Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109209
PIRA download icon_1.1View/Download Full Text
Title: Strong convergence rate of an exponentially integrable scheme for stochastic nonlinear wave equation
Authors: Cui, J 
Hong, J 
Ji, L 
Sun, L 
Issue Date: Sep-2024
Source: Communications on analysis and computation, Sept 2024, v. 2, no. 3, p. 215-245
Abstract: In this paper, we present an exponentially integrable numerical method for stochastic wave equation with cubic nonlinearity and additive space-time noise. We first apply the spectral Galerkin method to discretize the original equation and show that this spatial discretization possesses an energy evolution law and certain exponential integrability property. Then the exponential integrability property of the exact solution is deduced by proving the strong convergence of the semi-discretization. To propose a fully discrete numerical method which could inherit both the energy evolution law and the exponential integrability, we use the splitting technique and averaged vector field method in the temporal direction. Combining these structure-preserving properties with regularity estimates of the exact and the numerical solutions, we obtain the strong convergence rate of the proposed scheme. Finally, numerical experiments verify the theoretical results.
Keywords: Cubic nonlinearity
Energy evolution law
Exponential integrability property
Spectral Galerkin method
Stochastic wave equation
Strong convergence
Publisher: AIMS Press
Journal: Communications on analysis and computation 
EISSN: 2837-0562
DOI: 10.3934/cac.2024011
Rights: Open Access: Under a Creative Commons license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
The following publication Jianbo Cui, Jialin Hong, Lihai Ji, Liying Sun. Strong convergence rate of an exponentially integrable scheme for stochastic nonlinear wave equation. Communications on Analysis and Computation, 2024, 2(3): 215-245 is available at https://doi.org/10.3934/cac.2024011.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
10.3934_cac.2024011.pdf4.59 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

15
Citations as of Oct 13, 2024

Downloads

5
Citations as of Oct 13, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.