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We consider percolation on the discrete torus $\mathbb{Z}_n^d$ at $p_c(\mathbb{Z}^d)$, the critical value for percolation on the corresponding infinite lattice $\mathbb{Z}^d$, and within the scaling window around it. We assume that $d$ is a…

Probability · Mathematics 2025-12-23 Arthur Blanc-Renaudie , Asaf Nachmias

We develop a general universality technique for establishing metric scaling limits of critical random discrete structures exhibiting mean-field behavior that requires four ingredients: (i) from the barely subcritical regime to the critical…

Probability · Mathematics 2024-06-21 Jnaneshwar Baslingker , Shankar Bhamidi , Nicolas Broutin , Sanchayan Sen , Xuan Wang

We describe the critical window for percolation in the universality class of sparse growing random graphs. In our models, vertices arrive sequentially and connect independently to each earlier vertex $v$ with probability proportional to a…

Probability · Mathematics 2025-12-23 Joost Jorritsma , Pascal Maillard , Peter Mörters

We investigate the component sizes of the critical configuration model, as well as the related problem of critical percolation on a supercritical configuration model. We show that, at criticality, the finite third moment assumption on the…

Probability · Mathematics 2017-02-16 Souvik Dhara , Remco van der Hofstad , Johan S. H. van Leeuwaarden , Sanchayan Sen

We consider long-range Bernoulli bond percolation on the $d$-dimensional hierarchical lattice in which each pair of points $x$ and $y$ are connected by an edge with probability $1-\exp(-\beta\|x-y\|^{-d-\alpha})$, where $0<\alpha<d$ is…

Probability · Mathematics 2022-11-11 Tom Hutchcroft

In this paper, we study the critical behavior of percolation on a configuration model with degree distribution satisfying an infinite second-moment condition, which includes power-law degrees with exponent $\tau \in (2,3)$. It is well known…

Probability · Mathematics 2020-07-01 Souvik Dhara , Remco van der Hofstad , Johan S. H. van Leeuwaarden

In the past years, many properties of the largest connected components of critical percolation on the high-dimensional torus, such as their sizes and diameter, have been established. The order of magnitude of these quantities equals the one…

Probability · Mathematics 2013-05-08 Remco van der Hofstad , Artem Sapozhnikov

Consider long-range Bernoulli percolation on $\mathbb{Z}^d$ in which we connect each pair of distinct points $x$ and $y$ by an edge with probability $1-\exp(-\beta\|x-y\|^{-d-\alpha})$, where $\alpha>0$ is fixed and $\beta\geq 0$ is a…

Probability · Mathematics 2022-11-23 Tom Hutchcroft

In long-range percolation on $\mathbb{Z}^d$, points $x$ and $y$ are connected by an edge with probability $1-\exp(-\beta\|x-y\|^{-d-\alpha})$, where $\alpha>0$ is fixed and $\beta \geq 0$ is a parameter. As $d$ and $\alpha$ vary, the model…

Probability · Mathematics 2025-08-27 Tom Hutchcroft

A wide array of random graph models have been postulated to understand properties of observed networks. Typically these models have a parameter $t$ and a critical time $t_c$ when a giant component emerges. It is conjectured that for a large…

Probability · Mathematics 2021-06-15 Shankar Bhamidi , Nicolas Broutin , Sanchayan Sen , Xuan Wang

We present a new unified theory of critical finite-size scaling for lattice statistical mechanical models with periodic boundary conditions above the upper critical dimension. Our theory is based on recent mathematically rigorous results…

Statistical Mechanics · Physics 2026-03-02 Yucheng Liu , Jiwoon Park , Gordon Slade

We propose an approach to calculate the critical percolation threshold for finite-sized Erdos-Renyi digraphs using minimal Hamiltonian cycles. We obtain an analytically exact result, valid non-asymptotically for all graph sizes, which…

Statistical Mechanics · Physics 2014-05-12 Michelle Rudolph-Lilith , Lyle E. Muller

We prove up-to-constants bounds on the two-point function (i.e., point-to-point connection probabilities) for critical long-range percolation on the $d$-dimensional hierarchical lattice. More precisely, we prove that if we connect each pair…

Probability · Mathematics 2021-04-01 Tom Hutchcroft

We present a unifying, consistent, finite-size-scaling picture for percolation theory bringing it into the framework of a general, renormalization-group-based, scaling scheme for systems above their upper critical dimensions $d_c$.…

Statistical Mechanics · Physics 2017-05-16 Ralph Kenna , Bertrand Berche

Mitra et al. [Phys. Rev. E 99 (2019) 012117] proposed a new percolation model that includes distortion in the square lattice and concluded that it may belong to the same universality class as the ordinary percolation. But the conclusion is…

Statistical Mechanics · Physics 2019-05-16 Hoseung Jang , Unjong Yu

We investigate the scaling of the largest critical percolation cluster on a large d-dimensional torus, for nearest-neighbor percolation in high dimensions, or when d>6 for sufficient spread-out percolation. We use a relatively simple…

Probability · Mathematics 2007-05-23 Markus Heydenreich , Remco van der Hofstad

We study limits of the largest connected components (viewed as metric spaces) obtained by critical percolation on uniformly chosen graphs and configuration models with heavy-tailed degrees. For rank-one inhomogeneous random graphs, such…

Probability · Mathematics 2020-05-11 Shankar Bhamidi , Souvik Dhara , Remco van der Hofstad , Sanchayan Sen

We consider the Erdos-Renyi random graph G(n,p) inside the critical window, where p = 1/n + lambda * n^{-4/3} for some lambda in R. We proved in a previous paper (arXiv:0903.4730) that considering the connected components of G(n,p) as a…

Probability · Mathematics 2010-03-30 L. Addario-Berry , N. Broutin , C. Goldschmidt

We study the critical behavior for percolation on inhomogeneous random networks on $n$ vertices, where the weights of the vertices follow a power-law distribution with exponent $\tau \in (2,3)$. Such networks, often referred to as…

Probability · Mathematics 2021-07-12 Shankar Bhamidi , Souvik Dhara , Remco van der Hofstad

It is a central prediction of renormalisation group theory that the critical behaviours of many statistical mechanics models on Euclidean lattices depend only on the dimension and not on the specific choice of lattice. We investigate the…

Statistical Mechanics · Physics 2022-04-27 Noah Halberstam , Tom Hutchcroft
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