A transformed stochastic Euler scheme for multidimensional transmission PDE

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:394

Article

Etore, Pierre¹  Martinez, Miguel² 

[1] Univ Grenoble Alpes, LJK, Grenoble INP, INRIA,CNRS, 700 Ave Cent, F-38401 St Martin Dheres, France

[2] Univ Gustave Eiffel, LAMA, 5 Blvd Descartes, F-77454 Marne La Vallee 2, France

关键词: Stochastic differential equations;    Divergence form operators;    Euler discretization scheme;    Monte Carlo methods;   

DOI  :  10.1016/j.cam.2021.113551

来源: Elsevier

【 摘 要 】

In this paper we consider multi-dimensional Partial Differential Equations (PDE) of parabolic type in divergence form. The coefficient matrix of the divergence operator is assumed to be discontinuous along some smooth interface. At this interface, the solution of the PDE presents a compatibility transmission condition of its co-normal derivatives (multi-dimensional diffraction problem). We prove an existence and uniqueness result for the solution and study its properties. In particular, we provide new estimates for the partial derivatives of the solution in the classical sense. We then construct a low complexity numerical Monte Carlo stochastic Euler scheme to approximate the solution of the PDE of interest. Using the afore mentioned estimates, we prove a convergence rate for our stochastic numerical method when the initial condition belongs to some iterated domain of the divergence form operator. Finally, we compare our results to classical deterministic numerical approximations and illustrate the accuracy of our method. (C) 2021 Elsevier B.V. All rights reserved.

【 授权许可】

Free