Journal
JOURNAL OF SCIENTIFIC COMPUTING
Volume 56, Issue 3, Pages 535-565Publisher
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10915-013-9688-x
Keywords
Radial basis functions; Mesh-free; Manifold; Collocation; Method-of-lines; Pattern formation; Turing patterns; Spiral waves
Categories
Funding
- National Science Foundation [DMS-0934581, DMS-0540779, DMS-1160379]
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [0934581, 1160379] Funding Source: National Science Foundation
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In this paper we present a high-order kernel method for numerically solving diffusion and reaction-diffusion partial differential equations (PDEs) on smooth, closed surfaces embedded in . For two-dimensional surfaces embedded in , these types of problems have received growing interest in biology, chemistry, and computer graphics to model such things as diffusion of chemicals on biological cells or membranes, pattern formations in biology, nonlinear chemical oscillators in excitable media, and texture mappings. Our kernel method is based on radial basis functions and uses a semi-discrete approach (or the method-of-lines) in which the surface derivative operators that appear in the PDEs are approximated using collocation. The method only requires nodes at scattered locations on the surface and the corresponding normal vectors to the surface. Additionally, it does not rely on any surface-based metrics and avoids any intrinsic coordinate systems, and thus does not suffer from any coordinate distortions or singularities. We provide error estimates for the kernel-based approximate surface derivative operators and numerically study the accuracy and stability of the method. Applications to different non-linear systems of PDEs that arise in biology and chemistry are also presented.
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