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On distribution dependent stochastic differential equations driven by $G$-Brownian motion

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arxiv 2302.12539 v1 pith:EQHJTRVW submitted 2023-02-24 math.PR

classification math.PR
keywords dependentdistributionsdesdifferentialequationssolutionsstochasticunder
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abstract

Distribution dependent stochastic differential equations have been a very hot subject with extensive studies. On the other hand, under the $G$-expectation framework, stochastic differential equations driven by $G$-Brownian motion (in short form, $G$-SDEs) have received increasing attentions, and the existence and uniqueness of solutions to $G$-SDEs under Lipschitz and non-Lipschitz conditions have been obtained. Based on these studies, it is very natural and also important to investigate the $G$-SDEs which are also distribution dependent. In this paper, we are concerned with the well-posedness of the distribution dependent $G$-SDEs. To this end, we first introduce a proper distance of the involved distribution functions and propose a new formulation of the distribution dependent $G$-SDEs. Then, by utilising fix point argument, we establish existence and uniqueness of the solutions of distributed dependent $G$-SDEs under Lipschitz condition. Finally, we derive certain estimates for the solutions of the distribution dependent $G$-SDEs.

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  1. Regularity of Solutions of Mean-Field $G$-SDEs

    math.PR 2025-08 conditional novelty 6.0 of 10

    Under smoothness conditions on the coefficients, the solution map of a mean-field G-SDE is Fréchet differentiable up to second order, with derivatives characterized as solutions of new G-SDEs.

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