State Transitions and the Continuum Limit for a 2D Interacting, Self-Propelled Particle System
Preprint
Abstract
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.Keywords
All Related Versions
- Version 1, 2006-06-11, ArXiv
- Published version: Physica D: Nonlinear Phenomena, 232 (1), 33.
This publication has 34 references indexed in Scilit:
- A Nonlocal Continuum Model for Biological AggregationBulletin of Mathematical Biology, 2006
- An interacting particle system modelling aggregation behavior: from individuals to populationsJournal of Mathematical Biology, 2004
- Nonequilibrium statistical mechanics of swarms of driven particlesComplexity, 2003
- A non-local model for a swarmJournal of Mathematical Biology, 1999
- From Individuals to Aggregations: the Interplay between Behavior and PhysicsJournal of Theoretical Biology, 1999
- Do travelling band solutions describe cohesive swarms? An investigation for migratory locustsJournal of Mathematical Biology, 1998
- Individual differences make a difference in the trajectories of simulated schools of fishEcological Modelling, 1996
- Spatio-angular order in populations of self-aligning objects: formation of oriented patchesPhysica D: Nonlinear Phenomena, 1996
- Translating stochastic density-dependent individual behavior with sensory constraints to an Eulerian model of animal swarmingJournal of Mathematical Biology, 1994
- Self-organizing Dynamic Model of Fish SchoolingJournal of Theoretical Biology, 1994