Convergence of a spatial semi-discretization for a backward semilinear stochastic parabolic equation
Binjie Li, Xiaoping Xie

TL;DR
This paper proves the convergence and spatial accuracy of a semi-discrete finite element method for backward semilinear stochastic parabolic equations, with applications to stochastic control.
Contribution
It establishes the first-order spatial convergence of a standard finite element method for these equations and applies the results to stochastic control problems.
Findings
Higher regularity of solutions is derived.
First-order spatial accuracy is achieved.
Application to stochastic linear quadratic control is demonstrated.
Abstract
This paper studies the convergence of a spatial semi-discretization for a backward semilinear stochastic parabolic equation. The filtration is general, and the spatial semi-discretization uses the standard continuous piecewise linear element method. Firstly, higher regularity of the solution to the continuous equation is derived. Secondly, the first-order spatial accuracy is derived for the spatial semi-discretization. Thirdly, an application of the theoretical result to a stochastic linear quadratic control problem is presented.
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics
