SPECTRAL GAP AND CURVATURE OF MONOTONE MARKOV CHAINS
成果类型:
Article
署名作者:
Salez, Justin
署名单位:
Universite PSL; Universite Paris-Dauphine
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/24-AOP1688
发表日期:
2024
页码:
1153-1161
关键词:
mixing times
inequalities
walk
摘要:
We prove that the absolute spectral gap of any monotone Markov chain coincides with its optimal Ollivier-Ricci curvature, where the word optimal refers to the choice of the underlying metric. Moreover, we provide a new expression in terms of local variations of increasing functions, which has several practical advantages over the traditional variational formulation using the Dirichlet form. As an illustration, we explicitly determine the optimal curvature and spectral gap of the nonconservative exclusion process with heterogeneous reservoir densities on any network, despite the lack of reversibility.