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Main Author: Xu, Da
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.22360
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author Xu, Da
author_facet Xu, Da
contents We investigate the spectral properties of the Dirichlet Laplacian on large finite metric balls within irregular infinite graphs of quadratic volume growth. We consider an exhaustion $G_n = B_{R_n}(x_0)$ and the spectral zeta value $Z_n(1) = \operatorname{tr}(L_n^{-1})$ of the killed generator $L_n$. We establish a sharp asymptotic law under the assumptions that the graph satisfies uniform quadratic volume growth (VG(2)) and a Poincare inequality (PI). These analytic-geometric hypotheses imply large-scale regularity. Additionally, we assume a standard quantitative homogenisation property: a uniform local central limit theorem with a polynomial convergence rate. This hypothesis holds for our main example classes and implies the existence of a global heat-kernel constant $\mathcal{G} > 0$ (independent of $x$). In particular, the lazy simple random walk (LSRW) satisfies $p_t(x,x) \sim \mathcal{G}/t$ as $t \to \infty$. Our main theorem establishes the sharp asymptotic $Z_n(1) = \mathcal{G},N_n \log N_n + O(N_n)$, where $N_n := |V(G_n)| \to \infty$ as $n \to \infty$. This implies a relative error of $O(1/\log N_n)$, with constants depending only on the structural parameters of $G$. This result extends far beyond homogeneous lattices. For $\mathbb{Z}^2$, this yields the constant identification $\mathcal{G} = 2/π$, providing a new limit formula that recovers $π$ without $π$ appearing in the input (a "pi-free" limit). Our techniques highlight the robustness of spectral asymptotics under homogenisation in this critical, recurrent setting.
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spellingShingle Sharp Spectral Zeta Asymptotics on Graphs of Quadratic Growth
Xu, Da
Functional Analysis
Probability
We investigate the spectral properties of the Dirichlet Laplacian on large finite metric balls within irregular infinite graphs of quadratic volume growth. We consider an exhaustion $G_n = B_{R_n}(x_0)$ and the spectral zeta value $Z_n(1) = \operatorname{tr}(L_n^{-1})$ of the killed generator $L_n$. We establish a sharp asymptotic law under the assumptions that the graph satisfies uniform quadratic volume growth (VG(2)) and a Poincare inequality (PI). These analytic-geometric hypotheses imply large-scale regularity. Additionally, we assume a standard quantitative homogenisation property: a uniform local central limit theorem with a polynomial convergence rate. This hypothesis holds for our main example classes and implies the existence of a global heat-kernel constant $\mathcal{G} > 0$ (independent of $x$). In particular, the lazy simple random walk (LSRW) satisfies $p_t(x,x) \sim \mathcal{G}/t$ as $t \to \infty$. Our main theorem establishes the sharp asymptotic $Z_n(1) = \mathcal{G},N_n \log N_n + O(N_n)$, where $N_n := |V(G_n)| \to \infty$ as $n \to \infty$. This implies a relative error of $O(1/\log N_n)$, with constants depending only on the structural parameters of $G$. This result extends far beyond homogeneous lattices. For $\mathbb{Z}^2$, this yields the constant identification $\mathcal{G} = 2/π$, providing a new limit formula that recovers $π$ without $π$ appearing in the input (a "pi-free" limit). Our techniques highlight the robustness of spectral asymptotics under homogenisation in this critical, recurrent setting.
title Sharp Spectral Zeta Asymptotics on Graphs of Quadratic Growth
topic Functional Analysis
Probability
url https://arxiv.org/abs/2511.22360