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On a Numerical Liapunov--Schmidt Spectral Method and Its Application to Biological Pattern Formation
Spectral expansions are used to provide a basis which preserves continuous symmetries. We show that spectral methods satisfy the conditions for convergence of numerical Liapunov--Schmidt methods. An explicit algorithm for the calculation of stationary bifurcation scenarios near primary instabilities...
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Published in: | SIAM journal on numerical analysis 2002-01, Vol.40 (2), p.683-701 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Spectral expansions are used to provide a basis which preserves continuous symmetries. We show that spectral methods satisfy the conditions for convergence of numerical Liapunov--Schmidt methods. An explicit algorithm for the calculation of stationary bifurcation scenarios near primary instabilities in general continuous symmetric equations is given. The above convergence is extended to $ \Gamma$-equivalent discrete and original bifurcation scenarios. The method is applied to a biologically motivated reaction-diffusion system with spherical symmetry forming patterns. A specific singularity of a generic steady state bifurcation is investigated in detail. |
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ISSN: | 0036-1429 1095-7170 |
DOI: | 10.1137/S0036142998339526 |