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Main Authors: Mertz, Laurent, Nersesyan, Vahagn, Rissel, Manuel
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.16058
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author Mertz, Laurent
Nersesyan, Vahagn
Rissel, Manuel
author_facet Mertz, Laurent
Nersesyan, Vahagn
Rissel, Manuel
contents We provide deterministic controllability conditions that imply exponential mixing properties for randomly forced constrained dynamical systems with possibly unbounded state space. As an application, new ergodicity results are obtained for non-smooth models in elasto-plasticity driven by various types of noise, including white noise. It is thereby illustrated how tools from control theory can be utilized to tackle regularity issues that commonly arise in the qualitative study of constrained systems.
format Preprint
id arxiv_https___arxiv_org_abs_2403_16058
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exponential mixing of constrained random dynamical systems via controllability conditions
Mertz, Laurent
Nersesyan, Vahagn
Rissel, Manuel
Optimization and Control
Dynamical Systems
Probability
37A25, 37A30, 49J52, 60H10, 74C05, 93B05
We provide deterministic controllability conditions that imply exponential mixing properties for randomly forced constrained dynamical systems with possibly unbounded state space. As an application, new ergodicity results are obtained for non-smooth models in elasto-plasticity driven by various types of noise, including white noise. It is thereby illustrated how tools from control theory can be utilized to tackle regularity issues that commonly arise in the qualitative study of constrained systems.
title Exponential mixing of constrained random dynamical systems via controllability conditions
topic Optimization and Control
Dynamical Systems
Probability
37A25, 37A30, 49J52, 60H10, 74C05, 93B05
url https://arxiv.org/abs/2403.16058