Fractional backward stochastic differential euqations and fractional backward variational inequalities

preprint2013arXivOpen access

Abstract

In the framework of fractional stochastic calculus, we study the existence and the uniqueness of the solution for a backward stochastic differential equation, formally written as: [{[c]{l}% -dY(t)= f(t,η(t),Y(t),Z(t))dt-Z(t)δB^{H}(t), \quad t\in[0,T], Y(T)=ξ,.] where ηη is a stochastic process given by η(t)=η(0)+∫0tσ(s)δBH(s)η(t)=η(0) +\int_{0}^{t}σ(s) δB^{H}(s), t∈[0,T]t\in[0,T], and BHB^{H} is a fractional Brownian motion with Hurst parameter greater than 1/2. The stochastic integral used in above equation is the divergence-type integral. Based on Hu and Peng's paper, \textit{BDSEs driven by fBm}, SIAM J Control Optim. (2009), we develop a rigorous approach for this equation. Moreover, we study the existence of the solution for the multivalued backward stochastic differential equation [{[c]{l} -dY(t)+\partialφ(Y(t))dt\ni f(t,η(t),Y(t),Z(t))dt-Z(t)δB^{H}(t),\quad t\in[0,T], Y(T)=ξ,.] where ∂φ\partialφ is a multivalued operator of subdifferential type associated with the convex function φφ.

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