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相关论文: Diffusion Limited Aggregation on a Cylinder

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In the classical model of Diffusion Limited Aggregation (DLA), introduced by Witten and Sander, the process begins with a single particle cluster placed at the origin of a space, and then, one at a time, particles make a random walk from…

概率论 · 数学 2026-04-29 Colin Cooper , Alan Frieze

Internal DLA is a discrete random growth model describing growing clusters of particles. Its limiting shape and fluctuations are well understood when the underlying graph is the $d$-dimensional lattice or the cylinder $\mathbb{Z}_N \times…

概率论 · 数学 2026-04-24 Ahmed Bou-Rabee , Vittoria Silvestri , Ariel Yadin

We revisit Kesten's argument for the upper bound on the growth rate of DLA. We are able to make the argument robust enough so that it applies to many graphs, where only control of the heat kernel is required. We apply this to many examples…

概率论 · 数学 2017-05-18 Itai Benjamini , Ariel Yadin

In the Diffusion Limited Aggregation (DLA) process on on $\mathbb{Z}^2$, or more generally $\mathbb{Z}^d$, particles aggregate to an initially occupied origin by arrivals on a random walk. The scaling limit of the result, empirically, is a…

概率论 · 数学 2017-12-25 Alan Frieze , Wesley Pegden

We propose a simple model of columnar growth through {\it diffusion limited aggregation} (DLA). Consider a graph $G_N\times\N$, where the basis has $N$ vertices $G_N:=\{1,\dots,N\}$, and two vertices $(x,h)$ and $(x',h')$ are adjacent if…

概率论 · 数学 2015-11-24 A. Asselah , E. Cirillo , E. Scoppola , B. Scoppola

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

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

We study the following growth model on a regular d-ary tree. Points at distance n adjacent to the existing subtree are added with probabilities proportional to alpha^{-n}, where alpha<1 is a positive real parameter. The heights of these…

概率论 · 数学 2007-05-23 MArtin T. Barlow , Robin Pemantle , Edwin A. Perkins

Results from a modified Diffusion Limited Aggregation (DLA) model are presented. The modifications of the classical DLA model are in the attachment to the cluster rules and in the scheme of particle generation/killing. In the classical DLA…

介观与纳米尺度物理 · 物理学 2011-05-30 Bogdan Ranguelov , Desislava Goranova , Vesselin Tonchev , Rositsa Yakimova

We use coupling ideas introduced in \cite{levine2018long} to show that an IDLA process on a cylinder graph $G\times \mathbb{Z}$ forgets a typical initial profile in $\mathcal{O}( N\sqrt{\tau_N} (\log \! N)^2 )$ steps for large $N$, where…

概率论 · 数学 2020-07-02 Vittoria Silvestri

Diffusion limited aggregation (DLA) is a well studied phenomenon in which diffusing particles cumulatively aggregate on a starting fixed seed point, forming a pattern which is fractal in structure. Here we report an interesting DLA process…

斑图形成与孤子 · 物理学 2025-04-21 Suvrajyoti Chatterjee , Saba Firoze , Tabish Qureshi

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

When considering DLA on a cylinder it is natural to ask how many particles it takes to clog the cylinder, e.g. modeling clogging of arteries. In this note we formulate a very simple DLA clogging model and establish an exponential lower…

概率论 · 数学 2009-11-13 Itai Benjamini , Christopher Hoffman

We extend the conformal mapping approach elaborated for the radial Diffusion Limited Aggregation model (DLA) to the cylindrical geometry. We introduce in particular a complex function which allows to grow a cylindrical cluster using as…

统计力学 · 物理学 2007-05-23 Alessandro Taloni , Emanuele Caglioti , Vittorio Loreto , Luciano Pietronero

Cylindrical lattice Diffusion Limited Aggregation (DLA), with a narrow width N, is solved using a Markovian matrix method. This matrix contains the probabilities that the front moves from one configuration to another at each growth step,…

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

We consider a cluster growth model on Z^d, called internal diffusion limited aggregation (internal DLA). In this model, random walks start at the origin, one at a time, and stop moving when reaching a site not occupied by previous walks. It…

概率论 · 数学 2010-05-31 Amine Asselah , Alexandre Gaudilliere

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 study one-dimensional multi-particle Diffusion Limited Aggregation (MDLA) at its critical density $\lambda=1$. Previous works have verified that the size of the aggregate $X_t$ at time $t$ is $t^{1/2}$ in the subcritical regime and…

概率论 · 数学 2020-09-11 Dor Elboim , Danny Nam , Allan Sly

We study the fractal structure of Diffusion-Limited Aggregation (DLA) clusters on the square lattice by extensive numerical simulations (with clusters having up to $10^8$ particles). We observe that DLA clusters undergo strongly anisotropic…

统计力学 · 物理学 2017-11-08 Denis S. Grebenkov , Dmitry Beliaev

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
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