Backward stochastic Volterra integral equations—Representation of adapted solutions
نویسندگان
چکیده
منابع مشابه
Mean-Field Backward Stochastic Volterra Integral Equations
Mean-field backward stochastic Volterra integral equations (MF-BSVIEs, for short) are introduced and studied. Well-posedness of MF-BSVIEs in the sense of introduced adapted Msolutions is established. Two duality principles between linear mean-field (forward) stochastic Volterra integral equations (MF-FSVIEs, for short) and MF-BSVIEs are obtained. Several comparison theorems for MF-FSVIEs and MF...
متن کاملExistence and Uniqueness of M-solutions for Backward Stochastic Volterra Integral Equations
In this article, we study general backward stochastic Volterra integral equations (BSVIEs). Combining the contractive-mapping principle, stepby-step iteration method and mathematical induction, we establish the existence and uniqueness theorem of M-solution for the BSVIEs. This theorem could be applied directly to many models, for example, using the result to a kind of financial models provides...
متن کاملFinding Adapted Solutions of Forward - Backward
The notion of bridge is introduced for systems of coupled forward-backward stochastic diierential equations (FBSDEs, for short). This notion helps us to unify the method of continuation in nding adapted solutions to such FBSDEs over any nite time durations. It is proved that if two FBSDEs are linked by a bridge, then they have the same unique solvability. Consequently, by constructing appropria...
متن کاملOptimal Control Problems of Forward-Backward Stochastic Volterra Integral Equations with Closed Control Regions
Abstract. Optimal control problems of forward-backward stochastic Volterra integral equations (FBSVIEs, in short) with closed control regions are formulated and studied. Instead of using spike variation method as one may imagine, here we turn to treat the non-convexity of the control regions by borrowing some tools in set-valued analysis and adapting them into our stochastic control systems. A ...
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ژورنال
عنوان ژورنال: Stochastic Processes and their Applications
سال: 2019
ISSN: 0304-4149
DOI: 10.1016/j.spa.2018.12.016