Some Results on Backward Stochastic Differential Equations of Fractional Order

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Springer Basel Ag

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info:eu-repo/semantics/openAccess

Abstract

In this article, we deal with fractional stochastic differential equations, so-called Caputo type fractional backward stochastic differential equations (Caputo fBSDEs, for short), and study the well-posedness of an adapted solution to Caputo fBSDEs of order alpha is an element of (1/2, 1) whose coefficients satisfy a Lipschitz condition. A novelty of the article is that we introduce a new weighted norm in the square integrable measurable function space that is useful for proving a fundamental lemma and its well-posedness. For this class of systems, we then show the coincidence between the notion of stochastic Volterra integral equation and the mild solution.

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Fractional backward stochastic differential equations, Backward stochastic nonlinear Volterra integral equation, Well-posedness, Adapted process, Weighted norm

Journal or Series

Qualitative Theory of Dynamical Systems

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Volume

21

Issue

4

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