Quantitative approximation of stochastic kinetic equations: from discrete to continuum

Fuente: arXiv
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Autores principales: Hao, Zimo, Lê, Khoa, Ling, Chengcheng
Formato: Preprint
Publicado: 2024
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author Hao, Zimo
Lê, Khoa
Ling, Chengcheng
author_facet Hao, Zimo
Lê, Khoa
Ling, Chengcheng
contents We study the convergence of a generic tamed Euler-Maruyama (EM) scheme for the kinetic type stochastic differential equations (SDEs) (also known as second order SDEs) with singular coefficients in both weak and strong probabilistic senses. We show that when the drift exhibits a relatively low regularity compared to the state of the art, the singular system is well-defined both in the weak and strong probabilistic senses. Meanwhile, the corresponding tamed EM scheme is shown to converge at the rate of 1/2 in both the weak and the strong senses.
format Preprint
id arxiv_https___arxiv_org_abs_2409_05706
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantitative approximation of stochastic kinetic equations: from discrete to continuum
Hao, Zimo
Lê, Khoa
Ling, Chengcheng
Probability
Numerical Analysis
Analysis of PDEs
Primary 60H35, 65C30, 60H10, Secondary 60H50, 60L90, 35K65, 35R05, 35B65
We study the convergence of a generic tamed Euler-Maruyama (EM) scheme for the kinetic type stochastic differential equations (SDEs) (also known as second order SDEs) with singular coefficients in both weak and strong probabilistic senses. We show that when the drift exhibits a relatively low regularity compared to the state of the art, the singular system is well-defined both in the weak and strong probabilistic senses. Meanwhile, the corresponding tamed EM scheme is shown to converge at the rate of 1/2 in both the weak and the strong senses.
title Quantitative approximation of stochastic kinetic equations: from discrete to continuum
topic Probability
Numerical Analysis
Analysis of PDEs
Primary 60H35, 65C30, 60H10, Secondary 60H50, 60L90, 35K65, 35R05, 35B65
url https://arxiv.org/abs/2409.05706