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We consider a type of dependent percolation introduced by Aizenman and Grimmett, who showed that certain "enhancements" of independent (Bernoulli) percolation, called essential, make the percolation critical probability strictly smaller. In…

Mathematical Physics · Physics 2007-12-21 Federico Camia

We investigate a perturbatively renormalizable $S_{q}$ invariant model with $N=q-1$ scalar field components below the upper critical dimension $d_c=\frac{10}{3}$. Our results hint at the existence of multicritical generalizations of the…

Statistical Mechanics · Physics 2021-01-04 Alessandro Codello , Mahmoud Safari , Gian Paolo Vacca , Omar Zanusso

The ground-state of an infinite-range Potts glass-type model with +/- J bonds and unrestricted number of states is used to investigate coalition formation. As a function of the q probability of +J bonds in the system it is found that the r…

Statistical Mechanics · Physics 2007-05-23 Z. Neda , R. Florian , M. Ravasz , A. Libal , G. Gyorgyi

The site and bond percolation problems are conventionally studied on (hyper)cubic lattices, which afford straightforward numerical treatments. The recent implementation of efficient simulation algorithms for high-dimensional systems now…

Statistical Mechanics · Physics 2021-06-14 Yi Hu , Patrick Charbonneau

We present a unified theory of fracture in disordered brittle media that reconciles apparently conflicting results reported in the literature. Our renormalization group based approach yields a phase diagram in which the percolation fixed…

Statistical Mechanics · Physics 2013-05-09 Ashivni Shekhawat , Stefano Zapperi , James P. Sethna

We present a new method, ePT, for extrapolating few known coefficients of a perturbative expansion. Controlled by comparisons with numerically exact quantum Monte Carlo (QMC) results, 10th order strong-coupling perturbation theory (PT) for…

Strongly Correlated Electrons · Physics 2007-05-23 N. Blümer , E. Kalinowski

The concept of midpoint percolation has recently been applied to characterize the double percolation transitions in negatively curved structures. Regular $d$-dimensional hypercubic lattices are in the present work investigated using the…

Statistical Mechanics · Physics 2010-04-16 Seung Ki Baek , Petter Minnhagen , Beom Jun Kim

We apply the Bethe-Peierls approximation to the problem of the inverse Ising model and show how the linear response relation leads to a simple method to reconstruct couplings and fields of the Ising model. This reconstruction is exact on…

Disordered Systems and Neural Networks · Physics 2012-03-14 H. Chau Nguyen , Johannes Berg

The Localization Landscape Theory (LLT) provides a classical picture of Anderson localization by introducing an effective confining potential whose percolation is proposed to coincide with the mobility edge. Although this proposal shows…

Disordered Systems and Neural Networks · Physics 2025-12-04 Lorenzo Tonetti , Leticia F. Cugliandolo , Marco Tarzia

In a recent paper hep-lat/9704020 we investigated Potts models on ``thin'' random graphs -- generic Feynman diagrams, using the idea that such models may be expressed as the N --> 1 limit of a matrix model. The models displayed first order…

Statistical Mechanics · Physics 2008-02-03 D. A. Johnston , P. Plechac

In finite-size scaling analyses of critical phenomena, proper consideration of correction terms, which can come from different sources, plays an important role. For the Fortuin-Kasteleyn representation of the $Q$-state Potts model in two…

Statistical Mechanics · Physics 2025-04-15 Yihao Xu , Jesús Salas , Youjin Deng

The diffusion and bootstrap percolation models were studied in regular random and Erd\H{o}s-R\'{e}nyi networks using the modified Newman-Ziff algorithms. We calculated the percolation threshold and the order parameter of the percolation…

Statistical Mechanics · Physics 2022-02-18 Jeong-Ok Choi , Unjong Yu

In this paper, we apply machine learning methods to study phase transitions in certain statistical mechanical models on the two dimensional lattices, whose transitions involve non-local or topological properties, including site and bond…

Statistical Mechanics · Physics 2019-06-11 Wanzhou Zhang , Jiayu Liu , Tzu-Chieh Wei

The quantum $5$-state Potts model is known to possess a perturbative description using complex conformal field theory (CCFT), the analytic continuation of ``theory space" to a complex plane. To study the corresponding complex fixed point on…

Strongly Correlated Electrons · Physics 2026-04-01 Vic Vander Linden , Boris De Vos , Kevin Vervoort , Frank Verstraete , Atsushi Ueda

Our recent study on the Bethe lattice reported that a discontinuous percolation transition emerges as the number of occupied links increases and each node rewires its links to locally suppress the growth of neighboring clusters. However,…

Disordered Systems and Neural Networks · Physics 2026-01-19 Young Sul Cho

The function of a real network depends not only on the reliability of its own components, but is affected also by the simultaneous operation of other real networks coupled with it. Robustness of systems composed of interdependent network…

Physics and Society · Physics 2015-07-10 Filippo Radicchi

Determining the onset of rigidity in gels is a fundamental challenge with significant practical implications across different applications. Limited-valence, or patchy-particle systems have proven to be a valuable model to study the…

Soft Condensed Matter · Physics 2025-04-04 J. C. Neves , J. M. Tavares , N. A. M. Araújo , C. S. Dias

Certain power-counting non-renormalizable theories, including the most general self-interacting scalar fields in four and three dimensions and fermions in two dimensions, have a simplified renormalization structure. For example, in…

High Energy Physics - Theory · Physics 2009-11-11 Damiano Anselmi

We consider a large class of spatially-embedded random graphs that includes among others long-range percolation, continuum scale-free percolation and the age-dependent random connection model. We assume that the model is supercritical:…

Probability · Mathematics 2024-10-18 Joost Jorritsma , Júlia Komjáthy , Dieter Mitsche

Learning in restricted Boltzmann machine is typically hard due to the computation of gradients of log-likelihood function. To describe the network state statistics of the restricted Boltzmann machine, we develop an advanced mean field…

Statistical Mechanics · Physics 2015-05-27 Haiping Huang , Taro Toyoizumi