Equilibrium distributions in entropy driven balanced processes

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2017-05-15 DOI:10.1016/j.physa.2017.02.001
Tamás S. Biró , Zoltán Néda
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引用次数: 2

Abstract

For entropy driven balanced processes we obtain final states with Poisson, Bernoulli, negative binomial and Pólya distributions. We apply this both for complex networks and particle production. For random networks we follow the evolution of the degree distribution, Pn, in a system where a node can activate k fixed connections from K possible partnerships among all nodes. The total number of connections, N, is also fixed. For particle physics problems Pn is the probability of having n particles (or other quanta) distributed among k states (phase space cells) while altogether a fixed number of N particles reside on K states.

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熵驱动平衡过程中的平衡分布
对于熵驱动的平衡过程,我们得到了泊松分布、伯努利分布、负二项分布和Pólya分布的最终状态。我们将其应用于复杂网络和粒子生产。对于随机网络,我们遵循度分布Pn的演化,在这个系统中,一个节点可以从所有节点之间的k个可能的伙伴关系中激活k个固定连接。总连接数N也是固定的。对于粒子物理问题,Pn是有n个粒子(或其他量子)分布在k个状态(相空间单元)中,而k个状态上总共有固定数量的n个粒子的概率。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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