Distribution dependent SDEs driven by fractional Brownian motions
Xiliang Fan,
Xing Huang,
Yongqiang Suo and
Chenggui Yuan
Stochastic Processes and their Applications, 2022, vol. 151, issue C, 23-67
Abstract:
In this paper we study a class of distribution dependent stochastic differential equations driven by fractional Brownian motions with Hurst parameter H∈(0,1/2)∪(1/2,1). We prove the well-posedness of this type equations, and then establish a general result on the Bismut formula for the Lions derivative by using Malliavin calculus. As applications, we provide the Bismut formulas of this kind for both non-degenerate and degenerate cases, and obtain the estimates of the Lions derivative and the total variation distance between the laws of two solutions.
Keywords: Distribution dependent SDE; Fractional Brownian motion; Bismut type formula; Lions derivative; Wasserstein distance (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:151:y:2022:i:c:p:23-67
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DOI: 10.1016/j.spa.2022.05.007
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