{"title":"Equilibrium distributions in entropy driven balanced processes","authors":"Tamás S. Biró , Zoltán Néda","doi":"10.1016/j.physa.2017.02.001","DOIUrl":null,"url":null,"abstract":"<div><p>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, <span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>n</mi></mrow></msub></math></span>, in a system where a node can activate <span><math><mi>k</mi></math></span> fixed connections from <span><math><mi>K</mi></math></span> possible partnerships among all nodes. The total number of connections, <span><math><mi>N</mi></math></span>, is also fixed. For particle physics problems <span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>n</mi></mrow></msub></math></span> is the probability of having <span><math><mi>n</mi></math></span> particles (or other quanta) distributed among <span><math><mi>k</mi></math></span> states (phase space cells) while altogether a fixed number of <span><math><mi>N</mi></math></span> particles reside on <span><math><mi>K</mi></math></span> states.</p></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"474 ","pages":"Pages 355-362"},"PeriodicalIF":3.1000,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.physa.2017.02.001","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437117301176","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
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, , in a system where a node can activate fixed connections from possible partnerships among all nodes. The total number of connections, , is also fixed. For particle physics problems is the probability of having particles (or other quanta) distributed among states (phase space cells) while altogether a fixed number of particles reside on states.
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.