2021
DOI: 10.1007/s00028-020-00665-z
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Image-dependent conditional McKean–Vlasov SDEs for measure-valued diffusion processes

Abstract: We consider a special class of mean field SDEs with common noise which depend on the image of the solution (i.e. the conditional distribution given noise). The strong well-posedness is derived under a monotone condition which is weaker than those used in the literature of mean field games, the Feynman-Kac formula is established to solve Schrördinegr type PDEs on P 2 , and the ergodicity is proved for a class of measurevalued diffusion processes.

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Cited by 17 publications
(15 citation statements)
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“…Let us compare (2.10) with the corresponding formula presented in [3] for M=double-struckRd,ρfalse(x,yfalse)=false|xyfalse| and p=2. In this case, formula (2.10) is established for the probability space being Polish and fCL,1false(P2(double-struckRd)false) with bounded DLf, see also [6, Proposition A.2] and [14, Lemma 2.3] for this formula with more general functions f on scriptP2false(Rdfalse). Theorem 2.2 establishes (2.10) to Mp on Riemannian manifolds and p0.…”
Section: Resultsmentioning
confidence: 94%
See 1 more Smart Citation
“…Let us compare (2.10) with the corresponding formula presented in [3] for M=double-struckRd,ρfalse(x,yfalse)=false|xyfalse| and p=2. In this case, formula (2.10) is established for the probability space being Polish and fCL,1false(P2(double-struckRd)false) with bounded DLf, see also [6, Proposition A.2] and [14, Lemma 2.3] for this formula with more general functions f on scriptP2false(Rdfalse). Theorem 2.2 establishes (2.10) to Mp on Riemannian manifolds and p0.…”
Section: Resultsmentioning
confidence: 94%
“…To develop analysis on the space of measures, some derivatives in measure have been introduced by different means, where the intrinsic and extrinsic derivatives defined in [1, 8] have been used to investigate measure‐valued diffusion processes over Riemannian manifolds (see [7, 10, 11, 13, 14] and references therein), and the L‐ and linear functional derivatives were investigated in [3, 4] on the Wasserstein space scriptP2false(Rdfalse) (the set of all probability measures on Rd with finite second‐order moments). See [2] and references therein for calculus and optimal transport on the space of probability measures, and see [9, 12] for the Bismut formula and estimates on the L‐derivative of distribution dependent SDEs.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, for a spatially correlated noise with such kernel, we denote it as ( Qβ ) 1 2 −Wiener process. Q−Wiener process can be naturally seen as a infinite dimensional counterpart of Bownian motion in K. On the other hand, it is known (see [vRS09], [AvR10], [Wan21]) that the solution of (1.1) or its regularised form can be seen as a Wasserstein diffusion. To introduce the motivation of the particle model in section 3 , we start from the viewpoint of Q−Wiener process on Wasserstein space.…”
Section: We Denotementioning
confidence: 99%
“…Remark 2.5 Comparing this to [14], as well to [15], we do not suppose the Lipschitz continuity with respect to µ; accordingly, we have no uniqueness of solutions of (2.6).…”
Section: Ordinary Differential Equations On P (M)mentioning
confidence: 99%