English

Equilibrium distributions in entropy driven balanced processes

Statistical Mechanics 2017-03-08 v2 Nuclear Theory

Abstract

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

Keywords

Cite

@article{arxiv.1606.05737,
  title  = {Equilibrium distributions in entropy driven balanced processes},
  author = {Tamás S. Biró and Zoltán Néda},
  journal= {arXiv preprint arXiv:1606.05737},
  year   = {2017}
}

Comments

12 pages no figures

R2 v1 2026-06-22T14:28:27.370Z