Fully Coupled Forward-backward Stochastic Differential Equations on Markov Chains
Shaolin Ji, Haodong Liu, Xinling Xiao

TL;DR
This paper introduces a new class of stochastic differential equations on Markov Chain spaces, establishing their existence and uniqueness, which advances the mathematical understanding of stochastic processes in discrete state spaces.
Contribution
It defines fully coupled forward-backward stochastic differential equations on Markov Chains and proves their existence and uniqueness, a novel extension in stochastic analysis.
Findings
Existence of solutions established
Uniqueness of solutions proven
Framework for future stochastic process analysis on Markov Chains
Abstract
We define fully coupled forward-backward stochastic differential equations on spaces related to continuous time, finite state Markov Chains. Existence and uniqueness results of the fully coupled forward-backward stochastic differential equations on Markov Chains are obtained.
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Taxonomy
TopicsStochastic processes and financial applications · advanced mathematical theories · Mathematical Biology Tumor Growth
