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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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48 results for spectral gap

Study spectral gaps in hyperbolic rational homology spheres.

problem Finding spectral gaps in hyperbolic rational homology spheres.
method Construction of families of hyperbolic rational homology spheres with coexact 1-form spectral gaps.
result Provided intervals containing limit points of spectral gaps, with the rightmost interval being [0.8196, 0.8277].

For large genus, spectral gaps on hyperbolic surfaces approach a limit.

problem Understanding spectral gaps on hyperbolic surfaces of large genus.
method Analyzing the maximum of λkλk1λ_k-λ_{k-1} over thick parts of moduli spaces.
result The maximum of λkλk1λ_k-λ_{k-1} approaches 14\frac{1}{4} for large genus.

New theorem improves spectral gap for sampling from mixture distributions.

problem Sampling from multimodal distributions with simulated tempering.
method Introduced a decomposition theorem for the restricted spectral gap of simulated tempering.
result Lower bound on the restricted spectral gap for mixture distributions.

The study examines hyperbolic 3-manifolds with uniform spectral gaps for coclosed 1-forms.

problem Understanding the spectral gap for coclosed 1-forms in hyperbolic 3-manifolds.
method Constructing sequences of manifolds and analyzing their spectral properties and homology growth.
result Sequences of hyperbolic manifolds can have uniform spectral gaps for coclosed 1-forms but unbounded torsion homology growth.

The study finds arbitrarily small spectral gaps for random hyperbolic surfaces with many cusps.

problem Understanding spectral gaps of random hyperbolic surfaces with many cusps.
method Analysis of moduli spaces of hyperbolic surfaces with Weil-Petersson metric.
result Arbitrarily small spectral gaps are observed as the number of cusps grows slower than the genus.

Method constrains spectral gaps of hyperbolic spin surfaces using identities and semidefinite programming.

problem Bounding Laplacian and Dirac spectra of hyperbolic spin manifolds and orbifolds.
method Infinite family of spectral identities, semidefinite programming, and Selberg trace formula.
result Upper bounds on spectral gaps nearly saturated by specific orbifolds.

Study reveals uniform spectral gaps for random hyperbolic surfaces with few cusps.

problem Investigating spectral gaps for random hyperbolic surfaces with limited cusps.
method Analyzing Weil-Petersson random hyperbolic surfaces, showing no eigenvalues in specific intervals.
result Uniform lower bounds on spectral gaps for Weil-Petersson random hyperbolic surfaces, revealing a critical phenomenon of 'second order cancellation'.

Researchers prove a spectral gap for Hecke covers of Schottky surfaces.

problem Proving a spectral gap for Hecke congruence covers of arithmetic Schottky surfaces.
method Using the generalized Riemann hypothesis for quadratic L-functions and properties of Schottky subgroups.
result Established a uniform and explicit spectral gap for Hecke congruence covers of arithmetic Schottky surfaces.

Random covers of hyperbolic surfaces have a spectral gap with polynomial rate.

problem Finding spectral gaps in random covers of hyperbolic surfaces.
method Applying recent work on spectral gaps to uniformly random covers of closed hyperbolic surfaces.
result Uniformly random degree-n covers of a closed hyperbolic surface have no new Laplacian eigenvalues below a specific threshold with high probability.

Sharp spectral gap estimates for higher-order operators on hyperbolic spaces.

problem Estimating spectral gaps for higher-order operators on Cartan-Hadamard manifolds.
method Symmetrization-free proofs based on general functional inequalities.
result Solves a sharp asymptotic problem from Cheng and Yang and answers a question from Kristály.

Study rigidity of spectral gap on Finsler manifolds with specific curvature bounds.

problem Rigidity of spectral gap on Finsler manifolds with Ricci curvature bound.
method Analysis of spectral gap, splitting phenomena, and needle decomposition.
result Rigidity results for spectral gap, logarithmic Sobolev, and Bakry-Ledoux inequalities.

Let MM be a connected, noncompact, complete Riemannian manifold, consider the operator $L=\DD +\nn V$ for some VC2(M)V\in C^2(M) with exp[V]\exp[V] integrable w.r.t. the Riemannian volume element. This paper studies the existence of the spectral gap of LL. As a consequence of the main result, let $\rr$ be the distance functi…

1998-04-14abs ↗pdf ↗

We prove the Fundamental Gap Conjecture, which states that the difference between the first two Dirichlet eigenvalues (the spectral gap) of a Schrödinger operator with convex potential and Dirichlet boundary data on a convex domain is bounded below by the spectral gap on an interval of the same diameter with zero poten…

2010-06-09abs ↗pdf ↗

A coupling method and an analytic one allow us to prove new lower bounds for the spectral gap of reversible diffusions on compact manifolds. Those bounds are based on the a notion of curvature of the diffusion, like the coarse Ricci curvature or the Bakry--Emery curvature-dimension inequalities. We show that when this …

2011-05-30abs ↗pdf ↗

The paper constructs noncompact hyperbolic surfaces with uniform spectral gaps using random graph models.

problem Building noncompact hyperbolic surfaces with uniform spectral gaps.
method Introduced a random graph model Fχ,n\mathcal{F}_{χ,n} to construct expanding families of graphs, then applied these families to create hyperbolic surfaces.
result Explicitly constructed an expanding family of graphs in the critical regime, leading to a sequence of complete, noncompact hyperbolic surfaces with uniformly positive spectral gaps.

Explicitly bounds the spectral gap for Schottky subgroups of SL(2,Z).

problem Finding uniform bounds for spectral gaps of Schottky subgroups.
method Establishes explicit lower bounds for the second eigenvalue of the Laplace-Beltrami operator.
result Uniform and explicit lower bounds for the second eigenvalue of congruence coverings.

Researchers find spectral gaps in quantum flag manifolds using twisted operators.

problem Finding spectral gaps in quantum flag manifolds.
method Tensoring Laplace and Dolbeault-Dirac operators with negative Hermitian holomorphic modules.
result Twisting Dirac and Laplace operators by negative line bundles produces a spectral gap for q close to 1.

Rewiring GNNs to optimize community and feature alignment improves their performance.

problem Improving GNNs' performance by addressing over-squashing and generalization issues.
method Three rewiring strategies: ComMa, FeaSt, and ComFy, targeting community structure, node labels, and their alignment.
result Rewiring strategies enhance GNNs' performance by optimizing label-community alignment.

The article proves a conjecture about the fundamental gap for horoconvex domains in hyperbolic space.

problem Proving a conjecture about the fundamental gap for horoconvex domains in hyperbolic space.
method Establishing conformal log-concavity estimates for the first eigenfunction.
result Proves a conjecture about the fundamental gap for horoconvex domains in hyperbolic space.

Uniform spectral gap for convex cocompact hyperbolic surfaces and expanders.

problem Spectral gap for convex cocompact hyperbolic surfaces and their covers.
method Using thermodynamic formalism for twisted Selberg zeta functions.
result Uniform resonance-free regions for convex cocompact hyperbolic surfaces and expanders.

We study the spectral gap of the Erdős--Rényi random graph through the connectivity threshold. In particular, we show that for any fixed δ>0δ> 0 if p(1/2+δ)lognn,p \ge \frac{(1/2 + δ) \log n}{n}, then the normalized graph Laplacian of an Erdős--Rényi graph has all of its nonzero eigenvalues tightly concentrated around 11. We est…

2012-01-02abs ↗pdf ↗

Graph pruning improves neural network performance by addressing squashing and smoothing issues.

problem Over-squashing and over-smoothing in Graph Neural Networks.
method Proposes edge deletions to simultaneously address over-squashing and over-smoothing, optimizing spectral gap.
result Edge deletions improve generalization and distinguishability of nodes of different classes.