One-Step Approximations For Stochastic Functional Differential Equations

Abstract

We consider the problem of strong approximations of the solution of It\^{o} stochastic functional differential equations (SFDEs). We develop a general framework for the convergence of drift-implicit one-step schemes to the solution of SFDEs. We provide examples to illustrate the applicability of the framework.