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Weak Poincaré Inequalities for Markov chains:theory and applications

Title: Weak Poincaré Inequalities for Markov chains:theory and applications
Authors: Andrieu, Christophe; Lee, Anthony; Power, Sam; Wang, Andi
Source: Andrieu, C, Lee, A, Power, S & Wang, A 2026, 'Weak Poincaré Inequalities for Markov chains : theory and applications', Annals of Applied Probability, vol. 36, no. 1, pp. 46-107. https://doi.org/10.1214/25-AAP2185
Publication Year: 2026
Collection: University of Bristol: Bristol Reserach
Subject Terms: math.PR; stat.CO
Description: We investigate the application of Weak Poincaré Inequalities (WPI) to Markov chains to study their rates of convergence and to derive complexity bounds. At a theoretical level we investigate the necessity of the existence of WPIs to ensure L2-convergence, in particular by establishing equivalence with the Resolvent Uniform Positivity-Improving (RUPI) condition and pro-viding a counterexample. From a more practical perspective, we extend the celebrated Cheeger’s inequalities to the subgeometric setting, and further ap-ply these techniques to study random-walk Metropolis algorithms for heavy-tailed target distributions and to obtain lower bounds on pseudo-marginal algorithms.
Document Type: article in journal/newspaper
Language: English
Relation: info:eu-repo/semantics/altIdentifier/arxiv/http://arxiv.org/abs/2312.11689v1; info:eu-repo/semantics/altIdentifier/hdl/https://hdl.handle.net/1983/93cac33d-e8e3-4cfc-b882-3082ea129479
DOI: 10.1214/25-AAP2185
Availability: https://hdl.handle.net/1983/93cac33d-e8e3-4cfc-b882-3082ea129479; https://research-information.bris.ac.uk/en/publications/93cac33d-e8e3-4cfc-b882-3082ea129479; https://doi.org/10.1214/25-AAP2185
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.A5E62516
Database: BASE