Publication Cover
Applicable Analysis
An International Journal
Volume 102, 2023 - Issue 18
186
Views
0
CrossRef citations to date
0
Altmetric
Research Article

The backward problem of a stochastic PDE with bi-harmonic operator driven by fractional Brownian motion

&
Pages 4972-4996 | Received 10 May 2022, Accepted 22 Nov 2022, Published online: 01 Dec 2022
 

ABSTRACT

This paper is concerned with a backward problem of a stochastic partial differential equation with bi-harmonic operator. The source term is driven by fractional Brownian motion. Based on the Gevrey-type space, the regularity of the mild solution is studied. However, this problem is ill-posed since it is unstable. The instability is discussed in the sense of expectation and variance. Moreover, a regularization method is proposed. The error estimation between the regularization solution and the mild solution is given using an a prior parameter choice rule.

2010 MATHEMATICS SUBJECT CLASSIFICATIONS:

Acknowledgments

The authors would like to offer their cordial thanks to the reviewers of this paper for their valuable comments and suggestions, without these suggestions there would be no present form of this paper.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The research is supported by the Fundamental Research Funds for the Central Universities (Nos. JB210706 and QTZX22052) and the National Natural Science Foundation of China (No. 61877046).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,361.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.