Backward Doubly Stochastic Differential Equations with Markov Chains and a Comparison Theorem

In this paper we study the existence and uniqueness of solutions for one kind of backward doubly stochastic differential equations (BDSDEs) with Markov chains. By generalizing the Itô’s formula, we study such problem under the Lipschitz condition. Moreover, thanks to the Yosida approximation, we sol...

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Bibliographic Details
Main Authors: Ning Ma, Zhen Wu
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/12/1953