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

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An investigation of a nonlocal hyperbolic model for self-organization of biological groups. / Fetecau, Razvan C.; Eftimie, Raluca.

In: Journal of Mathematical Biology, Vol. 61, No. 4, 10.2010, p. 545-579.

Research output: Contribution to journalArticle

Harvard

Fetecau, RC & Eftimie, R 2010, 'An investigation of a nonlocal hyperbolic model for self-organization of biological groups' Journal of Mathematical Biology, vol 61, no. 4, pp. 545-579.

APA

Fetecau, R. C., & Eftimie, R. (2010). An investigation of a nonlocal hyperbolic model for self-organization of biological groups. Journal of Mathematical Biology, 61(4), 545-579doi: 10.1007/s00285-009-0311-6

Vancouver

Fetecau RC, Eftimie R. An investigation of a nonlocal hyperbolic model for self-organization of biological groups. Journal of Mathematical Biology. 2010 Oct;61(4):545-579.

Author

Fetecau, Razvan C.; Eftimie, Raluca / An investigation of a nonlocal hyperbolic model for self-organization of biological groups.

In: Journal of Mathematical Biology, Vol. 61, No. 4, 10.2010, p. 545-579.

Research output: Contribution to journalArticle

Bibtex - Download

@article{685a18a5c59a48b38af28f73a063202e,
title = "An investigation of a nonlocal hyperbolic model for self-organization of biological groups",
author = "Fetecau, {Razvan C.} and Raluca Eftimie",
year = "2010",
volume = "61",
number = "4",
pages = "545--579",
journal = "Journal of Mathematical Biology",
issn = "0303-6812",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - An investigation of a nonlocal hyperbolic model for self-organization of biological groups

A1 - Fetecau,Razvan C.

A1 - Eftimie,Raluca

AU - Fetecau,Razvan C.

AU - Eftimie,Raluca

PY - 2010/10

Y1 - 2010/10

N2 - <p>In this article, we introduce and study a new nonlocal hyperbolic model for the formation and movement of animal aggregations. We assume that the nonlocal attractive, repulsive, and alignment interactions between individuals can influence both the speed and the turning rates of group members. We use analytical and numerical techniques to investigate the effect of these nonlocal interactions on the long-time behavior of the patterns exhibited by the model. We establish the local existence and uniqueness and show that the nonlinear hyperbolic system does not develop shock solutions (gradient blow-up). Depending on the relative magnitudes of attraction and repulsion, we show that the solutions of the model either exist globally in time or may exhibit finite-lime amplitude blow-up. We illustrate numerically the various patterns displayed by the model dispersive aggregations, finite-size groups and blow-up patterns, the latter corresponding to aggregations which may collapse to a point. The transition from finite-size to blow-up patterns is governed by the magnitude of the social interactions and the random turning rates The presence of these types of patterns and the absence of shocks are consequences of the biologically relevant assumptions regarding the form of the speed and the turning rate functions, as well as of the kernels describing the social interactions.</p>

AB - <p>In this article, we introduce and study a new nonlocal hyperbolic model for the formation and movement of animal aggregations. We assume that the nonlocal attractive, repulsive, and alignment interactions between individuals can influence both the speed and the turning rates of group members. We use analytical and numerical techniques to investigate the effect of these nonlocal interactions on the long-time behavior of the patterns exhibited by the model. We establish the local existence and uniqueness and show that the nonlinear hyperbolic system does not develop shock solutions (gradient blow-up). Depending on the relative magnitudes of attraction and repulsion, we show that the solutions of the model either exist globally in time or may exhibit finite-lime amplitude blow-up. We illustrate numerically the various patterns displayed by the model dispersive aggregations, finite-size groups and blow-up patterns, the latter corresponding to aggregations which may collapse to a point. The transition from finite-size to blow-up patterns is governed by the magnitude of the social interactions and the random turning rates The presence of these types of patterns and the absence of shocks are consequences of the biologically relevant assumptions regarding the form of the speed and the turning rate functions, as well as of the kernels describing the social interactions.</p>

U2 - 10.1007/s00285-009-0311-6

DO - 10.1007/s00285-009-0311-6

M1 - Article

JO - Journal of Mathematical Biology

JF - Journal of Mathematical Biology

SN - 0303-6812

IS - 4

VL - 61

SP - 545

EP - 579

ER -

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