Stochastic Euler Schemes and Dissipative Evolutions in the Space of Probability Measures

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Main Authors: Cavagnari, Giulia, Savaré, Giuseppe, Sodini, Giacomo Enrico
Format: Preprint
Published: 2025
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author Cavagnari, Giulia
Savaré, Giuseppe
Sodini, Giacomo Enrico
author_facet Cavagnari, Giulia
Savaré, Giuseppe
Sodini, Giacomo Enrico
contents We study the convergence of stochastic time-discretization schemes for evolution equations driven by random velocity fields, including examples like stochastic gradient descent and interacting particle systems. Using a unified framework based on Multivalued Probability Vector Fields, we analyze these dynamics at the level of probability measures in the Wasserstein space. Under suitable dissipativity and boundedness conditions, we prove that the laws of the interpolated trajectories converge to those of a limiting evolution governed by a maximal dissipative extension of the associated barycentric field. This provides a general measure-theoretic study for the convergence of stochastic schemes in continuous time.
format Preprint
id arxiv_https___arxiv_org_abs_2505_20801
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Stochastic Euler Schemes and Dissipative Evolutions in the Space of Probability Measures
Cavagnari, Giulia
Savaré, Giuseppe
Sodini, Giacomo Enrico
Functional Analysis
Probability
Primary: 34A06, 47B44, 49Q22, Secondary: 34A12, 34A60
We study the convergence of stochastic time-discretization schemes for evolution equations driven by random velocity fields, including examples like stochastic gradient descent and interacting particle systems. Using a unified framework based on Multivalued Probability Vector Fields, we analyze these dynamics at the level of probability measures in the Wasserstein space. Under suitable dissipativity and boundedness conditions, we prove that the laws of the interpolated trajectories converge to those of a limiting evolution governed by a maximal dissipative extension of the associated barycentric field. This provides a general measure-theoretic study for the convergence of stochastic schemes in continuous time.
title Stochastic Euler Schemes and Dissipative Evolutions in the Space of Probability Measures
topic Functional Analysis
Probability
Primary: 34A06, 47B44, 49Q22, Secondary: 34A12, 34A60
url https://arxiv.org/abs/2505.20801