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相关论文: Diffusion limited aggregation on a tree

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Using stochastic conformal mappings we study the effects of anisotropic perturbations on diffusion limited aggregation (DLA) in two dimensions. The harmonic measure of the growth probability for DLA can be conformally mapped onto a constant…

统计力学 · 物理学 2009-11-10 M. N. Popescu , H. G. E. Hentschel , F. Family

Diffusion-limited cluster aggregation (DLCA) is a well established model for the formation of highly porous low-density non-equilibrium structures. One of the main conclusions of the previous studies considering this model is that the…

软凝聚态物质 · 物理学 2019-01-15 Swetlana Jungblut , Jan-Ole Joswig , Alexander Eychmüller

In this work, the transition between diffusion-limited and ballistic aggregation models was revisited using a model in which biased random walks simulate the particle trajectories. The bias is controlled by a parameter $\lambda$, which…

统计力学 · 物理学 2009-11-11 S. C. Ferreira , S. G. Alves , A. Faissal Brito , J. G. Moreira

Internal Diffusion Limited Aggregation is an interacting particle system that describes the growth of a random cluster governed by the boundary harmonic measure seen from an internal point. Our paper studies IDLA in $\mathbb{Z}^d$ driven by…

概率论 · 数学 2025-10-16 Amine Asselah , Vittoria Silvestri , Lorenzo Taggi

We consider the following problem in one-dimensional diffusion-limited aggregation (DLA). At time $t$, we have an "aggregate" consisting of $\Bbb{Z}\cap[0,R(t)]$ [with $R(t)$ a positive integer]. We also have $N(i,t)$ particles at $i$,…

概率论 · 数学 2008-09-25 Harry Kesten , Vladas Sidoravicius

We study internal diffusion limited aggregation (DLA) on the two dimensional comb lattice. The comb lattice is a spanning tree of the euclidean lattice, and internal DLA is a random growth model, where simple random walks, starting one at a…

概率论 · 数学 2014-01-28 Amine Asselah , Houda Rahmani

We expand upon a new theoretical framework for Diffusion Limited Aggregation and associated Dielectric Breakdown Models in two dimensions [R. C. Ball and E. Somfai, Phys. Rev. Lett. 89, 135503 (2002)]. Key steps are understanding how these…

统计力学 · 物理学 2007-05-23 R. C. Ball , E. Somfai

In this paper, we consider a non-homogeneous discrete-time Markov chain which can be seen as a toy model for the growth of the arms of the DLA (Diffusion limited aggregation) process in a sub-linear wedge. It is conjectured that in a thin…

概率论 · 数学 2022-08-23 Oren Louidor , Chanwoo Oh , Eviatar B. Procaccia

Given any regularly varying dislocation measure, we identify a natural self-similar fragmentation tree as scaling limit of discrete fragmentation trees with unit edge lengths. As an application, we obtain continuum random tree limits of…

概率论 · 数学 2009-09-29 Bénédicte Haas , Grégory Miermont , Jim Pitman , Matthias Winkel

The Internal Diffusion Limited Aggregation has been introduced by Diaconis and Fulton in 1991. It is a growth model defined on an infinite set and associated to a Markov chain on this set. We focus here on sets which are finitely generated…

概率论 · 数学 2007-05-23 Sebastien Blachere , Sara Brofferio

We study internal diffusion limited aggregation on $\mathbb{Z}$, where a cluster is grown incrementally by adding, for each random walk dispatched from the origin, the first site it reaches outside the cluster. We assume that the increment…

概率论 · 数学 2026-03-11 Conrado da Costa , Debleena Thacker , Andrew Wade

Diffusion-limited aggregation (DLA) assumes that particles perform pure random walk at a finite temperature and aggregate when they come close enough and stick together. Although it is well known that DLA in two dimensions results in a…

统计力学 · 物理学 2013-09-02 Li Deng , Yanting Wang , Zhong-Can Ou-Yang

In the present note we analyze the one-dimensional multi-particle diffusion limited aggregation (MDLA) model: the initial number of particles at each positive integer site has Poisson distribution with mean $\mu$, independently of all other…

数学物理 · 物理学 2020-09-15 Vladas Sidoravicius , Balazs Rath

We identify sources of systematic error in traditional simulations of the Witten-Sander model of diffusion-limited aggregation (DLA) on a square lattice. We present an algorithm that reduces these biases to below $10^{-12}$. We grow…

无序系统与神经网络 · 物理学 2014-07-10 Yen Lee Loh

Diffusion Limited Aggregation (DLA) is a model of fractal growth that had attained a paradigmatic status due to its simplicity and its underlying role for a variety of pattern forming processes. We present a convergent calculation of the…

统计力学 · 物理学 2009-10-31 Benny Davidovitch , Anders Levermann , Itamar Procaccia

Internal Diffusion Limited Aggregation (IDLA) is a model that describes the growth of a random aggregate of particles from the inside out. Shellef proved that IDLA processes on supercritical percolation clusters of integer-lattices fill…

概率论 · 数学 2011-11-03 Hugo Duminil-Copin , Cyrille Lucas , Ariel Yadin , Amir Yehudayoff

Internal diffusion-limited aggregation (IDLA) is a stochastic growth model on a graph $G$ which describes the formation of a random set of vertices growing from the origin (some fixed vertex) of $G$. Particles start at the origin and…

概率论 · 数学 2020-08-26 Joe P. Chen , Wilfried Huss , Ecaterina Sava-Huss , Alexander Teplyaev

Cylindrical lattice diffusion limited aggregation (DLA), with a narrow width N, is solved for site-sticking conditions using a Markovian matrix method (which was previously developed for the bond-sticking case). This matrix contains the…

统计力学 · 物理学 2009-10-31 Boaz Kol , Amnon Aharony

The computational complexity of internal diffusion-limited aggregation (DLA) is examined from both a theoretical and a practical point of view. We show that for two or more dimensions, the problem of predicting the cluster from a given set…

凝聚态物理 · 物理学 2007-05-23 Cristopher Moore , Jonathan Machta

Let $M$ be the infinite spanning-tree-weighted random planar map, which is the local limit of finite random planar maps sampled with probability proportional to the number of spanning trees they admit. We show that a.s. the…

概率论 · 数学 2021-03-01 Ewain Gwynne , Joshua Pfeffer