2021
DOI: 10.3934/mcrf.2020043
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Extended backward stochastic Volterra integral equations and their applications to time-Inconsistent stochastic recursive control problems

Abstract: In this paper, we study extended backward stochastic Volterra integral equations (EBSVIEs, for short). We establish the well-posedness under weaker assumptions than the literature, and prove a new kind of regularity property for the solutions. As an application, we investigate, in the open-loop framework, a time-inconsistent stochastic recursive control problem where the cost functional is defined by the solution to a backward stochastic Volterra integral equation (BSVIE, for short). We show that the correspon… Show more

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Cited by 27 publications
(31 citation statements)
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“…For this, the definition of the space (H , • H ), notably the space H 2,2 (R n×d ), and (v) Let us remark that Assumption 4.1. (i), being an assumption on the data of the BSVIE, is easier to verify in practice compare to the regularity required in [27]. Certainly, our results would still hold true if we require the differentiability of data (ξ, f ) with respect to the parameter s in the L 2 (resp.…”
Section: Well-posedness Of Type-i Bsviesmentioning
confidence: 69%
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“…For this, the definition of the space (H , • H ), notably the space H 2,2 (R n×d ), and (v) Let us remark that Assumption 4.1. (i), being an assumption on the data of the BSVIE, is easier to verify in practice compare to the regularity required in [27]. Certainly, our results would still hold true if we require the differentiability of data (ξ, f ) with respect to the parameter s in the L 2 (resp.…”
Section: Well-posedness Of Type-i Bsviesmentioning
confidence: 69%
“…Likewise, Hamaguchi [26,27] studied a time-inconsistent control problem where the cost functional is defined by the Y component of the solution of a type-I BSVIE (1.3), in which g depends on a control. Via Pontryagin's optimal principle, the author noticed that the adjoint equations correspond to an extended type-I BSVIE, as first introduced in Wang [53] in the context of generalising the celebrated Feynman-Kac formula.…”
Section: Introductionmentioning
confidence: 99%
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