Nonlinear Fractional Backward Doubly Stochastic Differential Equations with Hurst Parameter in (1/2,1)
Shuai Jing

TL;DR
This paper develops a new mathematical framework linking nonlinear backward doubly stochastic differential equations driven by both standard and fractional Brownian motions to classical equations, using advanced stochastic calculus and transformations.
Contribution
It introduces a novel Itô formula for mixed stochastic integrals and applies the Doss-Sussman transformation to connect complex equations involving fractional Brownian motion to standard stochastic differential equations.
Findings
Established a special Itô formula for mixed stochastic integrals.
Linked backward doubly stochastic differential equations with fractional Brownian motion to classical equations.
Extended the approach to nonlinear stochastic partial differential equations driven by fractional Brownian motions.
Abstract
We first state a special type of It\^o formula involving stochastic integrals of both standard and fractional Brownian motions. Then we use Doss-Sussman transformation to establish the link between backward doubly stochastic differential equations, driven by both standard and fractional Brownian motions, and backward stochastic differential equations, driven only by standard Brownian motions. Following the same technique, we further study associated nonlinear stochastic partial differential equations driven by fractional Brownian motions and partial differential equations with stochastic coefficients.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Stochastic processes and statistical mechanics
