Literature DB >> 16858662

A nonlocal continuum model for biological aggregation.

Chad M Topaz1, Andrea L Bertozzi, Mark A Lewis.   

Abstract

We construct a continuum model for biological aggregations in which individuals experience long-range social attraction and short-range dispersal. For the case of one spatial dimension, we study the steady states analytically and numerically. There exist strongly nonlinear states with compact support and steep edges that correspond to localized biological aggregations, or clumps. These steady-state clumps are reached through a dynamic coarsening process. In the limit of large population size, the clumps approach a constant density swarm with abrupt edges. We use energy arguments to understand the nonlinear selection of clump solutions, and to predict the internal density in the large population limit. The energy result holds in higher dimensions as well, and is demonstrated via numerical simulations in two dimensions.

Mesh:

Year:  2006        PMID: 16858662     DOI: 10.1007/s11538-006-9088-6

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  25 in total

1.  Fish in a ring: spatio-temporal pattern formation in one-dimensional animal groups.

Authors:  Nicole Abaid; Maurizio Porfiri
Journal:  J R Soc Interface       Date:  2010-04-22       Impact factor: 4.118

2.  Symmetries and pattern formation in hyperbolic versus parabolic models of self-organised aggregation.

Authors:  Pietro-Luciano Buono; Raluca Eftimie
Journal:  J Math Biol       Date:  2014-10-15       Impact factor: 2.259

3.  Complex spatial group patterns result from different animal communication mechanisms.

Authors:  R Eftimie; G de Vries; M A Lewis
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-16       Impact factor: 11.205

4.  Weakly nonlinear analysis of a hyperbolic model for animal group formation.

Authors:  R Eftimie; G de Vries; M A Lewis
Journal:  J Math Biol       Date:  2008-09-03       Impact factor: 2.259

5.  An investigation of a nonlocal hyperbolic model for self-organization of biological groups.

Authors:  Razvan C Fetecau; Raluca Eftimie
Journal:  J Math Biol       Date:  2009-11-28       Impact factor: 2.259

6.  A gradient flow formulation for the stochastic Amari neural field model.

Authors:  Christian Kuehn; Jonas M Tölle
Journal:  J Math Biol       Date:  2019-06-18       Impact factor: 2.259

7.  An agent-based approach for modelling collective dynamics in animal groups distinguishing individual speed and orientation.

Authors:  Sara Bernardi; Marco Scianna
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

Review 8.  Mathematical models for cell migration: a non-local perspective.

Authors:  Li Chen; Kevin Painter; Christina Surulescu; Anna Zhigun
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

9.  Mathematical model for positioning the FtsZ contractile ring in Escherichia coli.

Authors:  Zhigang Zhang; Jeffrey J Morgan; Paul A Lindahl
Journal:  J Math Biol       Date:  2013-02-26       Impact factor: 2.259

10.  Simulating Flying Insects Using Dynamics and Data-Driven Noise Modeling to Generate Diverse Collective Behaviors.

Authors:  Jiaping Ren; Xinjie Wang; Xiaogang Jin; Dinesh Manocha
Journal:  PLoS One       Date:  2016-05-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.