Forward-Backward System for Fuzzy Doubly Stochastic Differential Equations

Our main goal in this work is to study a general class of forward-backward fuzzy double stochastic differential equations systems ( in short FBFDSDEs ) in a precise manner, not relaying the equations on the solution process only, but rather on their law. By verifying the existence and uniqueness of the solution to the forward equation of the general system FBFDSDEs as well as the backward equation under Lipschitz conditions, we prove the existence of the maximum solution of the general system FBFDSDEs under monotonic continuity conditions.

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Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2024-12-18
DOI
https://doi.org/10.52783/anvi.v28.3117
Primary Topic
Neural Networks and Applications
Type
article
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article

Forward-Backward System for Fuzzy Doubly Stochastic Differential Equations

Falah Hassan Sarhan
Advances in Nonlinear Variational Inequalities
Neural Networks and Applications
article

Forward-Backward System for Fuzzy Doubly Stochastic Differential Equations

Falah Hassan Sarhan
article en

Abstract

Our main goal in this work is to study a general class of forward-backward fuzzy double stochastic differential equations systems ( in short FBFDSDEs ) in a precise manner, not relaying the equations on the solution process only, but rather on their law. By verifying the existence and uniqueness of the solution to the forward equation of the general system FBFDSDEs as well as the backward equation under Lipschitz conditions, we prove the existence of the maximum solution of the general system FBFDSDEs under monotonic continuity conditions.

Advances in Nonlinear Variational InequalitiesVol. 28(3s)
University of Kufa (IQ)
Openalex Percentile: Top 76%
Neural Networks and Applications
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