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Modern perspectives on near-equilibrium analysis of Turing systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F21%3A00352994" target="_blank" >RIV/68407700:21340/21:00352994 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1098/rsta.2020.0268" target="_blank" >https://doi.org/10.1098/rsta.2020.0268</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1098/rsta.2020.0268" target="_blank" >10.1098/rsta.2020.0268</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modern perspectives on near-equilibrium analysis of Turing systems

  • Original language description

    In the nearly seven decades since the publication of Alan Turing's work on morphogenesis, enormous progress has been made in understanding both the mathematical and biological aspects of his proposed reaction-diffusion theory. Some of these developments were nascent in Turing's paper, and others have been due to new insights from modern mathematical techniques, advances in numerical simulations and extensive biological experiments. Despite such progress, there are still important gaps between theory and experiment, with many examples of biological patterning where the underlying mechanisms are still unclear. Here, we review modern developments in the mathematical theory pioneered by Turing, showing how his approach has been generalized to a range of settings beyond the classical two-species reaction-diffusion framework, including evolving and complex manifolds, systems heterogeneous in space and time, and more general reaction-transport equations. While substantial progress has been made in understanding these more complicated models, there are many remaining challenges that we highlight throughout. We focus on the mathematical theory, and in particular linear stability analysis of 'trivial' base states. We emphasize important open questions in developing this theory further, and discuss obstacles in using these techniques to understand biological reality. This article is part of the theme issue 'Recent progress and open frontiers in Turing's theory of morphogenesis'.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000778" target="_blank" >EF16_019/0000778: Center for advanced applied science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

  • ISSN

    1364-503X

  • e-ISSN

    1471-2962

  • Volume of the periodical

    379

  • Issue of the periodical within the volume

    2213

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    30

  • Pages from-to

  • UT code for WoS article

    000715239400001

  • EID of the result in the Scopus database

    2-s2.0-85118600508