English

Image Dependent Conditional McKean-Vlasov SDEs for Measure-Valued Diffusion Processes

Probability 2020-10-20 v4

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 Schr\"ordinegr type PDEs on \scrP2\scr P_2, and the ergodicity is proved for a class of measure-valued diffusion processes.

Keywords

Cite

@article{arxiv.1903.02148,
  title  = {Image Dependent Conditional McKean-Vlasov SDEs for Measure-Valued Diffusion Processes},
  author = {Feng-Yu Wang},
  journal= {arXiv preprint arXiv:1903.02148},
  year   = {2020}
}

Comments

36 pages

R2 v1 2026-06-23T07:59:21.829Z