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Discontinuity of the magnetization in one-dimensional 1/¦x−y¦2 Ising and Potts models

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TLDR
In this paper, results from percolation theory are used to study phase transitions in one-dimensional Ising and q-state Potts models with couplings of the asymptotic form.
Abstract
Results from percolation theory are used to study phase transitions in one-dimensional Ising andq-state Potts models with couplings of the asymptotic formJ x,y≈ const/¦x−y¦2. For translation-invariant systems with well-defined lim x→∞ x 2 J x =J + (possibly 0 or ∞) we establish: (1) There is no long-range order at inverse temperaturesβ withβJ +⩽1. (2) IfβJ +>q, then by sufficiently increasingJ 1 the spontaneous magnetizationM is made positive. (3) In models with 0<J +<∞ the magnetization is discontinuous at the transition point (as originally predicted by Thouless), and obeysM(β c )⩾1/(β c J +)1/2. (4) For Ising (q=2) models withJ +<∞, it is noted that the correlation function decays as 〈σxσy〉(β)≈c(β)/|x−y|2 wheneverβ<β c . Points 1–3 are deduced from previous percolation results by utilizing the Fortuin-Kasteleyn representation, which also yields other results of independent interest relating Potts models with different values ofq.

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Random graph dynamics

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The phase transition in inhomogeneous random graphs

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Regularity properties and pathologies of position-space renormalization-group transformations: Scope and limitations of Gibbsian theory

TL;DR: In this article, the conceptual foundations of the renormalization-group (RG) formalism are considered and rigorous theorems on the regularity properties and possible pathologies of the RG map are presented.
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The Random-Cluster Model

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The phase transition in inhomogeneous random graphs

TL;DR: The “classical” random graph models, in particular G(n,p), are “homogeneous,” in the sense that the degrees tend to be concentrated around a typical value.
References
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Journal ArticleDOI

Nonuniversal critical dynamics in Monte Carlo simulations

TL;DR: A new approach to Monte Carlo simulations is presented, giving a highly efficient method of simulation for large systems near criticality, despite the fact that the algorithm violates dynamic universality at second-order phase transitions.
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On the random-cluster model: I. Introduction and relation to other models

TL;DR: It is shown that the function which for the random-cluster model plays the role of a partition function, is a generalization of the dichromatic polynomial earlier introduced by Tutte, and related polynomials.
Journal ArticleDOI

Association of Random Variables, with Applications

TL;DR: In this paper, it was shown that a random variable can be associated with another random variable if the test functions are either (a) binary or (b) bounded and continuous.
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Correlation inequalities on some partially ordered sets

TL;DR: In this article, it was shown that increasing functions on a finite distributive lattice are positively correlated by positive measures satisfying a suitable convexity property, and applications to Ising ferromagnets in an arbitrary magnetic field and to the random cluster model were given.
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Existence of a phase-transition in a one-dimensional Ising ferromagnet

TL;DR: In this paper, the existence of a phase transition for an infinite linear chain of spins with an interaction energy was proved for the case where ρ is positive and monotone decreasing, and the sums ρJ(n) and ρ (log logn) [n 3 ρ(n)]−1 both converged.
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