Critical behavior of the site percolation model on the square lattice in a L×M geometry
Relevant aspects of the critical behavior of the site percolation model in a L×M geometry (L≪M) are studied. It is shown that this geometry favors the growth of percolating clusters in the L-direction with respect to those growing in the M-direction, causing pronounced finite-size effects on the per...
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Autores principales: | , |
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Formato: | Articulo |
Lenguaje: | Inglés |
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1991
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/146376 |
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I19-R120-10915-146376 |
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record_format |
dspace |
institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Física Spectroscopy Neural Network Complex System Monte Carlo Simulation Asymptotic Behavior |
spellingShingle |
Física Spectroscopy Neural Network Complex System Monte Carlo Simulation Asymptotic Behavior Monetti, Roberto Adrián Albano, Ezequiel Vicente Critical behavior of the site percolation model on the square lattice in a L×M geometry |
topic_facet |
Física Spectroscopy Neural Network Complex System Monte Carlo Simulation Asymptotic Behavior |
description |
Relevant aspects of the critical behavior of the site percolation model in a L×M geometry (L≪M) are studied. It is shown that this geometry favors the growth of percolating clusters in the L-direction with respect to those growing in the M-direction, causing pronounced finite-size effects on the percolation probabilities. Scaling functions have an additional parameter, namely M, which introduces a dependence of these functions on the aspect ratio L/M. At criticality, the probability of a site belonging to the percolation clusters (PL,M) behaves like PL,M∝Lβ/vφ(L/M) with β=5/36 and v=4/3, where φ is a suitable scaling function. Using scaling arguments it is conjectured and then tested by means of Monte Carlo simulations, the following asymptotic behavior φ(L/M)∝(L/M)δ, (L→∞,M→∞, δ=1), for the leading term. Systematic deviations of the Monte Carlo data from the conjectured behavior are due to second order corrections to the leading term which can also be under-stood on the basis of scaling ideas. Finite-size dependent “critical probabilities” are also functions of L/M as it follows from scaling arguments which are corroborated by the simulations. |
format |
Articulo Articulo |
author |
Monetti, Roberto Adrián Albano, Ezequiel Vicente |
author_facet |
Monetti, Roberto Adrián Albano, Ezequiel Vicente |
author_sort |
Monetti, Roberto Adrián |
title |
Critical behavior of the site percolation model on the square lattice in a L×M geometry |
title_short |
Critical behavior of the site percolation model on the square lattice in a L×M geometry |
title_full |
Critical behavior of the site percolation model on the square lattice in a L×M geometry |
title_fullStr |
Critical behavior of the site percolation model on the square lattice in a L×M geometry |
title_full_unstemmed |
Critical behavior of the site percolation model on the square lattice in a L×M geometry |
title_sort |
critical behavior of the site percolation model on the square lattice in a l×m geometry |
publishDate |
1991 |
url |
http://sedici.unlp.edu.ar/handle/10915/146376 |
work_keys_str_mv |
AT monettirobertoadrian criticalbehaviorofthesitepercolationmodelonthesquarelatticeinalmgeometry AT albanoezequielvicente criticalbehaviorofthesitepercolationmodelonthesquarelatticeinalmgeometry |
bdutipo_str |
Repositorios |
_version_ |
1764820461107019777 |