Path-by-path uniqueness for stochastic differential equations under Krylov-Röckner condition

Fuente: arXiv
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Auteurs principaux: Anzeletti, Lukas, Lê, Khoa, Ling, Chengcheng
Format: Preprint
Publié: 2023
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author Anzeletti, Lukas
Lê, Khoa
Ling, Chengcheng
author_facet Anzeletti, Lukas
Lê, Khoa
Ling, Chengcheng
contents We show that any stochastic differential equation (SDE) driven by Brownian motion with drift satisfying the Krylov-Röckner condition has exactly one solution in an ordinary sense for almost every trajectory of the Brownian motion. Consequentially, such SDE is strongly complete and forms a random dynamical system. Also, a further application to a boundary value problem is discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2304_06802
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Path-by-path uniqueness for stochastic differential equations under Krylov-Röckner condition
Anzeletti, Lukas
Lê, Khoa
Ling, Chengcheng
Probability
Classical Analysis and ODEs
60H10, 60H50, 60J60
We show that any stochastic differential equation (SDE) driven by Brownian motion with drift satisfying the Krylov-Röckner condition has exactly one solution in an ordinary sense for almost every trajectory of the Brownian motion. Consequentially, such SDE is strongly complete and forms a random dynamical system. Also, a further application to a boundary value problem is discussed.
title Path-by-path uniqueness for stochastic differential equations under Krylov-Röckner condition
topic Probability
Classical Analysis and ODEs
60H10, 60H50, 60J60
url https://arxiv.org/abs/2304.06802