随机 Kuramoto-Sivashinsky 方程的后向问题:条件稳定性和数值解

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Zewen Wang , Weili Zhu , Bin Wu , Bin Hu
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引用次数: 0

摘要

在本文中,我们考虑了线性随机 Kuramoto-Sivashinsky 方程的时间反演问题。首先,我们为随机 Kuramoto-Sivashinsky 方程提出了两个 Carleman 估计值,其中包含与变量 x 无关的权重函数。随后,我们利用这两个卡勒曼估计值建立了后向问题在两种不同情况下的条件稳定性:0<t0<T 时和 t0=0 时。该函数通过共轭梯度算法求解,该算法基于为正则化函数量身定制的梯度公式。与恢复连续和不连续初始值有关的数值示例说明了共轭梯度算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A backward problem for stochastic Kuramoto-Sivashinsky equation: Conditional stability and numerical solution
In this paper, we consider a backward problem in time for a linear stochastic Kuramoto-Sivashinsky equation. Firstly, we present two Carleman estimates incorporating weight functions independent of the variable x for the stochastic Kuramoto-Sivashinsky equation. Subsequently, we employ these two Carleman estimates to establish conditional stability for the backward problem in two distinct scenarios: when 0<t0<T and when t0=0. Lastly, we transform the backward problem in time into the minimization of a regularized Tikhonov functional. This functional is solved by the conjugate gradient algorithm based on the gradient formula tailored for the regularized functional. Numerical examples related to the recovery of continuous and discontinuous initial values illustrate the effectiveness of the conjugate gradient algorithm.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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