Abstract
This chapter treats of one of the most fundamental observation for biological systems: the Turing instability mechanism. In his seminal paper, A. Turing suggests that a system of chemical substances reacting together and diffusing through a tissue, is adequate to account for the main phenomena of morphogenesis, that is boundary formation. Surprisingly, he shows how diffusion can generate unstability and this effect is also called ‘diffusion driven instabilities’. We present the argument for Turing instability, that mean instabilities where unstable modes remain finite. We illustrate the linear theory with several famous nonlinear examples: the non-local Fisher/KPP equation, the CIMA reaction, the brusselator, the Gray-Scott system etc.
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Perthame, B. (2015). Linear Instability, Turing Instability and Pattern Formation. In: Parabolic Equations in Biology. Lecture Notes on Mathematical Modelling in the Life Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-19500-1_7
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DOI: https://doi.org/10.1007/978-3-319-19500-1_7
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