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Main Author: Chen, Suei-Wen
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.17301
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author Chen, Suei-Wen
author_facet Chen, Suei-Wen
contents This paper presents a method to establish functional inequalities via fuzzy decomposition on the state space, which generalizes earlier results dealing with exact partitions of the state space. Given a reversible Markov chain on a finite state space, we define its projection chain and restriction chains from classes of a fuzzy partition on the state space. The Poincaré, log-Sobolev and modified log-Sobolev inequalities associated with the original chain can be estimated from those of its projection chain and restriction chains which tend to have simpler structures and hence easier to work with. An application of this generalization is presented in which the fuzzy decomposition method applies but its exact partitioning counterpart does not.
format Preprint
id arxiv_https___arxiv_org_abs_2410_17301
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Fuzzy Decomposition Method to Establish Functional Inequalities
Chen, Suei-Wen
Probability
This paper presents a method to establish functional inequalities via fuzzy decomposition on the state space, which generalizes earlier results dealing with exact partitions of the state space. Given a reversible Markov chain on a finite state space, we define its projection chain and restriction chains from classes of a fuzzy partition on the state space. The Poincaré, log-Sobolev and modified log-Sobolev inequalities associated with the original chain can be estimated from those of its projection chain and restriction chains which tend to have simpler structures and hence easier to work with. An application of this generalization is presented in which the fuzzy decomposition method applies but its exact partitioning counterpart does not.
title A Fuzzy Decomposition Method to Establish Functional Inequalities
topic Probability
url https://arxiv.org/abs/2410.17301