Non-Local Cell Adhesion Models: Symmetries and Bifurcations in 1-D

Author:   Andreas Buttenschön ,  Thomas Hillen
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   1
ISBN:  

9783030671136


Pages:   152
Publication Date:   11 June 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Non-Local Cell Adhesion Models: Symmetries and Bifurcations in 1-D


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Overview

This monograph considers the mathematical modeling of cellular adhesion, a key interaction force in cell biology. While deeply grounded in the biological application of cell adhesion and tissue formation, this monograph focuses on the mathematical analysis of non-local adhesion models. The novel aspect is the non-local term (an integral operator), which accounts for forces generated by long ranged cell interactions. The analysis of non-local models has started only recently, and it has become a vibrant area of applied mathematics. This monograph contributes a systematic analysis of steady states and their bifurcation structure, combining global bifurcation results pioneered by Rabinowitz, equivariant bifurcation theory, and the symmetries of the non-local term. These methods allow readers to analyze and understand cell adhesion on a deep level.

Full Product Details

Author:   Andreas Buttenschön ,  Thomas Hillen
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   1
Weight:   0.256kg
ISBN:  

9783030671136


ISBN 10:   3030671135
Pages:   152
Publication Date:   11 June 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Modelers who wish to use similar approaches in their modeling will find this a good source of base information, as well as a valuable guide for initiating similar analyses for their own models. Analysts wishing to expand our understanding ... will find this book a fine building block. It could also prove a useful resource for graduate students looking for potential projects ... . this monograph is an admirable attempt ... and hopefully will inspire significant further study. (Kevin Painter, SIAM Review, Vol. 64 (1), March, 2022) The detailed analysis, as presented here, shows a stimulating interaction between model symmetries, mathematical analysis, and biological reality, which probably are inspired the authors and hopefully the readers of this book too. (Andrey Zahariev, zbMATH 1473.92001, 2021)


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