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Backward Stochastic Differential Equations with No Driving Martingale, Markov Processes and Associated Pseudo-Partial Differential Equations: Part II—Decoupled Mild Solutions and Examples

  • Laboratoire de Mathématiques et Modélisation
  • Université d'Evry Val d'Essonne

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Let (Ps,x)(s,x)∈[0,T]×E be a family of probability measures, where E is a Polish space, defined on the canonical probability space D([0 , T] , E) of E-valued càdlàg functions. We suppose that a martingale problem with respect to a time-inhomogeneous generator a is well-posed. We consider also an associated semilinear Pseudo-PDE for which we introduce a notion of so-called decoupled mild solution and study the equivalence with the notion of martingale solution introduced in a companion paper. We also investigate well-posedness for decoupled mild solutions and their relations with a special class of backward stochastic differential equations (BSDEs) without driving martingale. The notion of decoupled mild solution is a good candidate to replace the notion of viscosity solution which is not always suitable when the map a is not a PDE operator.

Original languageEnglish
Pages (from-to)1110-1148
Number of pages39
JournalJournal of Theoretical Probability
Volume34
Issue number3
DOIs
Publication statusPublished - 1 Sept 2021

Keywords

  • Backward stochastic differential equation
  • Decoupled mild solution
  • Markov process
  • Martingale problem
  • Pseudo-PDE

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