Clustering in a stochastic model of one-dimensional gas

Vladislav V. Vysotsky

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We give a quantitative analysis of clustering in a stochastic model of one-dimensional gas. At time zero, the gas consists of n identical particles that are randomly distributed on the real line and have zero initial speeds. Particles begin to move under the forces of mutual attraction. When particles collide, they stick together forming a new particle, called cluster, whose mass and speed are defined by the laws of conservation. We are interested in the asymptotic behavior of Kn (t) as n → ∞, where K n (t) denotes the number of clusters at time t in the system with n initial particles. Our main result is a functional limit theorem for K n(t). Its proof is based on the discovered localization property of the aggregation process, which states that the behavior of each particle is essentially defined by the motion of neighbor particles.

Original languageEnglish (US)
Pages (from-to)1026-1058
Number of pages33
JournalAnnals of Applied Probability
Volume18
Issue number3
DOIs
StatePublished - Jun 2008

Keywords

  • Adhesion
  • Aggregation
  • Gravitating particles
  • Number of clusters
  • Particle systems
  • Sticky particles

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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