Space-distribution PDEs for path independent additive functionals of McKean-Vlasov SDEs

Panpan Ren, Feng-Yu Wang*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

16 Citations (Scopus)

Abstract

Let P(ℝd) be the space of probability measures on ℝd with finite second moment. The path independence of additive functionals of McKean-Vlasov SDEs is characterized by PDEs on the product space ℝd × P(ℝd) equipped with the usual derivative in space variable and Lions' derivative in distribution. These PDEs are solved by using probabilistic arguments developed from Ref. 2. As a consequence, the path independence of Girsanov transformations is identified with nonlinear PDEs on ℝd × P(ℝd) whose solutions are given by probabilistic arguments as well. In particular, the corresponding results on the Girsanov transformation killing the drift term derived earlier for the classical SDEs are recovered as special situations.
Original languageEnglish
Article number2050018
JournalInfinite Dimensional Analysis, Quantum Probability and Related Topics
Volume23
Issue number3
DOIs
Publication statusPublished - Sept 2020
Externally publishedYes

Research Keywords

  • additive functional
  • Girsanov transformation
  • L-derivative
  • McKean-Vlasov SDEs

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