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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

We consider bond percolation on random graphs with given degrees and bounded average degree. In particular, we consider the order of the largest component after the random deletion of the edges of such a random graph. We give a rough…

Combinatorics · Mathematics 2022-01-12 Nikolaos Fountoulakis , Felix Joos , Guillem Perarnau

The stochastic addition of either vertices or connections in a network leads to the observation of the percolation transition, a structural change with the appearance of a connected component encompassing a finite fraction of the system.…

Physics and Society · Physics 2016-06-23 Filippo Radicchi , Claudio Castellano

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

Consider some matrix waiting for its coefficients to be written. For each column, sample independently a Bernoulli random variable of some parameter $p$. Seeing all this and possibly using extra randomness, Alice then chooses one spot in…

Probability · Mathematics 2026-03-16 Sébastien Martineau , Rémy Poudevigne , Paul Rax

It is well known that a continuous phase transition in Bernoulli bond percolation on the integer lattice is equivalent to a vanishing probability a vertex is invaded in invasion percolation. We provide a coupling between invasion…

Probability · Mathematics 2025-11-18 Aldo Morelli

We investigate the geometric properties of loops on two-dimensional lattice graphs, where edge weights are drawn from a distribution that allows for positive and negative weights. We are interested in the appearance of spanning loops of…

Disordered Systems and Neural Networks · Physics 2009-11-13 L. Apolo , O. Melchert , A. K. Hartmann

* ACTIVATED RANDOM WALK MODEL * This is a conservative particle system on the lattice, with a Markovian continuous-time evolution. Active particles perform random walks without interaction, and they may as well change their state to…

Probability · Mathematics 2011-03-15 Leonardo T. Rolla

In this paper, we consider accessibility percolation on hypercubes, i.e., we place i.i.d. uniform [0,1] random variables on vertices of a hypercube, and study whether there is a path connecting two vertices such that the values of these…

Probability · Mathematics 2017-06-05 Li Li

We establish the sharpness of the percolation phase transition for a class of infinite-range weighted random connection models. The vertex set is given by a marked Poisson point process on $\mathbb{R}^d$ with intensity $\lambda>0$, where…

Probability · Mathematics 2025-12-29 Alejandro Caicedo , Leonid Kolesnikov

We introduce models of generic rigidity percolation in two dimensions on hierarchical networks, and solve them exactly by means of a renormalization transformation. We then study how the possibility for the network to self organize in order…

Statistical Mechanics · Physics 2015-05-13 J. Barré

This short note aims at complementing the results of the recent work arXiv:2302.05396, where Jahnel and L\"uchtrath investigate the question of existence of a subcritical percolation phase for the annulus-crossing probabilities in a large…

Probability · Mathematics 2024-12-10 Emmanuel Jacob

Ever since J.M. Hammersley showed the existence of phase-transitions regarding independent bond percolation on general $d \geq 2$ dimensional integer-lattices in the late 50's, the continuity (or discontinuity) of which is perhaps the most…

Probability · Mathematics 2018-07-13 Achillefs Tzioufas

The study of random graphs has become very popular for real-life network modeling such as social networks or financial networks. Inhomogeneous long-range percolation (or scale-free percolation) on the lattice $\mathbb Z^d$, $d\ge1$, is a…

Probability · Mathematics 2014-09-29 Philippe Deprez , Rajat Subhra Hazra , Mario V. Wüthrich

In this paper we introduce a variant of the honeycomb lattice in which we create defects by randomly exchanging adjacent bonds, producing a random tiling with a distribution of polygon edges. We study the percolation properties on these…

Disordered Systems and Neural Networks · Physics 2016-05-04 Meryl A. Spencer , Robert M. Ziff

We study phase transition and percolation at criticality for three random graph models on the plane, viz., the homogeneous and inhomogeneous enhanced random connection models (RCM) and the Poisson stick model. These models are built on a…

Probability · Mathematics 2020-04-03 Srikanth K. Iyer , Sanjoy Kr. Jhawar

We consider the Bernoulli bond percolation model in a box $\Lambda$ (not necessarily parallel to the directions of the lattice) in the regime where the percolation parameter is close to $1$. We condition the configuration on the event that…

Probability · Mathematics 2019-07-04 Raphaël Cerf , Wei Zhou

We prove phase transitions for continuum percolation in a Boolean model based on a Cox point process with nonstabilizing directing measure. The directing measure, which can be seen as a stationary random environment for the classical…

Probability · Mathematics 2023-05-10 Benedikt Jahnel , Sanjoy Kumar Jhawar , Anh Duc Vu

We study a model for coupled networks introduced recently by Buldyrev et al., Nature 464, 1025 (2010), where each node has to be connected to others via two types of links to be viable. Removing a critical fraction of nodes leads to a…

Data Analysis, Statistics and Probability · Physics 2015-05-30 Seung-Woo Son , Peter Grassberger , Maya Paczuski

We propose the $K$-selective percolation process as a model for the iterative removals of nodes with the specific intermediate degree in complex networks. In the model, a random node with degree $K$ is deactivated one by one until no more…

Disordered Systems and Neural Networks · Physics 2022-02-14 Jung-Ho Kim , K. -I. Goh