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Open AccessJournal ArticleDOI

Zero-temperature hysteresis in the random-field Ising model on a Bethe lattice

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TLDR
In this paper, the authors considered the single spin-flip dynamics of the random-field Ising model on a Bethe lattice at zero temperature in the presence of a uniform external field.
Abstract
We consider the single-spin-flip dynamics of the random-field Ising model on a Bethe lattice at zero temperature in the presence of a uniform external field. We determine the average magnetization as the external field is varied from to by setting up the self-consistent field equations, which we show are exact in this case. The qualitative behaviour of magnetization as a function of the external field unexpectedly depends on the coordination number z of the Bethe lattice. For z = 3, with a Gaussian distribution of the quenched random fields, we find no jump in magnetization for any non-zero strength of disorder. For , for weak disorder the magnetization shows a jump discontinuity as a function of the external uniform field, which disappears for a larger variance of the quenched field. We determine exactly the critical point separating smooth hysteresis curves from those with a jump. We have checked our results by Monte Carlo simulations of the model on three- and four-coordinated random graphs, which for large system sizes give the same results as on the Bethe lattice, but avoid surface effects altogether.

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Critical phenomena in complex networks

TL;DR: A wide range of critical phenomena in equilibrium and growing networks including the birth of the giant connected component, percolation, $k$-core percolations, phenomena near epidemic thresholds, condensation transitions,critical phenomena in spin models placed on networks, synchronization, and self-organized criticality effects in interacting systems on networks are mentioned.
Journal ArticleDOI

Cascades on correlated and modular random networks

TL;DR: An analytical approach to determining the mean avalanche size in a broad class of dynamical models on random networks is introduced and previous results on percolation transitions and epidemic sizes are shown to be special cases of the method.
Book

Dynamical Systems on Networks: A Tutorial

TL;DR: This tutorial should be helpful for junior and senior undergraduate students, graduate students, and researchers from mathematics, physics, and engineering who seek to study dynamical systems on networks but who may not have prior experience with graph theory or networks.
Journal ArticleDOI

Crises and Collective Socio-Economic Phenomena: Simple Models and Challenges

TL;DR: In this article, the authors discuss different models that can capture potentially destabilizing self-referential feedback loops, induced either by herding, i.e. reference to peers, or trending, and that account for some of the phenomenology missing in the standard models.
Journal ArticleDOI

Crises and collective socio-economic phenomena: simple models and challenges

TL;DR: In this paper, the authors discuss different models that can capture potentially destabilising self-referential feedback loops, induced either by herding, or trending, and account for some of the phenomenology missing in the standard models.
References
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Book

Phase Transitions and Critical Phenomena

TL;DR: The field of phase transitions and critical phenomena continues to be active in research, producing a steady stream of interesting and fruitful results as discussed by the authors, and the major aim of this serial is to provide review articles that can serve as standard references for research workers in the field.
Book

Exactly solved models in statistical mechanics

Rodney Baxter
TL;DR: In this article, exactly solved models of statistical mechanics are discussed. But they do not consider exactly solvable models in statistical mechanics, which is a special issue in the statistical mechanics of the classical two-dimensional faculty of science.
Book

Random Graphs

Journal ArticleDOI

Exactly Solved Models in Statistical Mechanics

M A Moore
- 01 Apr 1983 - 
TL;DR: Baxter has inherited the mantle of Onsager who started the process by solving exactly the two-dimensional Ising model in 1944 as mentioned in this paper, and there has been a growing belief that all the twodimensional lattice statistical models will eventually be solved and that it will be Professor Baxter who solves them.
Journal ArticleDOI

Hysteresis and hierarchies: Dynamics of disorder-driven first-order phase transformations.

TL;DR: The zero-temperature random-field Ising model is used to study hysteretic behavior at first-order phase transitions using mean-field theory and results of numerical simulations in three dimensions are presented.
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