On the stability of mean-field stochastic differential equations with irregular expectation functional

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY
Oussama Elbarrimi
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引用次数: 0

Abstract

In this paper, we consider multidimensional mean-field stochastic differential equations where the coefficients depend on the law in the form of a Lebesgue integral with respect to the measure of the solution. Under the pathwise uniqueness property, we establish various strong stability results. As a consequence, we give an application for optimal control of diffusions. Namely, we propose a result on the approximation of the solution associated to a relaxed control.
具有不规则期望泛函的平均场随机微分方程的稳定性
在本文中,我们考虑了多维平均场随机微分方程,其中系数依赖于关于解的测度的勒贝格积分形式的律。在路径唯一性下,我们建立了各种强稳定性结果。因此,我们给出了扩散最优控制的一个应用。也就是说,我们提出了与松弛控制相关的解的近似结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Stochastics and Dynamics
Stochastics and Dynamics 数学-统计学与概率论
CiteScore
1.70
自引率
0.00%
发文量
49
审稿时长
>12 weeks
期刊介绍: This interdisciplinary journal is devoted to publishing high quality papers in modeling, analyzing, quantifying and predicting stochastic phenomena in science and engineering from a dynamical system''s point of view. Papers can be about theory, experiments, algorithms, numerical simulation and applications. Papers studying the dynamics of stochastic phenomena by means of random or stochastic ordinary, partial or functional differential equations or random mappings are particularly welcome, and so are studies of stochasticity in deterministic systems.
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