2003
DOI: 10.1590/s0103-97332003000300003
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Critical behavior in reaction-diffusion systems exhibiting absorbing phase transitions

Abstract: Phase transitions of reaction-diffusion systems with a site occupation restriction, particle creation requiring n > 2 parents, and in which explicit diffusion of single particles (A) is possible, are reviewed. Arguments based on mean-field approximation and simulations are given which support novel kind of nonequilibrium criticality. These are in contradiction with the implications of a suggested phenomenological, multiplicative noise Langevin equation approach and with some recent numerical analyses. Simulati… Show more

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Cited by 6 publications
(9 citation statements)
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“…When the infection rate exceeds the network's epidemic threshold there is a phase transition and a strictly positive fraction of the population is infected in the long term. Similar critical behavior phenomena are observed in many other physical systems including pest control using impulses of biological pathogens [9], percolation [10], Ising-Potts models [11,12], synchronization [13], reaction-diffusion processes [14], sandpiles [15] and avalanches [16], making the SIS model an important paradigm for these more complicated systems. To better understand how network topology effects the long term distribution of infected and susceptible populations in the SIS model, we use a one parameter family of networks all having the same average connectivity.…”
Section: Introductionsupporting
confidence: 57%
“…When the infection rate exceeds the network's epidemic threshold there is a phase transition and a strictly positive fraction of the population is infected in the long term. Similar critical behavior phenomena are observed in many other physical systems including pest control using impulses of biological pathogens [9], percolation [10], Ising-Potts models [11,12], synchronization [13], reaction-diffusion processes [14], sandpiles [15] and avalanches [16], making the SIS model an important paradigm for these more complicated systems. To better understand how network topology effects the long term distribution of infected and susceptible populations in the SIS model, we use a one parameter family of networks all having the same average connectivity.…”
Section: Introductionsupporting
confidence: 57%
“…The upper critical dimension for such systems is debated [6,21,23,24] but should be quite low (d c = 1 − 2) allowing a few anomalous critical transitions only. For example d c < 1 was confirmed by simulations in case of the asymmetric, binary production 2A → 4A, 4A → 2A model [25]. It was also pointed out there that N > 1 cluster mean-field approximation, that takes into account the diffusion of particles would provide a more adequate description of such models.…”
mentioning
confidence: 81%
“…The fluctuations in the absorbing state are so small, that systems cannot escape from it, hence such phase transitions may emerge in one dimension already. Several systems with binary, triplet or quadruplet, particle reactions have been investigated numerically and unclassified type of critical phase transitions were found [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Solid field theoretical treatment exists for bosonic, binary production systems only [26], but this is not applicable for the active and critical states of site restricted models, since it cannot describe a steady state with finite density.…”
mentioning
confidence: 99%
“…The other mean-field exponents can be also deduced in a straightforward way 70 . There are two important exceptions where the µ = 0 transitions in the reaction set Eq.…”
Section: Critical Point and Mean-field Transitionsmentioning
confidence: 99%