Stability and regularization for ill-posed Cauchy problem of a stochastic parabolic differential equation

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Dou, Fangfang, Lü, Peimin, Wang, Yu
Natura: Preprint
Pubblicazione: 2023
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914789622546432
author Dou, Fangfang
Lü, Peimin
Wang, Yu
author_facet Dou, Fangfang
Lü, Peimin
Wang, Yu
contents In this paper, we investigate an ill-posed Cauchy problem involving a stochastic parabolic equation. We first establish a Carleman estimate for this equation. Leveraging this estimate, we derive the conditional stability and convergence rate of the Tikhonov regularization method for the aforementioned ill-posed Cauchy problem. To complement our theoretical analysis, we employ kernel-based learning theory to implement the completed Tikhonov regularization method for several numerical examples.
format Preprint
id arxiv_https___arxiv_org_abs_2308_15741
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Stability and regularization for ill-posed Cauchy problem of a stochastic parabolic differential equation
Dou, Fangfang
Lü, Peimin
Wang, Yu
Numerical Analysis
35R30, 65N21, 60H15
In this paper, we investigate an ill-posed Cauchy problem involving a stochastic parabolic equation. We first establish a Carleman estimate for this equation. Leveraging this estimate, we derive the conditional stability and convergence rate of the Tikhonov regularization method for the aforementioned ill-posed Cauchy problem. To complement our theoretical analysis, we employ kernel-based learning theory to implement the completed Tikhonov regularization method for several numerical examples.
title Stability and regularization for ill-posed Cauchy problem of a stochastic parabolic differential equation
topic Numerical Analysis
35R30, 65N21, 60H15
url https://arxiv.org/abs/2308.15741