Abstract:
In this paper, we study the strong rate of convergence for the Euler-Maruyama approximation of a class of one-dimensional stochastic differential equations involving the ...Show MoreMetadata
Abstract:
In this paper, we study the strong rate of convergence for the Euler-Maruyama approximation of a class of one-dimensional stochastic differential equations involving the local time (SDELT) of the unknown process, corresponding to divergence form operator with a discontinuous coefficients at zero. We use a space transform in order to remove the local time Lt0 from the stochastic differential equation of type, dXt = σ(Xt)dBt + ψ(Xt)dt + βdLt0 (X). Here B is a standard one-dimensional Brownian motion. σ and ψ are a bounded measurable functions, and β ∈ (-1, 1) . We provide the approximation of Euler-Maruyama for the stochastic differential equation without local time. After that the approximation can be transformed back, giving an approximation of Euler-Maruyama Xnt to the solution of the original SDELT, and we provide the rate of strong convergence Error = E[|XTn -XT|].
Published in: 2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)
Date of Conference: 05-06 December 2018
Date Added to IEEE Xplore: 13 January 2019
ISBN Information: