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Drift- or fluctuation-induced ordering and self-organization in driven many-particle systems

D. Helbing1,2 and T. Płatkowski3,1

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According to empirical observations, some pattern formation phenomena in driven many-particle systems are more pronounced in the presence of a certain noise level. We investigate this phenomenon of fluctuation-driven ordering with a cellular-automaton model of interactive motion in space and find an optimal noise strength, while order breaks down at high(er) fluctuation levels. Additionally, we discuss the phenomenon of noise- and drift-induced self-organization in systems that would show disorder in the absence of fluctuations. In the future, related studies may have applications to the control of many-particle systems such as the efficient separation of particles. The rather general formulation of our model in the spirit of game theory may allow to shed some light on several different kinds of noise-induced ordering phenomena observed in physical, chemical, biological, and socio-economic systems (e.g., attractive and repulsive agglomeration, or segregation).


PACS

05.40.-a Fluctuation phenomena, random processes, noise, and Brownian motion

47.54.+r Pattern selection; pattern formation

47.62.+q Flow control

Subjects

Fluid dynamics

Statistical physics and nonlinear systems

Dates

Issue 2 (October 2002)

Received 18 April 2002, accepted for publication 23 July 2002, in final form 23 July 2002



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