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Partially motivated by the desire to better understand the connectivity phase transition in fractal percolation, we introduce and study a class of continuum fractal percolation models in dimension d greater than or equal to 2. These include…

Probability · Mathematics 2010-12-30 Erik I. Broman , Federico Camia

Classical density functional theory (DFT) of fluids is a valuable tool to analyze inhomogeneous fluids. However, few numerical solution algorithms for three-dimensional systems exist. Here we present an efficient numerical scheme for fluids…

Using classical density functional theory (DFT) in a modified mean-field approximation we investigate the fluid phase behavior of quasi-two dimensional dipolar fluids confined to a plane. The particles carry three-dimensional dipole moments…

Statistical Mechanics · Physics 2013-06-18 R. Geiger , S. H. Klapp

We study critical bond percolation on a seven-dimensional (7D) hypercubic lattice with periodic boundary conditions and on the complete graph (CG) of finite volume $V$. We numerically confirm that for both cases, the critical number density…

Statistical Mechanics · Physics 2018-02-14 Wei Huang , Pengcheng Hou , Junfeng Wang , Robert M. Ziff , Youjin Deng

We present a numerical study of 2D random-bond Potts ferromagnets. The model is studied both below and above the critical value $Q_c=4$ which discriminates between second and first-order transitions in the pure system. Two geometries are…

Statistical Mechanics · Physics 2009-10-31 Christophe Chatelain , Bertrand Berche

In many low-dimensional dynamical systems transport coefficients are very irregular, perhaps even fractal functions of control parameters. To analyse this phenomenon we study a dynamical system defined by a piece-wise linear map and…

Chaotic Dynamics · Physics 2009-11-10 Zbigniew Koza

Finite-size scaling (FSS) for a critical phase transition ($t=0$) states that within a window of size $|t|\sim L^{-1/\nu}$, the scaling behavior of any observable $Q$ in a system of linear size $L$ asymptotically follows a scaling form as…

Statistical Mechanics · Physics 2024-12-10 Ming Li , Sheng Fang , Jingfang Fan , Youjin Deng

Critical properties of hulls of directed spiral percolation (DSP) clusters are studied on the square and triangular lattices in two dimensions (2D). The hull fractal dimension ($d_H$) and some of the critical exponents associated with…

Disordered Systems and Neural Networks · Physics 2009-11-10 Santanu Sinha , S. B. Santra

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 prove that the fractal dimension of a metric space equipped with an Ahlfors regular measure can be recovered from the persistent homology of random samples. Our main result is that if $x_1,\ldots, x_n$ are i.i.d. samples from a…

Probability · Mathematics 2020-06-26 Benjamin Schweinhart

Numerical simulations of quantum magnetism in two spatial dimensions are often constrained by the area law of entanglement entropy, which heavily limits the accessible system sizes in tensor network methods. In this work, we investigate how…

Strongly Correlated Electrons · Physics 2026-01-06 Oliver R. Bellwood , Heitor P. Casagrande , William J. Munro

We study percolative properties of excursion processes and the discrete Gaussian free field (dGFF) in the planar unit disk. We consider discrete excursion clouds, defined using random walks as a two-dimensional version of random…

Probability · Mathematics 2024-09-04 Alexander Drewitz , Olof Elias , Alexis Prévost , Johan Tykesson , Fredrik Viklund

The isostatic jamming limit of frictionless spherical particles from Edwards' statistical mechanics [Song \emph{et al.}, Nature (London) {\bf 453}, 629 (2008)] is generalized to arbitrary dimension $d$ using a liquid-state description. The…

Statistical Mechanics · Physics 2010-11-29 Yuliang Jin , Patrick Charbonneau , Sam Meyer , Chaoming Song , Francesco Zamponi

Shape is one of the most important visual attributes to characterize objects, playing a important role in pattern recognition. There are various approaches to extract relevant information of a shape. An approach widely used in shape…

Computer Vision and Pattern Recognition · Computer Science 2012-01-17 André Ricardo Backes , Odemir Martinez Bruno

The finite-size scaling (FSS) theory for continuous phase transitions has been useful in determining the critical behavior from the size dependent behaviors of thermodynamic quantities. When the phase transition is discontinuous, however,…

Statistical Mechanics · Physics 2015-05-19 Y. S. Cho , S. -W. Kim , J. D. Noh , B. Kahng , D. Kim

Polymer's network is treated as an anisotropic fractal with fractional dimensionality D = 1 + \epsilon close to one. Percolation model on such a fractal is studied. Using the real space renormalization group approach of Migdal and Kadanoff…

Disordered Systems and Neural Networks · Physics 2009-10-30 A. N. Samukhin , V. N. Prigodin , L. Jastrabik

We study quasisymmetric maps on two variants of the classical fractal percolation model: the fat and dense fractal percolations. We show that, almost surely conditioned on non-extinction, the Hausdorff dimension of the fat fractal…

Metric Geometry · Mathematics 2025-10-09 Roope Anttila , Sylvester Eriksson-Bique , Aleksi Pyörälä

We construct and study a family random continuum polymer measures $\mathbf{M}_{r}$ corresponding to limiting partition function laws recently derived in a weak-coupling regime of polymer models on hierarchical graphs with marginally…

Probability · Mathematics 2021-11-23 Jeremy Clark

We study domain formation in the two-dimensional O(3) model near criticality. The fractal dimension of these domains is determined with good statistical accuracy.

High Energy Physics - Lattice · Physics 2009-10-28 C. Christou , F. K. Diakonos , H. Panagopoulos

We consider the problem of compactly representing the Depth First Search (DFS) tree of a given undirected or directed graph having $n$ vertices and $m$ edges while supporting various DFS related queries efficiently in the RAM with…

Data Structures and Algorithms · Computer Science 2019-06-20 Sankardeep Chakraborty , Kunihiko Sadakane
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