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A Kernel-Free Boundary Integral Method for Variable Coefficients Elliptic PDEs

Published online by Cambridge University Press:  03 June 2015

Wenjun Ying  and
Wei-Cheng Wang
Wenjun Ying*
Affiliation:
Department of Mathematics, MOE-LSC and Institute of Natural Sciences, Shanghai Jiao Tong University, Minhang, Shanghai 200240, P.R. China
Wei-Cheng Wang*
Affiliation:
Department of Mathematics, National Tsing Hua University, and National Center for Theoretical Sciences, HsinChu, 300, Taiwan
*
Corresponding author.Email:[email protected]
Email:[email protected]
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Abstract

This work proposes a generalized boundary integral method for variable coefficients elliptic partial differential equations (PDEs), including both boundary value and interface problems. The method is kernel-free in the sense that there is no need to know analytical expressions for kernels of the boundary and volume integrals in the solution of boundary integral equations. Evaluation of a boundary or volume integral is replaced with interpolation of a Cartesian grid based solution, which satisfies an equivalent discrete interface problem, while the interface problem is solved by a fast solver in the Cartesian grid. The computational work involved with the generalized boundary integral method is essentially linearly proportional to the number of grid nodes in the domain. This paper gives implementation details for a second-order version of the kernel-free boundary integral method in two space dimensions and presents numerical experiments to demonstrate the efficiency and accuracy of the method for both boundary value and interface problems. The interface problems demonstrated include those with piecewise constant and large-ratio coefficients and the heterogeneous interface problem, where the elliptic PDEs on two sides of the interface are of different types.

Keywords

35J0565N0665N38Elliptic partial differential equationvariable coefficientskernel-free boundary integral methodfinite difference methodgeometric multigrid iteration
Type
Research Article
Information
Communications in Computational Physics , Volume 15 , Issue 4 , April 2014 , pp. 1108 - 1140
Copyright
Copyright © Global Science Press Limited 2014

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