Literature DB >> 12780000

Pattern formation in an N+Q component reaction-diffusion system.

John E. Pearson1, William J. Bruno.   

Abstract

A general N+Q component reaction-diffusion system is analyzed with regard to pattern forming instabilities (Turing bifurcations). The system consists of N mobile species and Q immobile species. The Q immobile species form in response to reactions between the N mobile species and an immobile substrate and allow the Turing instability to occur. These results are valid both for bifurcations from a spatially uniform state and for systems with an externally imposed gradient as in the experimental systems in which Turing patterns have been observed. It is shown that the critical wave number and the location of the instability in parameter space are independent of the substrate concentration. It is also found that the system necessarily undergoes a Hopf bifurcation as the total substrate concentration is decreased. Further, in the case that all the mobile species diffuse at identical rates we show that if the full system is at a point of Turing bifurcation then the N component mobile subsystem is at transition from an unstable focus to an unstable node, and the critical wave number is simply related to the degenerate positive eigenvalue of the mobile subsystem. A sequence of bifurcations that occur in the eigenspectra as the total substrate concentration is decreased to zero is also discussed.

Entities:  

Year:  1992        PMID: 12780000     DOI: 10.1063/1.165893

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  6 in total

1.  Chemical morphogenesis: recent experimental advances in reaction-diffusion system design and control.

Authors:  István Szalai; Daniel Cuiñas; Nándor Takács; Judit Horváth; Patrick De Kepper
Journal:  Interface Focus       Date:  2012-03-28       Impact factor: 3.906

2.  High-throughput mathematical analysis identifies Turing networks for patterning with equally diffusing signals.

Authors:  Luciano Marcon; Xavier Diego; James Sharpe; Patrick Müller
Journal:  Elife       Date:  2016-04-08       Impact factor: 8.140

Review 3.  Chemical morphogenesis: turing patterns in an experimental chemical system.

Authors:  E Dulos; J Boissonade; J J Perraud; B Rudovics; P De Kepper
Journal:  Acta Biotheor       Date:  1996-11       Impact factor: 1.774

4.  Isolating Patterns in Open Reaction-Diffusion Systems.

Authors:  Andrew L Krause; Václav Klika; Philip K Maini; Denis Headon; Eamonn A Gaffney
Journal:  Bull Math Biol       Date:  2021-06-04       Impact factor: 1.758

5.  Turing patterns inside cells.

Authors:  Damián E Strier; Silvina Ponce Dawson
Journal:  PLoS One       Date:  2007-10-17       Impact factor: 3.240

6.  Model reduction enables Turing instability analysis of large reaction-diffusion models.

Authors:  Stephen Smith; Neil Dalchau
Journal:  J R Soc Interface       Date:  2018-03       Impact factor: 4.118

  6 in total

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