English

Multiple Exclusion Statistics: the $k$-mers problem

Statistical Mechanics 2019-05-24 v1

Abstract

A new distribution for systems of particles obeying statistical exclusion of correlated states is presented following the Haldane's state counting. It relies upon a conjecture to deal with the multiple exclusion that takes place when the states available to single particles are spatially correlated and it can be simultaneously excluded by more than one particle. The Haldane's statistics [F. D. M. Haldane, Phys. Rev. Lett. 67, 937 (1991)] and Wu's distribution [Y.-S. Wu, Phys. Rev. Lett. 52, 2103 (1984)] are recovered in the limit of non-correlated states (constant statistical exclusion) of the multiple exclusion statistics. In addition, the exclusion spectrum function G(n)G(n) is introduced to account for the dependence of the statistical exclusion on the occupation-number nn. Results of thermodynamics and state occupation are shown for ideal lattice gases of linear particles of size kk (kk-mers) where multiple exclusion occurs. Remarkable agreement is found with simulations from k=2k=2 to 1010 where multiple exclusion dominates as kk increases.

Keywords

Cite

@article{arxiv.1905.09277,
  title  = {Multiple Exclusion Statistics: the $k$-mers problem},
  author = {Julián J. Riccardo},
  journal= {arXiv preprint arXiv:1905.09277},
  year   = {2019}
}

Comments

108 pages, in Spanish, Bachelor Thesis

R2 v1 2026-06-23T09:18:10.308Z