
doi: 10.1007/bf00275996
pmid: 3755746
We consider Turing-type reaction-diffusion equations and study (via computer simulations) how the relationship between initial conditions and the asymptotic steady state solutions varies as a function of the boundary conditions. The results indicate that boundary conditions which are nonhomogeneous with respect to the kinetic steady state give rise to spatial patterns which are much less sensitive to variations in the initial conditions than those obtained with homogeneous boundary conditions, such as zero flux conditions. We also compare linear pattern predictions with the numerical solutions of the full nonlinear problem.
linear stability analysis, Turing-type reaction- diffusion mechanisms, morphogenetic processes, Models, Biological, Probabilistic models, generic numerical methods in probability and statistics, pre-pattern formation, Initial value problems for second-order parabolic systems, boundary conditions of non- zero flux, Animals, Systems of parabolic equations, boundary value problems, computer simulations, pattern sensitivity, Stability in context of PDEs, General biology and biomathematics, Mathematics, Software
linear stability analysis, Turing-type reaction- diffusion mechanisms, morphogenetic processes, Models, Biological, Probabilistic models, generic numerical methods in probability and statistics, pre-pattern formation, Initial value problems for second-order parabolic systems, boundary conditions of non- zero flux, Animals, Systems of parabolic equations, boundary value problems, computer simulations, pattern sensitivity, Stability in context of PDEs, General biology and biomathematics, Mathematics, Software
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