Clustering in a stochastic model of one-dimensional gas

dc.creatorVysotsky, Vladislav V.
dc.date2007-04-01
dc.date2008-06-17
dc.date.accessioned2026-07-07T09:44:36Z
dc.date.available2026-07-07T09:44:36Z
dc.descriptionWe 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 $K_n(t)$ as $n\to \infty$, 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.
dc.descriptionPublished in at http://dx.doi.org/10.1214/07-AAP481 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0704.0086
dc.identifierhttp://arxiv.org/abs/0704.0086
dc.identifierAnnals of Applied Probability 2008, Vol. 18, No. 3, 1026-1058
dc.identifierdoi:10.1214/07-AAP481
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/162929
dc.subjectProbability
dc.subject60K35, 82C22 (Primary) 60F17, 70F99 (Secondary)
dc.titleClustering in a stochastic model of one-dimensional gas
dc.typetext

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