MERGING-EMERGING SYSTEMS CAN DESCRIBE SPATIO-TEMPORAL PATTERNING IN A CHEMOTAXIS MODEL

被引:11
作者
Hillen, Thomas [1 ]
Zielinski, Jeffery [1 ]
Painter, Kevin J. [2 ,3 ]
机构
[1] Univ Alberta, Ctr Math Biol, Dept Math & Stat Sci, Edmonton, AB T6G 2G1, Canada
[2] Heriot Watt Univ, Sch Math & Comp Sci, Dept Math, Edinburgh EH14 4AS, Midlothian, Scotland
[3] Heriot Watt Univ, Sch Math & Comp Sci, Maxwell Inst Math Sci, Edinburgh EH14 4AS, Midlothian, Scotland
来源
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B | 2013年 / 18卷 / 10期
关键词
Chemotaxis patterns; merging; emerging; discrete dynamical systems; set-valued dynamical systems; SELF-ORGANIZATION; ESCHERICHIA-COLI;
D O I
10.3934/dcdsb.2013.18.2513
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In a recent study (K.J. Painter and T. Hillen, Spatio-temporal chaos in a chemotaxis model, Physica D. 240 (4), 363-375, 2011) a model for chemotaxis incorporating logistic growth was investigated for its pattern formation properties. In particular, a variety of complex spatio-temporal patterning was found, including stationary, periodic and chaotic. Complicated dynamics appear to arise through a sequence of "merging and emerging" events: the merging of two neighbouring aggregates or the emergence of a new aggregate in an open space. In this paper we focus on a time-discrete dynamical system motivated by these dynamics, which we call the merging-emerging system (MES). We introduce this new class of set-valued dynamical systems and analyse its capacity to generate similar "pattern formation" dynamics. The MES shows remarkably close correspondence with patterning in the logistic chemotaxis model, strengthening our assertion that the characteristic length scales of merging and emerging are responsible for the observed dynamics. Furthermore, the MES describes a novel class of pattern-forming discrete dynamical systems worthy of study in its own right.
引用
收藏
页码:2513 / 2536
页数:24
相关论文
共 26 条
[1]   Lower estimate of the attractor dimension for a chemotaxis growth system [J].
Aida, Masashi ;
Tsujikawa, Tohru ;
Efendiev, Messoud ;
Yagi, Atsushi ;
Mimura, Masayasu .
JOURNAL OF THE LONDON MATHEMATICAL SOCIETY-SECOND SERIES, 2006, 74 :453-474
[2]   Mathematical modeling of cancer cell invasion of tissue: biological insight from mathematical analysis and computational simulation [J].
Andasari, Vivi ;
Gerisch, Alf ;
Lolas, Georgios ;
South, Andrew P. ;
Chaplain, Mark A. J. .
JOURNAL OF MATHEMATICAL BIOLOGY, 2011, 63 (01) :141-171
[3]   "Spatiotemporal evolution in a (2 + 1)-dimensional chemotaxis model" (vol 391, pg 107, 2012) [J].
Banerjee, Santo ;
Rondoni, Lamberto .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2012, 391 (15) :4061-4062
[4]   Simplifying the complexity of pipe flow [J].
Barkley, Dwight .
PHYSICAL REVIEW E, 2011, 84 (01)
[5]   Modeling the bacterial self-organization in a circular container along the contact line as detected by bioluminescence imaging [J].
Baronas, Romas ;
Simkus, Remigijus .
NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2011, 16 (03) :270-282
[6]  
Bonner J.T., 2008, The social amoebae: the biology of cellular slime molds
[7]   COMPLEX PATTERNS FORMED BY MOTILE CELLS OF ESCHERICHIA-COLI [J].
BUDRENE, EO ;
BERG, HC .
NATURE, 1991, 349 (6310) :630-633
[8]   Bursting as an emergent phenomenon in coupled chaotic maps [J].
de Vries, G .
PHYSICAL REVIEW E, 2001, 64 (05) :9-051914
[9]   Cattaneo models for chemosensitive movement - Numerical solution and pattern formation [J].
Dolak, Y ;
Hillen, T .
JOURNAL OF MATHEMATICAL BIOLOGY, 2003, 46 (02) :153-170
[10]   A user's guide to PDE models for chemotaxis [J].
Hillen, T. ;
Painter, K. J. .
JOURNAL OF MATHEMATICAL BIOLOGY, 2009, 58 (1-2) :183-217