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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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
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spelling doaj-2d831adb2c5c407f84afff5d6298ae742020-11-27T08:08:55ZengMDPI AGSymmetry2073-89942020-11-01121953195310.3390/sym12121953Backward Doubly Stochastic Differential Equations with Markov Chains and a Comparison TheoremNing Ma0Zhen Wu1School of Mathematics, Shandong University, Jinan 250100, ChinaSchool of Mathematics, Shandong University, Jinan 250100, ChinaIn 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 solve such problem under monotone condition. Finally, we give the comparison theorems for such equations under the above two conditions respectively.https://www.mdpi.com/2073-8994/12/12/1953backward doubly stochastic differential equationsMarkov chainscomparison theorem
collection DOAJ
language English
format Article
sources DOAJ
author Ning Ma
Zhen Wu
spellingShingle Ning Ma
Zhen Wu
Backward Doubly Stochastic Differential Equations with Markov Chains and a Comparison Theorem
Symmetry
backward doubly stochastic differential equations
Markov chains
comparison theorem
author_facet Ning Ma
Zhen Wu
author_sort Ning Ma
title Backward Doubly Stochastic Differential Equations with Markov Chains and a Comparison Theorem
title_short Backward Doubly Stochastic Differential Equations with Markov Chains and a Comparison Theorem
title_full Backward Doubly Stochastic Differential Equations with Markov Chains and a Comparison Theorem
title_fullStr Backward Doubly Stochastic Differential Equations with Markov Chains and a Comparison Theorem
title_full_unstemmed Backward Doubly Stochastic Differential Equations with Markov Chains and a Comparison Theorem
title_sort backward doubly stochastic differential equations with markov chains and a comparison theorem
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2020-11-01
description 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 solve such problem under monotone condition. Finally, we give the comparison theorems for such equations under the above two conditions respectively.
topic backward doubly stochastic differential equations
Markov chains
comparison theorem
url https://www.mdpi.com/2073-8994/12/12/1953
work_keys_str_mv AT ningma backwarddoublystochasticdifferentialequationswithmarkovchainsandacomparisontheorem
AT zhenwu backwarddoublystochasticdifferentialequationswithmarkovchainsandacomparisontheorem
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