Fokker-Planck equations for McKean-Vlasov SDEs driven by fractional Brownian motion

Saloua Labed, Nacira Agram, Bernt Oksendal
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Abstract

In this paper, we study the probability distribution of solutions of McKean-Vlasov stochastic differential equations (SDEs) driven by fractional Brownian motion. We prove the associated Fokker-Planck equation, which governs the evolution of the probability distribution of the solution. For the case where the distribution is absolutely continuous, we present a more explicit form of this equation. To illustrate the result we use it to solve specific examples, including the law of fractional Brownian motion and the geometric McKean-Vlasov SDE, demonstrating the complex dynamics arising from the interplay between fractional noise and mean-field interactions.
分数布朗运动驱动的麦金-弗拉索夫 SDE 的福克-普朗克方程
本文研究了由分数布朗运动驱动的麦克金-弗拉索夫随机微分方程(SDE)解的概率分布。我们证明了相关的福克-普朗克方程,该方程控制着解的概率分布的演化。对于分布绝对连续的情况,我们提出了该方程更明确的形式。为了说明这一结果,我们用它来求解具体的例子,包括分数布朗运动定律和几何麦克金-弗拉索夫 SDE,展示了分数噪声和均场相互作用之间相互作用所产生的复杂动力学。
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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