Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2003-05-21
Phys. Rev. E 68, 040101 (2003)
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 3 figures; revised version, as published
Scientific paper
10.1103/PhysRevE.68.040101
We analyse the motion of a system of particles subjected a random force fluctuating in both space and time, and experiencing viscous damping. When the damping exceeds a certain threshold, the system undergoes a phase transition: the particle trajectories coalesce. We analyse this transition by mapping it to a Kramers problem which we solve exactly. In the limit of weak random force we characterise the dynamics by computing the rate at which caustics are crossed, and the statistics of the particle density in the coalescing phase. Last but not least we describe possible realisations of the effect, ranging from trajectories of raindrops on glass surfaces to animal migration patterns.
Mehlig Bernhard
Wilkinson Mark
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