An Approximate Inverse Spectral Theorem for Manifolds of Constant Negative Curvature

Fuente: arXiv
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Main Author: Mukherjee, Mayukh
Format: Preprint
Published: 2026
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author Mukherjee, Mayukh
author_facet Mukherjee, Mayukh
contents A classical theorem of Colin de Verdière shows that on a closed manifold of fixed topology one can prescribe an arbitrary finite portion of the Laplace-Beltrami spectrum (including multiplicities, subject to the usual topological constraints) by choosing a sufficiently heterogeneous smooth metric. In this paper, we study the same inverse problem under the rigid geometric constraint of \emph{constant negative sectional curvature}. Allowing the topological complexity to vary, we prove that any finite strictly increasing target list can be approximated to arbitrary precision by a closed manifold of constant negative curvature in any dimension $d\ge2$. In $d=2$ the construction uses hyperbolic collar degeneration and the discrete spectral limit theorems of Burger, building on the collar estimates of Buser; in $d\ge3$ we build macroscopically heterogeneous hyperbolic covering manifolds assembled from ``heavy'' vertex clusters and ``long'' corridor chains whose low-energy limit is a prescribed \emph{discrete} graph Laplacian. We also record the universal obstructions at curvature normalization $κ\equiv -1$: Yang-Yau in $d=2$ and Kazhdan-Margulis combined with Bishop--Gromov volume comparison in $d\ge3$. In particular, $λ_1$ is universally bounded at $κ=-1$, so target lists whose first positive eigenvalue exceeds this bound cannot be approximated within the class $κ\equiv -1$, and accommodating arbitrarily large prescribed $λ_1^*$ forces $|κ|\to\infty$. A corollary on the arbitrarily precise prescription of scale-invariant eigenvalue ratios at $κ\equiv -1$ and an explicit worked example are included.
format Preprint
id arxiv_https___arxiv_org_abs_2603_21240
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle An Approximate Inverse Spectral Theorem for Manifolds of Constant Negative Curvature
Mukherjee, Mayukh
Spectral Theory
Differential Geometry
Geometric Topology
A classical theorem of Colin de Verdière shows that on a closed manifold of fixed topology one can prescribe an arbitrary finite portion of the Laplace-Beltrami spectrum (including multiplicities, subject to the usual topological constraints) by choosing a sufficiently heterogeneous smooth metric. In this paper, we study the same inverse problem under the rigid geometric constraint of \emph{constant negative sectional curvature}. Allowing the topological complexity to vary, we prove that any finite strictly increasing target list can be approximated to arbitrary precision by a closed manifold of constant negative curvature in any dimension $d\ge2$. In $d=2$ the construction uses hyperbolic collar degeneration and the discrete spectral limit theorems of Burger, building on the collar estimates of Buser; in $d\ge3$ we build macroscopically heterogeneous hyperbolic covering manifolds assembled from ``heavy'' vertex clusters and ``long'' corridor chains whose low-energy limit is a prescribed \emph{discrete} graph Laplacian. We also record the universal obstructions at curvature normalization $κ\equiv -1$: Yang-Yau in $d=2$ and Kazhdan-Margulis combined with Bishop--Gromov volume comparison in $d\ge3$. In particular, $λ_1$ is universally bounded at $κ=-1$, so target lists whose first positive eigenvalue exceeds this bound cannot be approximated within the class $κ\equiv -1$, and accommodating arbitrarily large prescribed $λ_1^*$ forces $|κ|\to\infty$. A corollary on the arbitrarily precise prescription of scale-invariant eigenvalue ratios at $κ\equiv -1$ and an explicit worked example are included.
title An Approximate Inverse Spectral Theorem for Manifolds of Constant Negative Curvature
topic Spectral Theory
Differential Geometry
Geometric Topology
url https://arxiv.org/abs/2603.21240