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Equilibrium distributions in entropy driven balanced processes

Tamás S. Biró and Zoltán Néda

Physica A: Statistical Mechanics and its Applications, 2017, vol. 474, issue C, 355-362

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.

Keywords: Master equation; Particle number statistics; Random networks; Entropy driven processes (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:474:y:2017:i:c:p:355-362

DOI: 10.1016/j.physa.2017.02.001

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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