_{n-1}\},\qquad \mathcal{B}=\{b_0,\ldots,b_{n-1}\},\tag{20}\] where \(a_{i+n}=a_i\) and \(b_{i+n}=b_i\) for every integer \(i\). The \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic matrix is the symmetric \(2n\times 2n\) matrix \(D_{n,k}(\alpha,\beta,\gamma,\delta)\) whose entries are \[\begin{align} D(a_i,a_j)&= \begin{cases} 0,& i=j,\\ \alpha,& i\neq j, \end{cases} \tag{21}\\ D(b_i,b_j)&= \begin{cases} 0,& i=j,\\ \beta,& i\neq j, \end{cases} \tag{22}\\ D(a_i,b_j)&=D(b_j,a_i)= \begin{cases} \gamma,& \begin{aligned}[t] &\text{if } j\equiv i+s \pmod{n}\\ &\text{for some } s\in\{0,1,\ldots,k-1\}, \end{aligned}\\ \delta,& \text{otherwise}. \end{cases} \tag{23} \end{align}\] If this matrix is a distance matrix in the sense of Definition 4, then it is called an \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic distance matrix.

Definition 7 (\((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space). The metric space generated by an \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic distance matrix is called an \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space. We denote it by \[\label{eq:two-chunk-space-notation} X_{n,k}(\alpha,\beta,\gamma,\delta).\tag{24}\]

Lemma 1 (Triangle inequalities for the two-chunk matrix). For \(n\geq 3\) and \(1\leq k\leq \lfloor n/2\rfloor\), the matrix \(D_{n,k}(\alpha,\beta,\gamma,\delta)\) is a distance matrix if and only if the following inequalities hold: \[\begin{align} \max\{\alpha,\beta\}&\leq 2\gamma &&\text{if } k\geq 2, \tag{25}\\ \max\{\alpha,\beta\}&\leq 2\delta, \tag{26}\\ \max\{\alpha,\beta\}&\leq \gamma+\delta, \tag{27}\\ |\gamma-\delta|&\leq \min\{\alpha,\beta\}. \tag{28} \end{align}\]

Proof. It is enough to check non-degenerate triangles. Triangles contained entirely in \(\mathcal{A}\) have all side lengths equal to \(\alpha\), and triangles contained entirely in \(\mathcal{B}\) have all side lengths equal to \(\beta\). Hence those triangles automatically satisfy the triangle inequality.

Consider next a triangle with two vertices in \(\mathcal{A}\) and one vertex in \(\mathcal{B}\), say \(a_i,a_{i'}\in\mathcal{A}\) with \(i\neq i'\), and \(b_j\in\mathcal{B}\). One side has length \(\alpha\). For a vertex \(a_\ell\in\mathcal{A}\), the cross-block side \(d(a_\ell,b_j)\) has length \(\gamma\) exactly when \[\label{eq:gamma-congruence-A} j\equiv \ell+s \pmod{n} \quad\text{for some }s\in\{0,1,\ldots,k-1\},\tag{29}\] and otherwise it has length \(\delta\). Equivalently, for fixed \(j\), the \(\gamma\)-neighbours of \(b_j\) inside \(\mathcal{A}\) are precisely \[\label{eq:gamma-neighbours-A} a_j,a_{j-1},\ldots,a_{j-k+1},\tag{30}\] where subscripts are understood modulo \(n\). Hence exactly \(k\) vertices of \(\mathcal{A}\) have distance \(\gamma\) from \(b_j\), and the remaining \(n-k\) vertices have distance \(\delta\) from \(b_j\). Therefore the two cross-block side lengths are either \((\gamma,\gamma)\), \((\delta,\delta)\), or \((\gamma,\delta)\). Consequently the side lengths of such a triangle are one of \[\label{eq:triangle-types-A} \alpha,\gamma,\gamma;\qquad \alpha,\delta,\delta;\qquad \alpha,\gamma,\delta.\tag{31}\] The type \((\alpha,\gamma,\gamma)\) occurs if and only if \(k\geq2\), because a non-degenerate triangle must use two distinct vertices of \(\mathcal{A}\). The type \((\alpha,\delta,\delta)\) occurs because \(n-k\geq2\), which follows from \(k\leq\lfloor n/2\rfloor\) and \(n\geq3\). The mixed type \((\alpha,\gamma,\delta)\) occurs because \(k\geq1\) and \(n-k\geq1\).

The same argument for a triangle with two vertices in \(\mathcal{B}\) and one vertex in \(\mathcal{A}\) gives the same three possibilities with \(\alpha\) replaced by \(\beta\): \[\label{eq:triangle-types-B} \beta,\gamma,\gamma;\qquad \beta,\delta,\delta;\qquad \beta,\gamma,\delta.\tag{32}\] Hence the triangle inequality is equivalent to the following conditions. For the triples \((s,\gamma,\gamma)\), with \(s\in\{\alpha,\beta\}\), one needs \(s\leq2\gamma\), and this condition is relevant precisely when \(k\geq2\). For the triples \((s,\delta,\delta)\), one needs \(s\leq2\delta\). For the mixed triples \((s,\gamma,\delta)\), one needs \[\label{eq:mixed-triangle-equivalent} s\leq\gamma+\delta, \qquad |\gamma-\delta|\leq s.\tag{33}\] Combining these conditions for \(s=\alpha\) and \(s=\beta\) gives exactly 2528 . ◻

Remark 1. Interchanging \(\gamma\) and \(\delta\) replaces \(k\) by \(n-k\). Thus the convention \(1\leq k\leq \lfloor n/2\rfloor\) removes a redundant copy of the same family.

3 Magnitude formula for two-chunk cyclic spaces↩︎

Definition 8 (Notation for the parameters). Let \[\label{eq:X-two-chunk-notation} X=X_{n,k}(\alpha,\beta,\gamma,\delta)\tag{34}\] be an \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space. The parameters are interpreted as follows: \[\begin{align} \alpha&=d(a_i,a_j) &&(i\neq j), \tag{35}\\ \beta&=d(b_i,b_j) &&(i\neq j), \tag{36}\\ \gamma&=d(a_i,b_j) &&\bigl(j\equiv i+s \pmod{n} \text{ for some }s\in\{0,1,\ldots,k-1\}\bigr), \tag{37}\\ \delta&=d(a_i,b_j) &&\bigl(j\not\equiv i+s \pmod{n} \text{ for every }s\in\{0,1,\ldots,k-1\}\bigr). \tag{38} \end{align}\] For the scaled space \(tX\), set \[\begin{align} A(t)&=1+(n-1)e^{-t\alpha}, \tag{39}\\ B(t)&=1+(n-1)e^{-t\beta}, \tag{40}\\ C(t)&=k e^{-t\gamma}+(n-k)e^{-t\delta}. \tag{41} \end{align}\]

Proposition 2 (Magnitude formula). Let \(X=X_{n,k}(\alpha,\beta,\gamma,\delta)\) be an \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space. If \[\label{eq:nonzero-denominator-finite-t} A(t)B(t)-C(t)^2\neq 0,\qquad{(1)}\] then \[\label{eq:magnitude-formula} \mathop{\mathrm{Mag}}(tX)=\frac{n\bigl(A(t)+B(t)-2C(t)\bigr)}{A(t)B(t)-C(t)^2}.\qquad{(2)}\]

Proof. Consider a vector that is constant on each of the two blocks, and write it as \[\label{eq:block-weighting} w(a_i)=w_{\mathcal{A}}(t),\qquad w(b_i)=w_{\mathcal{B}}(t)\tag{42}\] for all \(i\). For such a vector, every weighting equation attached to a point of \(\mathcal{A}\) has left-hand side \(A(t)w_{\mathcal{A}}(t)+C(t)w_{\mathcal{B}}(t)\), and every weighting equation attached to a point of \(\mathcal{B}\) has left-hand side \(C(t)w_{\mathcal{A}}(t)+B(t)w_{\mathcal{B}}(t)\). Thus this block-constant vector is a weighting exactly when it satisfies the \(2\times 2\) system \[\label{eq:block-weighting-system} \begin{pmatrix} A(t)&C(t)\\ C(t)&B(t) \end{pmatrix} \begin{pmatrix} w_{\mathcal{A}}(t)\\ w_{\mathcal{B}}(t) \end{pmatrix} = \begin{pmatrix} 1\\ 1 \end{pmatrix}.\tag{43}\] Solving 43 gives \[\begin{align} w_{\mathcal{A}}(t)&=\frac{B(t)-C(t)}{A(t)B(t)-C(t)^2}, \tag{44}\\ w_{\mathcal{B}}(t)&=\frac{A(t)-C(t)}{A(t)B(t)-C(t)^2}. \tag{45} \end{align}\] Therefore \[\label{eq:mag-sum-weights} \mathop{\mathrm{Mag}}(tX)=n\bigl(w_{\mathcal{A}}(t)+w_{\mathcal{B}}(t)\bigr) =\frac{n\bigl(A(t)+B(t)-2C(t)\bigr)}{A(t)B(t)-C(t)^2}.\tag{46}\]  ◻

Definition 9 (Numerator and denominator). For an \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space, define \[\begin{align} N(t)&=n\bigl(A(t)+B(t)-2C(t)\bigr), \tag{47}\\ D(t)&=A(t)B(t)-C(t)^2. \tag{48} \end{align}\] Thus, whenever \(D(t)\neq 0\), \[\label{eq:mag-N-D} \mathop{\mathrm{Mag}}(tX)=\frac{N(t)}{D(t)}.\tag{49}\]

Proposition 3 (Vanishing at the collapsed scale). For every metric space \(X_{n,k}(\alpha,\beta,\gamma,\delta)\) in this family, \[\begin{align} \lim_{t\to 0+}N(t)&=0, \label{eq:N-zero-limit}\\ \lim_{t\to 0+}D(t)&=0. \label{eq:D-zero-limit} \end{align}\] {#eq: sublabel=eq:eq:N-zero-limit,eq:eq:D-zero-limit}

Proof. Since \[\label{eq:A-B-C-at-zero} A(0)=n, \qquad B(0)=n, \qquad C(0)=n,\tag{50}\] we have \[\label{eq:N-D-at-zero} N(0)=n(n+n-2n)=0, \qquad D(0)=n^2-n^2=0.\tag{51}\]  ◻

4 Balanced condition and the small-scale formula↩︎

Definition 10 (Balanced condition). An \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space \(X_{n,k}(\alpha,\beta,\gamma,\delta)\) is said to satisfy the balanced condition if \[\label{eq:balanced-condition} 2\bigl(k\gamma+(n-k)\delta\bigr)=(n-1)(\alpha+\beta).\tag{52}\] A scaled family \(tX\) is called a balanced \(t\)-scaled \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space if the underlying space \(X\) satisfies 52 .

Proposition 4 (First derivatives under the balanced condition). Let \(tX\) be a balanced \(t\)-scaled \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space. Then \[\begin{align} N'(0)&=0, \label{eq:N-prime-zero}\\ D'(0)&=0. \label{eq:D-prime-zero} \end{align}\] {#eq: sublabel=eq:eq:N-prime-zero,eq:eq:D-prime-zero}

Proof. Put \[\label{eq:sigma-one} \sigma_1=k\gamma+(n-k)\delta.\tag{53}\] Then \[\begin{align} A'(0)&=-(n-1)\alpha, & B'(0)&=-(n-1)\beta, & C'(0)&=-\sigma_1. \label{eq:first-derivatives-A-B-C} \end{align}\tag{54}\] Therefore \[\begin{align} N'(0)&=n\bigl(-(n-1)(\alpha+\beta)+2\sigma_1\bigr), \tag{55}\\ D'(0)&=n\bigl(-(n-1)(\alpha+\beta)+2\sigma_1\bigr). \tag{56} \end{align}\] Both quantities vanish exactly under 52 . ◻

Proposition 5 (Two applications of l’Hopital’s rule). Let \(tX\) be a balanced \(t\)-scaled \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space. If \[\label{eq:D-second-nonzero} D''(0)\neq 0,\qquad{(3)}\] then \[\label{eq:lhopital-formula} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX)= \frac{N''(0)}{D''(0)}.\qquad{(4)}\]

Proof. By Proposition 3, both \(N(t)\) and \(D(t)\) vanish at \(t=0\). By Proposition 4, their first derivatives also vanish at \(t=0\). Since \(D''(0)\neq 0\), the functions \(D(t)\) and \(D'(t)\) are nonzero for all sufficiently small positive \(t\). Since \(N(t)\) and \(D(t)\) are real analytic functions of \(t\), l’Hopital’s rule applied twice gives \[\label{eq:lhopital-proof} \lim_{t\to 0+}\frac{N(t)}{D(t)} = \lim_{t\to 0+}\frac{N'(t)}{D'(t)} = \lim_{t\to 0+}\frac{N''(t)}{D''(t)} = \frac{N''(0)}{D''(0)}.\tag{57}\] The last equality follows from the continuity of \(N''\) and \(D''\) at \(0\), together with \(D''(0)\neq0\). Using 49 proves ?? . ◻

Corollary 1 (Explicit balanced small-scale formula). Let \(tX\) be a balanced \(t\)-scaled \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space. Define \[\label{eq:Omega-definition} \Omega_{n,k}(\alpha,\beta,\gamma,\delta) =2(n-1)(\alpha^2+\beta^2)-4k(n-k)(\gamma-\delta)^2.\tag{58}\] If \(\Omega_{n,k}(\alpha,\beta,\gamma,\delta)\neq 0\), then \[\label{eq:one-plus-formula} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX) = 1+\frac{(n-1)^2(\alpha-\beta)^2}{\Omega_{n,k}(\alpha,\beta,\gamma,\delta)}.\tag{59}\]

Proof. Put \[\label{eq:sigma-two} \sigma_2=k\gamma^2+(n-k)\delta^2.\tag{60}\] A direct calculation gives \[\begin{align} N''(0)&=n\bigl((n-1)(\alpha^2+\beta^2)-2\sigma_2\bigr), \tag{61}\\ D''(0)&=n(n-1)(\alpha^2+\beta^2)+2(n-1)^2\alpha\beta -2\sigma_1^2-2n\sigma_2. \tag{62} \end{align}\] Under the balanced condition, \[\label{eq:sigma-one-balanced} \sigma_1=\frac{(n-1)(\alpha+\beta)}{2}.\tag{63}\] Moreover, \[\label{eq:sigma-two-variance} \sigma_2=\frac{\sigma_1^2}{n}+\frac{k(n-k)}{n}(\gamma-\delta)^2.\tag{64}\] Substituting 63 and 64 into 61 and 62 yields \[\begin{align} D''(0)&=(n-1)(\alpha^2+\beta^2)-2k(n-k)(\gamma-\delta)^2, \tag{65}\\ N''(0)&=D''(0)+\frac{(n-1)^2}{2}(\alpha-\beta)^2. \tag{66} \end{align}\] Since \(\Omega_{n,k}=2D''(0)\), Proposition 5 gives \[\label{eq:one-plus-proof} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX) =1+\frac{\frac{(n-1)^2}{2}(\alpha-\beta)^2}{D''(0)} =1+\frac{(n-1)^2(\alpha-\beta)^2}{\Omega_{n,k}(\alpha,\beta,\gamma,\delta)}.\tag{67}\]  ◻

5 Small-scale consequences↩︎

Proposition 6 (The cases \(n=3,4,5\)). Let \(3\leq n\leq 5\), and let \(1\leq k\leq \lfloor n/2\rfloor\). For every balanced \(t\)-scaled \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space for which the small-scale limit is finite, \[\label{eq:n-3-4-5-geq-one} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX)\geq 1.\qquad{(5)}\]

Proof. The possible pairs \((n,k)\) with \(3\leq n\leq 5\) and \(1\leq k\leq \lfloor n/2\rfloor\) are \[\label{eq:small-n-all-pairs} (3,1),\qquad (4,1),\qquad (4,2),\qquad (5,1),\qquad (5,2).\tag{68}\] We check these cases one by one, using only the triangle inequalities and the balanced condition.

Set \[\label{eq:u-v-eta} u=\max\{\alpha,\beta\}, \qquad v=\min\{\alpha,\beta\}, \qquad \eta=|\gamma-\delta|.\tag{69}\] The mixed triangle inequalities give \[\label{eq:eta-leq-v} \eta\leq v.\tag{70}\] Recall that \[\label{eq:Omega-small-proof} \Omega_{n,k} = 2(n-1)(u^2+v^2)-4k(n-k)\eta^2.\tag{71}\] By Corollary 1, it is enough to show that \(\Omega_{n,k}\) cannot be negative. Indeed, if \(\Omega_{n,k}>0\), then \[\lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX) = 1+\frac{(n-1)^2(\alpha-\beta)^2}{\Omega_{n,k}} \geq 1.\]

We first treat the three cases with \(k=1\).

For \((n,k)=(3,1)\), we have \[\label{eq:n3k1-Omega} \Omega_{3,1}=4(u^2+v^2)-8\eta^2.\tag{72}\] If \(\Omega_{3,1}<0\), then \[\label{eq:n3k1-contradiction} \eta^2>\frac{u^2+v^2}{2}\geq v^2,\tag{73}\] hence \(\eta>v\), contradicting 70 . Thus \(\Omega_{3,1}\geq 0\).

For \((n,k)=(4,1)\), we have \[\label{eq:n4k1-Omega} \Omega_{4,1}=6(u^2+v^2)-12\eta^2.\tag{74}\] If \(\Omega_{4,1}<0\), then again \[\label{eq:n4k1-contradiction} \eta^2>\frac{u^2+v^2}{2}\geq v^2,\tag{75}\] so \(\eta>v\), contradicting 70 . Hence \(\Omega_{4,1}\geq 0\).

For \((n,k)=(5,1)\), we have \[\label{eq:n5k1-Omega} \Omega_{5,1}=8(u^2+v^2)-16\eta^2.\tag{76}\] If \(\Omega_{5,1}<0\), then \[\label{eq:n5k1-contradiction} \eta^2>\frac{u^2+v^2}{2}\geq v^2,\tag{77}\] so \(\eta>v\), contradicting 70 . Thus \(\Omega_{5,1}\geq 0\).

Next consider \((n,k)=(4,2)\). The balanced condition is \[\label{eq:n4k2-balanced-sum} \gamma+\delta=\frac{3}{4}(u+v).\tag{78}\] Since \(k=2\) and \(n-k=2\), both the \(\gamma\)-edges and the \(\delta\)-edges occur in pairs. Therefore the triangle inequalities force \[\label{eq:n4k2-lower-bounds} u\leq 2\gamma, \qquad u\leq 2\delta,\tag{79}\] or equivalently \[\label{eq:n4k2-gamma-delta-lower} \gamma,\delta\geq \frac{u}{2}.\tag{80}\] In particular, \[\label{eq:n4k2-necessary} \frac{3}{4}(u+v)=\gamma+\delta\geq u,\tag{81}\] so a metric space can exist only if \(u\leq 3v\). Moreover, under the lower bounds 80 , the largest possible value of \(|\gamma-\delta|\) occurs when the smaller of \(\gamma,\delta\) is \(u/2\). Thus \[\label{eq:n4k2-eta-bound} \eta \leq \frac{3}{4}(u+v)-u = \frac{3v-u}{4}.\tag{82}\] Now \[\label{eq:n4k2-Omega} \Omega_{4,2}=6(u^2+v^2)-16\eta^2.\tag{83}\] If \(\Omega_{4,2}<0\), then \[\label{eq:n4k2-negative-condition} \eta^2>\frac{3}{8}(u^2+v^2).\tag{84}\] On the other hand, 82 gives \[\label{eq:n4k2-upper-square} \eta^2\leq \frac{(3v-u)^2}{16}.\tag{85}\] But, since \(u\geq v>0\), \[\label{eq:n4k2-elementary-positive} 6(u^2+v^2)-(3v-u)^2 = 5u^2+6uv-3v^2 >0.\tag{86}\] Equivalently, \[\label{eq:n4k2-contradiction} \frac{(3v-u)^2}{16} < \frac{3}{8}(u^2+v^2),\tag{87}\] which contradicts 84 . Hence \(\Omega_{4,2}>0\).

Finally consider \((n,k)=(5,2)\). The balanced condition is \[\label{eq:n5k2-balanced} 2\gamma+3\delta=2(u+v).\tag{88}\] Again, since \(k=2\) and \(n-k=3\), the triangle inequalities force \[\label{eq:n5k2-lower-bounds} u\leq 2\gamma, \qquad u\leq 2\delta,\tag{89}\] so \[\label{eq:n5k2-gamma-delta-lower} \gamma,\delta\geq \frac{u}{2}.\tag{90}\] Therefore \[\label{eq:n5k2-necessary} 2(u+v)=2\gamma+3\delta\geq \frac{5u}{2},\tag{91}\] and hence a metric space can exist only if \[\label{eq:n5k2-u-bound} u\leq 4v.\tag{92}\]

We now bound \(\eta=|\gamma-\delta|\) directly. If \(\gamma\geq \delta\), then \(\gamma=\delta+\eta\), and 88 gives \[\label{eq:n5k2-case-one-delta} 5\delta+2\eta=2(u+v).\tag{93}\] Since \(\delta\geq u/2\), we obtain \[\label{eq:n5k2-case-one-eta} \eta\leq v-\frac{u}{4} = \frac{4v-u}{4}.\tag{94}\] If \(\delta\geq \gamma\), then \(\delta=\gamma+\eta\), and 88 gives \[\label{eq:n5k2-case-two-gamma} 5\gamma+3\eta=2(u+v).\tag{95}\] Since \(\gamma\geq u/2\), we obtain \[\label{eq:n5k2-case-two-eta} \eta\leq \frac{4v-u}{6} \leq \frac{4v-u}{4},\tag{96}\] where the last inequality uses 92 . Hence, in all cases, \[\label{eq:n5k2-eta-bound} \eta\leq \frac{4v-u}{4}.\tag{97}\]

Now \[\label{eq:n5k2-Omega} \Omega_{5,2}=8(u^2+v^2)-24\eta^2.\tag{98}\] If \(\Omega_{5,2}<0\), then \[\label{eq:n5k2-negative-condition} \eta^2>\frac{u^2+v^2}{3}.\tag{99}\] But 97 implies \[\label{eq:n5k2-upper-square} \eta^2\leq \frac{(4v-u)^2}{16}.\tag{100}\] Since \(u\geq v>0\), \[\label{eq:n5k2-elementary-positive} 16(u^2+v^2)-3(4v-u)^2 = 13u^2+24uv-32v^2 >0.\tag{101}\] Equivalently, \[\label{eq:n5k2-contradiction} \frac{(4v-u)^2}{16} < \frac{u^2+v^2}{3},\tag{102}\] contradicting 99 . Hence \(\Omega_{5,2}>0\).

We have shown, case by case, that \(\Omega_{n,k}<0\) is impossible for every pair in 68 . Therefore, in all cases with \(\Omega_{n,k}>0\), Corollary 1 gives \[\lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX)\geq 1.\]

It remains only to handle the possible equality case \(\Omega_{n,k}=0\). The above argument shows that equality can occur only in the cases \(k=1\), and then necessarily \[\label{eq:k1-equality-case} u=v, \qquad \eta=v.\tag{103}\] Thus \(\alpha=\beta=v\), and hence \(A(t)=B(t)\). The magnitude formula ?? becomes, after cancelling the common factor \(A(t)-C(t)\), \[\label{eq:k1-degenerate-cancellation} \mathop{\mathrm{Mag}}(tX) = \frac{2n(A(t)-C(t))}{(A(t)-C(t))(A(t)+C(t))} = \frac{2n}{A(t)+C(t)}.\tag{104}\] Since \(A(0)=C(0)=n\), we get \[\label{eq:k1-degenerate-limit-final} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX) = \frac{2n}{2n} = 1.\tag{105}\] Thus every balanced \(t\)-scaled \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space with \(3\leq n\leq 5\) has finite small-scale magnitude at least \(1\). ◻

Proposition 7 (The case \(n=6\)). Let \(n=6\), and let \(1\leq k\leq 3\).

  1. For \(k=1\) and \(k=3\), there is no balanced \(t\)-scaled \((6,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space with finite small-scale magnitude less than \(1\).

  2. For \(k=2\), for every \(R\in\mathbb{R}\setminus\{1\}\), there exists a balanced \(t\)-scaled \((6,2;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space such that \[\label{eq:n6k2-arbitrary-R} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX)=R.\qquad{(6)}\]

  3. In particular, there exists a twelve-point finite metric space such that \[\label{eq:twelve-point-below-one} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX)<1.\qquad{(7)}\]

Proof. Let \(u,v,\eta\) be as in 69 .

For \(k=1\), the estimate \[\label{eq:n6k1-Omega} \Omega_{6,1}=10(u^2+v^2)-20\eta^2 \geq 10(u^2-v^2)\tag{106}\] shows that \(\Omega_{6,1}\geq 0\). If \(\Omega_{6,1}>0\), then Corollary 1 gives a limit at least \(1\). If \(\Omega_{6,1}=0\), then \(\alpha=\beta\), and the same direct expansion as in 105 gives limit \(1\).

For \(k=3\), the balanced condition gives \[\label{eq:n6k3-balanced} \gamma+\delta=\frac{5}{6}(u+v).\tag{107}\] Since \(\gamma,\delta\geq u/2\), \[\label{eq:n6k3-eta-bound} \eta\leq \gamma+\delta-u=\frac{5v-u}{6}.\tag{108}\] Thus \[\label{eq:n6k3-Omega-positive} \Omega_{6,3} =10(u^2+v^2)-36\eta^2 \geq 10(u^2+v^2)-(5v-u)^2>0.\tag{109}\] Again Corollary 1 implies that the finite small-scale limit is at least \(1\). This proves (1).

It remains to prove (2). We use two explicit one-parameter families. The particular normalizations used below are not canonical; they are chosen to make the balanced condition automatic and to keep the resulting one-variable formulae transparent.

First, we impose the simplifying condition \(\gamma=\delta\). If \(\alpha=r\) and \(\beta=1\), then the balanced condition forces \(\gamma=\delta=5(r+1)/12\). Thus, for \(1\leq r\leq 5\), define \[\label{eq:n6-family-zero} \alpha=r, \qquad \beta=1, \qquad \gamma=\delta=\frac{5(r+1)}{12}.\tag{110}\] This family is balanced, and Lemma 1 shows that it is a metric family exactly in the displayed range. Since \(\gamma=\delta\), Corollary 1 gives \[\label{eq:n6-L-zero} L_0(r) :=\lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX) =1+\frac{25(r-1)^2}{10(r^2+1)}.\tag{111}\] The function \(L_0\) is continuous and increasing on \([1,5]\), and \[\label{eq:n6-L-zero-endpoints} L_0(1)=1, \qquad L_0(5)=\frac{33}{13}.\tag{112}\] Hence this family realizes every value in \([1,33/13]\).

Second, for \(1\leq r\leq 5\), define \[\label{eq:n6-family-one} \alpha=r, \qquad \beta=1, \qquad \delta=\frac{r}{2}, \qquad \gamma=\frac{r+5}{4}.\tag{113}\] This family is also balanced and metric by Lemma 1. Here \[\label{eq:n6-family-one-eta} \gamma- \delta=\frac{5-r}{4},\tag{114}\] and Corollary 1 gives \[\label{eq:n6-L-one} L_1(r) :=\lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX) =1+\frac{25(r-1)^2}{4(2r^2+5r-10)}.\tag{115}\] The denominator in 115 vanishes at \[\label{eq:n6-root} r_0=\frac{\sqrt{105}-5}{4}\in(1,5).\tag{116}\] Moreover, \[\begin{align} \lim_{r\to r_0-}L_1(r)&=-\infty, \tag{117}\\ \lim_{r\to r_0+}L_1(r)&=+\infty, \tag{118}\\ L_1(1)&=1, \tag{119}\\ L_1(5)&=\frac{33}{13}. \tag{120} \end{align}\] By continuity, \(L_1\) realizes every value below \(1\) on \([1,r_0)\), and every value at least \(33/13\) on \((r_0,5]\). Together with 111 , this realizes every value in \(\mathbb{R}\setminus\{1\}\). This proves (2).

Finally, (3) follows from (2) by choosing any \(R<1\). The concrete matrix in 2 gives the explicit value \(R=44/59\). ◻

Proposition 8 (The cases \(n\geq 7\)). Let \(n\geq 7\) and let \[\label{eq:n-geq-seven-k-condition} 2\leq k\leq \left\lfloor\frac{n}{2}\right\rfloor.\qquad{(8)}\] Then for every \(R\in\mathbb{R}\setminus\{1\}\), there exists a balanced \(t\)-scaled \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric space such that \[\label{eq:n-geq-seven-arbitrary-R} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX)=R.\qquad{(9)}\]

Proof. Put \[\label{eq:m-q-definition} m=n-1, \qquad q=n-k.\tag{121}\] Since \(n\geq 7\) and \(2\leq k\leq \lfloor n/2\rfloor\), one can choose a real number \(\theta\) satisfying \[\label{eq:theta-choice} \sqrt{\frac{m}{kq}}<\theta<\min\left\{1,\frac{n-2}{2k}\right\}.\tag{122}\] Indeed, \(kq>m\), and the inequality \[\label{eq:theta-interval-nonempty} \frac{m}{kq}<\frac{(n-2)^2}{4k^2}\tag{123}\] follows from \(k\leq n/2\), \(q\geq n/2\), and \((n-2)^2>4(n-1)\) for \(n\geq 7\).

For \(r>1\) close to \(1\) and for \(0\leq h\leq \theta\), define \[\begin{align} \beta&=1, \tag{124}\\ \alpha&=r, \tag{125}\\ \delta(r,h)&=\frac{(n-1)(r+1)}{2n}-\frac{k}{n}h, \tag{126}\\ \gamma(r,h)&=\delta(r,h)+h. \tag{127} \end{align}\] Then \[\label{eq:general-family-balanced} k\gamma(r,h)+(n-k)\delta(r,h)=\frac{(n-1)(r+1)}{2},\tag{128}\] so the balanced condition holds. By the strict upper bound in 122 , the inequalities in Lemma 1 hold for all \(0\leq h\leq\theta\), after restricting \(r\) to a sufficiently small interval \((1,1+\varepsilon)\). Hence 124127 define balanced \((n,k;\alpha,\beta,\gamma,\delta)\)-two-chunk cyclic metric spaces.

For this family, Corollary 1 gives \[\label{eq:general-family-limit} L(r,h) :=\lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX) =1+\frac{m^2(r-1)^2}{2m(r^2+1)-4kq h^2},\tag{129}\] whenever the denominator is nonzero. For \(r\) sufficiently close to \(1\), the denominator in 129 is positive at \(h=0\), while it is negative at \(h=\theta\), because \[\label{eq:general-denominator-signs} 2m(1^2+1)-4kq\theta^2=4m-4kq\theta^2<0.\tag{130}\] Thus the denominator crosses zero as \(h\) varies from \(0\) to \(\theta\). On the positive side of the crossing, \(L(r,h)\) tends to \(+\infty\); on the negative side, it tends to \(-\infty\). Also, \[\begin{align} L(r,0)&=1+\frac{m(r-1)^2}{2(r^2+1)}\longrightarrow 1 \quad \text{as } r\to 1+, \tag{131}\\ L(r,\theta)&\longrightarrow 1 \quad \text{as } r\to 1+, \tag{132} \end{align}\] with \(L(r,\theta)<1\) for \(r\) sufficiently close to \(1\).

Now let \(R>1\). Choose \(r>1\) sufficiently close to \(1\) so that \(L(r,0)<R\). Since \(L(r,h)\to +\infty\) at the positive side of the zero of the denominator, the intermediate value theorem gives an \(h\in[0,\theta]\) with \(L(r,h)=R\). Similarly, if \(R<1\), choose \(r>1\) sufficiently close to \(1\) so that \(L(r,\theta)>R\). Since \(L(r,h)\to -\infty\) at the negative side of the zero of the denominator, the intermediate value theorem again gives an \(h\in[0,\theta]\) with \(L(r,h)=R\). This proves the proposition. ◻

6 Example revisited↩︎

Example 1 (The twelve-point example). The matrix in 2 is \[\label{eq:example-as-two-chunk} D_{6,2}\left(\frac{7}{3},\frac{29}{15},3,\frac{7}{6}\right).\tag{133}\] The triangle inequalities follow from Lemma 1, since \[\begin{align} \max\left\{\frac{7}{3},\frac{29}{15}\right\}&=\frac{7}{3}\leq 2\cdot 3, \tag{134}\\ \max\left\{\frac{7}{3},\frac{29}{15}\right\}&=\frac{7}{3}=2\cdot \frac{7}{6}, \tag{135}\\ \max\left\{\frac{7}{3},\frac{29}{15}\right\}&=\frac{7}{3}\leq 3+\frac{7}{6}, \tag{136}\\ \left|3-\frac{7}{6}\right|&=\frac{11}{6}<\frac{29}{15} =\min\left\{\frac{7}{3},\frac{29}{15}\right\}. \tag{137} \end{align}\] It is balanced because \[\label{eq:example-balanced} 2\left(2\cdot 3+4\cdot \frac{7}{6}\right) =\frac{64}{3} =5\left(\frac{7}{3}+\frac{29}{15}\right).\tag{138}\] Moreover, \[\begin{align} \Omega_{6,2} &=10\left(\left(\frac{7}{3}\right)^2+ \left(\frac{29}{15}\right)^2\right) -32\left(3-\frac{7}{6}\right)^2 \tag{139}\\ &=-\frac{236}{15}, \tag{140} \end{align}\] and \[\label{eq:example-numerator-computation} (6-1)^2\left(\frac{7}{3}-\frac{29}{15}\right)^2=4.\tag{141}\] Therefore Corollary 1 gives \[\label{eq:example-final-limit} \lim_{t\to 0+}\mathop{\mathrm{Mag}}(tX) =1+\frac{4}{-236/15} =\frac{44}{59}<1.\tag{142}\]

Acknowledgements↩︎

The author used LLM as an auxiliary tool during the final stage of this work, mainly for brainstorming, checking algebraic manipulations, and improving the exposition. The research direction and mathematical content were developed, reviewed, and verified by the author, who takes full responsibility for the paper.

References↩︎

[1]
T. Leinster, The magnitude of metric spaces, Documenta Mathematica 18 (2013), 857–905.
[2]
E. Roff and M. Yoshinaga, The small-scale limit of magnitude and the one-point property, Bulletin of the London Mathematical Society 57 (2025), no. 6, 1841–1855.