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Detalle de: A non-linear analysis of Turing pattern formation

Title A non-linear analysis of Turing pattern formation
Abstract

Reaction-diffusion schemes are widely used to model and interpret phenomena in various fields. In that context, phenomena driven by Turing instabilities are particularly relevant to describe patterning in a number of biological processes. While the conditions that determine the appearance of Turing patterns and their wavelength can be easily obtained by a linear stability analysis, the estimation of pattern amplitudes requires cumbersome calculations due to non-linear terms. Here we introduce an expansion method that makes possible to obtain analytical, approximated, solutions of the pattern amplitudes. We check and illustrate the reliability of this methodology with results obtained from numerical simulations.

Apa Reference Chen, Y., & Buceta, J. (2019). A non-linear analysis of Turing pattern formation. PLOS ONE, 14(8), e0220994. 10.1371/journal.pone.0220994
Doi 10.1371/journal.pone.0220994
Publication Date 9 Aug 2019
Publication Type Article
Researcher Javier Buceta
Ontology Computational models and simulations
Research Groups TheSiMBioSys (Theoretical and In Silico Modeling of Biological Systems)
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