Rapid convergence of tempering chains to multimodal Gibbs measures

Fuente: arXiv
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Autore principale: Son, Seungjae
Natura: Preprint
Pubblicazione: 2026
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author Son, Seungjae
author_facet Son, Seungjae
contents We study the spectral gaps of parallel and simulated tempering chains targeting multimodal Gibbs measures. In particular, we consider chains constructed from Metropolis random walks that preserve the Gibbs distributions at a sequence of harmonically spaced temperatures. We prove that their spectral gaps admit polynomial lower bounds of order $11$ and $12$ in terms of the low target temperature. The analysis applies to a broad class of potentials, beyond mixture models, without requiring explicit structural information on the energy landscape. The main idea is to decompose the state space and construct a Lyapunov function based on a suitably perturbed potential, which allows us to establish lower bounds on the local spectral gaps.
format Preprint
id arxiv_https___arxiv_org_abs_2604_04823
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Rapid convergence of tempering chains to multimodal Gibbs measures
Son, Seungjae
Probability
Statistics Theory
60J22, 65C05, 65C40, 60J05, 60K35
We study the spectral gaps of parallel and simulated tempering chains targeting multimodal Gibbs measures. In particular, we consider chains constructed from Metropolis random walks that preserve the Gibbs distributions at a sequence of harmonically spaced temperatures. We prove that their spectral gaps admit polynomial lower bounds of order $11$ and $12$ in terms of the low target temperature. The analysis applies to a broad class of potentials, beyond mixture models, without requiring explicit structural information on the energy landscape. The main idea is to decompose the state space and construct a Lyapunov function based on a suitably perturbed potential, which allows us to establish lower bounds on the local spectral gaps.
title Rapid convergence of tempering chains to multimodal Gibbs measures
topic Probability
Statistics Theory
60J22, 65C05, 65C40, 60J05, 60K35
url https://arxiv.org/abs/2604.04823