Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2006-06-11
Nonlinear Sciences
Adaptation and Self-Organizing Systems
Scientific paper
10.1016/j.physd.2007.05.007
We study a class of swarming problems wherein particles evolve dynamically via pairwise interaction potentials and a velocity selection mechanism. We find that the swarming system undergoes various changes of state as a function of the self-propulsion and interaction potential parameters. In this paper, we utilize a procedure which, in a definitive way, connects a class of individual-based models to their continuum formulations and determine criteria for the validity of the latter. H-stability of the interaction potential plays a fundamental role in determining both the validity of the continuum approximation and the nature of the aggregation state transitions. We perform a linear stability analysis of the continuum model and compare the results to the simulations of the individual-based one.
Bertozzi Andrea L.
Chayes Lincoln S.
Chuang Yao-li
D'Orsogna Maria R.
Marthaler Daniel
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