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相关论文: The multi-species mean-field spin-glass on the Nis…

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We investigate an extended +-J Ising spin glass model by using a gauge symmetry. This model has +-J1 interactions and +-J2 interactions. We show that a gauge symmetry is usable to study this model. The exact internal energy, the rigorous…

无序系统与神经网络 · 物理学 2012-07-27 Chiaki Yamaguchi

The critical behavior of a family of fully connected mean-field models with quenched disorder, the $M-p$ Ising spin glass, is analyzed, displaying a crossover between a continuous and a random first order phase transition as a control…

无序系统与神经网络 · 物理学 2015-05-20 F. Caltagirone , U. Ferrari , L. Leuzzi , G. Parisi , T. Rizzo

The concept of replica symmetry breaking found in the solution of the mean-field Sherrington-Kirkpatrick spin-glass model has been applied to a variety of problems in science ranging from biological to computational and even financial…

无序系统与神经网络 · 物理学 2008-03-25 Helmut G. Katzgraber , Alexander K. Hartmann , A. P. Young

We introduce and study a model which admits a complex landscape without containing quenched disorder. Continuing our previous investigation we introduce a disordered model which allows us to reconstruct all the main features of the original…

凝聚态物理 · 物理学 2009-10-22 Enzo Marinari , Giorgio Parisi , Felix Ritort

We prove that the distribution functions of magnetization and spin glass order parameter coincide on the Nishimori line in the phase diagram of the $\pm J$ Ising model in any dimension. This implies absence of replica symmetry breaking…

无序系统与神经网络 · 物理学 2009-10-31 Hidetoshi Nishimori , David Sherrington

The mean field spin glass model is analyzed by a combination of mathematically rigororous methods and a powerful Ansatz. The method exploited is general, and can be applied to others disordered mean field models such as, e.g., neural…

无序系统与神经网络 · 物理学 2009-10-31 Francesco Baffioni , Francesco Rosati

In Bayesian inference, computing the posterior distribution from the data is typically a non-trivial problem, which usually requires approximations such as mean-field approaches or numerical methods, like the Monte Carlo Markov Chain. Being…

无序系统与神经网络 · 物理学 2025-07-29 Alfredo Braunstein , Louise Budzynski , Matteo Mariani , Federico Ricci-Tersenghi

A disordered mean field model for multimode laser in open and irregular cavities is proposed and discussed within the replica analysis. The model includes the dynamics of the mode intensity and accounts also for the possible presence of a…

统计力学 · 物理学 2015-05-20 Fabrizio Antenucci , Andrea Crisanti , Luca Leuzzi

The multicritical behavior at the Nishimori point of two-dimensional Ising spin glasses is investigated by using numerical transfer-matrix methods to calculate probability distributions $P(C)$ and associated moments of spin-spin correlation…

统计力学 · 物理学 2009-11-10 S. L. A. de Queiroz , R. B. Stinchcombe

The Nishimori point of the random bond Ising model is a prototype of renormalization group fixed points with strong disorder. We show that the exact correlation length and crossover critical exponents at this point can be identified in two…

统计力学 · 物理学 2025-04-18 Gesualdo Delfino

This article reviews recent studies of mean-field and one dimensional quantum disordered spin systems coupled to different types of dissipative environments. The main issues discussed are: (i) The real-time dynamics in the glassy phase and…

无序系统与神经网络 · 物理学 2009-11-10 Leticia F. Cugliandolo

The study of the normalized sum of random variables and its asymptotic behaviour has been and continues to be a central chapter in probability and statistical mechanics. When those variables are independent the central limit theorem ensures…

数学物理 · 物理学 2012-12-18 M. Fedele

We report some results on the quenched disordered Spherical multi-$p$-Spin Model in presence of ferromagnetic couplings. In particular, we present the phase diagrams of some representative cases that schematically describe, in the…

无序系统与神经网络 · 物理学 2013-03-19 Andrea Crisanti , Luca Leuzzi

We apply the method of gauge transformation to spin glasses under the microcanonical ensemble to study the possibility of ensemble inequivalence in systems with long-range interactions and quenched disorder. It is proved that all the…

无序系统与神经网络 · 物理学 2015-03-17 Hidetoshi Nishimori

The effects of competing quadrupolar- and spin-glass orderings are investigated on a spin-1 Ising model with infinite-range random $p$-spin interactions. The model is studied through the replica approach and a phase diagram is obtained in…

统计力学 · 物理学 2009-10-31 J. M. de Araujo , F. A. da Costa , F. D. Nobre

The role of reflection symmetry breaking for the character of the appearance of replica symmetric spin glass state is investigated. We establish the following symmetry rule for classical systems with one order parameter in the replica…

无序系统与神经网络 · 物理学 2009-11-07 N. V. Gribova , V. N. Ryzhov , T. I. Schelkacheva , E. E. Tareyeva

The inverse problem method is tested for a class of mean field statistical mechanics models representing a mixture of particles of different species. The robustness of the inversion is investigated for different values of the physical…

数学物理 · 物理学 2015-06-12 M. Fedele , C. Vernia , P. Contucci

There are deep analogies between the melting dynamics in systems with a first order phase transition and the dynamics from equilibrium in super-cooled liquids. For a class of Ising spin models undergoing a first order transition - namely…

统计力学 · 物理学 2011-01-25 Florent Krzakala , Lenka Zdeborová

Possible forms of obstructed atomic limits in quasi-one-dimensional systems are studied using line group symmetry. This is accomplished by revisiting the standard theory with an emphasis on its group-theoretical background, synthesizing the…

其他凝聚态物理 · 物理学 2024-12-30 Milan Damnjanovic , Ivanka Milosevic

We obtain the symmetry algebra of multi-matrix models in the planar large N limit. We use this algebra to associate these matrix models with quantum spin chains. In particular, certain multi-matrix models are exactly solved by using known…

高能物理 - 理论 · 物理学 2009-10-30 C. - W. H. Lee , S. G. Rajeev