2013
DOI: 10.1103/physreve.88.042823
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Ising models on the regularized Apollonian network

Abstract: We investigate the critical properties of Ising models on a Regularized Apollonian Network (RAN), here defined as a kind of Apollonian Network (AN) in which the connectivity asymmetry associated to its corners is removed. Different choices for the coupling constants between nearest neighbors are considered, and two different order parameters are used to detect the critical behaviour. While ordinary ferromagnetic and anti-ferromagnetic models on RAN do not undergo a phase transition, some anti-ferrimagnetic mod… Show more

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Cited by 15 publications
(16 citation statements)
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“…In this direction, there is topical interest in both the typical behaviour and fluctuations for particle systems with memory. In particular, statistical physicists have recently studied a variety of memory-dependent random walkers in classical and quantum contexts, see e.g., [7,8,9,10] -some of these can be related to the reinforced random walks and Pólya urn models found in earlier mathematical literature and reviewed, for instance, in [11]. Much less is known about non-Markovian many-particle systems but some aspects of the stationary-state properties (e.g., mean current as a function of density, conditions for a condensation transition) have been investigated for models with internal states or non-exponential waiting times [12,13,14].…”
Section: Introductionmentioning
confidence: 99%
“…In this direction, there is topical interest in both the typical behaviour and fluctuations for particle systems with memory. In particular, statistical physicists have recently studied a variety of memory-dependent random walkers in classical and quantum contexts, see e.g., [7,8,9,10] -some of these can be related to the reinforced random walks and Pólya urn models found in earlier mathematical literature and reviewed, for instance, in [11]. Much less is known about non-Markovian many-particle systems but some aspects of the stationary-state properties (e.g., mean current as a function of density, conditions for a condensation transition) have been investigated for models with internal states or non-exponential waiting times [12,13,14].…”
Section: Introductionmentioning
confidence: 99%
“…There are many ways to incorporate memory effects including generalized Langevin or Fokker-Planck approaches [5,6,7], and the assumption of internal variables or non-exponential waiting times in many-particle microscopic models [8,9,10]. At the random walk level, recent analytical studies in the physics literature have included the imaginatively named "elephant" random walker who remembers a property of the entire history [11], the "Alzheimer" random walker who recalls just the distant past [12,13], and "bold" and "timorous" random walkers who behave differently only when they are at the furthest point ever attained [14]. In fact, the elephant random walk can also be related to the older Pólya urn problem [15]; see [16] for a mathematical review of this and other random processes with reinforcement.…”
Section: Introductionmentioning
confidence: 99%
“…The use of long-term memory should strongly impact movement and it is probably at the origin of many observations which are incompatible with RWs predictions, such as, very slow diffusion, heterogeneous space use, the tendency to revisit often particular places at the expense of others, or the emergence of routines [10,11,17,18,21,22]. Non-Markovian random walks where movement steps depend on the whole path of the walker [23][24][25] offer a promising modeling framework in this context. But the relative lack of available analytical results in this area limits the understanding of the effects of memory on mobility patterns.…”
mentioning
confidence: 99%