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Distribution dependent SDEs driven by additive continuous noise

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We study distribution dependent stochastic differential equation driven by a continuous process, without any specification on its law, following the approach initiated in [16]. We provide several criteria for existence… Click to show full abstract

We study distribution dependent stochastic differential equation driven by a continuous process, without any specification on its law, following the approach initiated in [16]. We provide several criteria for existence and uniqueness of solutions which go beyond the classical globally Lipschitz setting. In particular we show well-posedness of the equation, as well as almost sure convergence of the associated particle system, for drifts satisfying either Osgood-continuity, monotonicity, local Lipschitz or Sobolev differentiability type assumptions.

Keywords: sdes driven; driven additive; dependent sdes; distribution; additive continuous; distribution dependent

Journal Title: Electronic Journal of Probability
Year Published: 2022

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