数学
随机积分
积分方程
随机微积分
量子随机演算
数学分析
拉普拉斯变换
应用数学
随机微分方程
随机偏微分方程
物理
偏微分方程
量子过程
量子力学
量子动力学
量子
作者
Xiaomin Huang,Yanpei Jiang,Wei Liu
出处
期刊:Communications on Pure and Applied Analysis
[American Institute of Mathematical Sciences]
日期:2022-01-01
卷期号:21 (9): 3089-3089
摘要
<p style='text-indent:20px;'>The main aim of this work is to investigate the large deviation principle for a class of stochastic integral evolution equations. As applications, our results can be applied to a large class of stochastic models with hereditary or memory effects such as stochastic integral porous medium equations, stochastic integral <inline-formula><tex-math id="M1">\begin{document}$ p $\end{document}</tex-math></inline-formula>-Laplace equations and stochastic integral 2D Navier-Stokes equations.</p>
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