EconPapers    
Economics at your fingertips  
 

Newton's method for stochastic semilinear wave equations driven by multiplicative time‐space noise

Henryk Leszczyński and Monika Wrzosek

Mathematische Nachrichten, 2023, vol. 296, issue 2, 689-700

Abstract: Semilinear wave equations with additive or one‐dimensional noise are treatable by various iterative and numerical methods. We study more difficult models of semilinear wave equations with infinite dimensional multiplicative spatially correlated noise. Our proof of probabilistic second‐order convergence of some iterative methods is based on Da Prato and Zabczyk's maximal inequalities.

Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/mana.202000467

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:mathna:v:296:y:2023:i:2:p:689-700

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0025-584X

Access Statistics for this article

Mathematische Nachrichten is currently edited by Robert Denk

More articles in Mathematische Nachrichten from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:mathna:v:296:y:2023:i:2:p:689-700