A Primer of Swarm Equilibria

被引:94
作者
Bernoff, Andrew J. [1 ]
Topaz, Chad M. [2 ]
机构
[1] Harvey Mudd Coll, Dept Math, Claremont, CA 91711 USA
[2] Macalester Coll, Dept Math Stat & Comp Sci, St Paul, MN 55105 USA
来源
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS | 2011年 / 10卷 / 01期
关键词
swarm; equilibrium; aggregation; integrodifferential equation; variational model; energy; minimizer; locust; NONLOCAL INTERACTION EQUATIONS; CELL-BASED MODELS; TIME BLOW-UP; AGGREGATION EQUATION; BIOLOGICAL AGGREGATION; STATIONARY STATES; POTENTIALS; PARTICLES; LOCUSTS; SYSTEM;
D O I
10.1137/100804504
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces. Beginning with a discrete dynamical model, we derive a variational description of the corresponding continuum population density. Equilibrium solutions are extrema of an energy functional and satisfy a Fredholm integral equation. We find conditions for the extrema to be local minimizers, global minimizers, and minimizers with respect to infinitesimal Lagrangian displacements of mass. In one spatial dimension, for a variety of exogenous forces, endogenous forces, and domain configurations, we find exact analytical expressions for the equilibria. These agree closely with numerical simulations of the underlying discrete model. The exact solutions provide a sampling of the wide variety of equilibrium configurations possible within our general swarm modeling framework. The equilibria typically are compactly supported and may contain delta-concentrations or jump discontinuities at the edge of the support. We apply our methods to a model of locust swarms, which in nature are observed to consist of a concentrated population on the ground separated from an airborne group. Our model can reproduce this configuration; quasi-two-dimensionality of the model plays a critical role.
引用
收藏
页码:212 / 250
页数:39
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