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相关论文: The self-organized critical forest-fire model on l…

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We study finite-size effects in the self-organized critical forest-fire model by numerically evaluating the tree density and the fire size distribution. The results show that this model does not display the finite-size scaling seen in…

统计力学 · 物理学 2009-10-31 Klaus Schenk , Barbara Drossel , Siegfried Clar , Franz Schwabl

We review the properties of the self-organized critical (SOC) forest-fire model. The paradigm of self-organized criticality refers to the tendency of certain large dissipative systems to drive themselves into a critical state independent of…

统计力学 · 物理学 2016-08-31 Siegfried Clar , Barbara Drossel , Franz Schwabl

We discuss the properties of a self--organized critical forest--fire model which has been introduced recently. We derive scaling laws and define critical exponents. The values of these critical exponents are determined by computer…

凝聚态物理 · 物理学 2009-10-22 S. Clar , B. Drossel , F. Schwabl

Depending on the rule for tree growth, the forest-fire model shows either self-organized criticality with rule-dependent exponents, or synchronization, or an intermediate behavior. This is shown analytically for the one-dimensional system,…

凝聚态物理 · 物理学 2009-10-28 Barbara Drossel

We present a systematic study of corrections to scaling in the self-organized critical forest-fire model. The analysis of the steady-state condition for the density of trees allows us to pinpoint the presence of these corrections, which…

统计力学 · 物理学 2009-10-31 Romualdo Pastor-Satorras , Alessandro Vespignani

We modify the rules of the self-organized critical forest-fire model in one dimension by allowing the fire to jump over holes of $\le k$ sites. An analytic calculation shows that not only the size distribution of forest clusters but also…

凝聚态物理 · 物理学 2015-06-25 Barbara Drossel , Siegfried Clar , Franz Schwabl

We present the analytic solution of the self-organized critical (SOC) forest-fire model in one dimension proving SOC in systems without conservation laws by analytic means. Under the condition that the system is in the steady state and very…

凝聚态物理 · 物理学 2009-10-22 Barbara Drossel , Siegfried Clar , Franz Schwabl

We re-examine a two-dimensional forest-fire model via Monte-Carlo simulations and show the existence of two length scales with different critical exponents associated with clusters and with the usual two-point correlation function of trees.…

统计力学 · 物理学 2015-02-24 A. Honecker , I. Peschel

We include immunity against fire as a new parameter into the self-organized critical forest-fire model. When the immunity assumes a critical value, clusters of burnt trees are identical to percolation clusters of random bond percolation. As…

凝聚态物理 · 物理学 2009-10-22 Barbara Drossel , Siegfried Clar , Franz Schwabl

The forest fire model is a reaction-diffusion model where energy, in the form of trees, is injected uniformly, and burned (dissipated) locally. We show that the spatial distribution of fires forms a novel geometric structure where the…

统计力学 · 物理学 2009-10-31 Kan Chen , Per Bak

Amongst the numerous models introduced with SOC, the Forest Fire Model (FFM) is particularly attractive for its close relationship to stochastic spreading, which is central to the study of systems as diverse as epidemics, rumours, or…

统计力学 · 物理学 2020-05-14 Lorenzo Palmieri , Henrik Jeldtoft Jensen

We reconsider a model introduced by Bak, Chen, and Tang (Phys. Rev. A 38, 364 (1988)) as a supposedly self-organized critical model for forest fires. We verify again that the model is not critical in 2 dimensions, as found also by previous…

adap-org · 物理学 2008-02-03 Hans-Martin Bröker , Peter Grassberger

We study the long-time dynamics of a forest-fire model with deterministic tree growth and instantaneous burning of entire forests by stochastic lightning strikes. Asymptotically the system organizes into a coarsening self-similar mosaic of…

统计力学 · 物理学 2009-11-07 K. E. Chan , P. L. Krapivsky , S. Redner

The Drossel-Schwabl Forest Fire Model is one of the best studied models of non-conservative self-organised criticality. However, using a new algorithm, which allows us to study the model on large statistical and spatial scales, it has been…

统计力学 · 物理学 2007-05-23 Gunnar Pruessner , Henrik Jeldtoft Jensen

We investigate a forest-fire model with the density of empty sites as control parameter. The model exhibits three phases, separated by one first-order phase transition and one 'mixed' phase transition which shows critical behavior on only…

统计力学 · 物理学 2009-10-30 Siegfried Clar , Klaus Schenk , Franz Schwabl

We introduce a novel approach to study the critical behavior of equilibrium and non-equilibrium systems which is based on the concept of an instantaneous correlation length. We analyze in detail two classical statistical mechanical systems:…

统计力学 · 物理学 2020-03-04 Lorenzo Palmieri , Henrik Jeldtoft Jensen

We show by extensive simulations that the whole supercritical phase of the three-dimensional uniform forest model simultaneously exhibits an infinite tree and a rich variety of critical phenomena. Besides typical scalings like algebraically…

统计力学 · 物理学 2024-05-08 Hao Chen , Jesús Salas , Youjin Deng

Recently, large-scale cascading failures in complex systems have garnered substantial attention. Such extreme events have been treated as an integral part of the self-organized criticality (SOC). Recent empirical work has suggested that…

综合金融 · 定量金融 2015-03-18 Deokjae Lee , Jae-Young Kim , Jeho Lee , B. Kahng

We present a unified mean-field theory, based on the single site approximation to the master-equation, for stochastic self-organized critical models. In particular, we analyze in detail the properties of sandpile and forest-fire (FF)…

统计力学 · 物理学 2009-10-30 Alessandro Vespignani , Stefano Zapperi

We investigate the scaling behavior of the cluster size distribution in the Drossel-Schwabl Forest Fire model (DS-FFM) by means of large scale numerical simulations, partly on (massively) parallel machines. It turns out that simple scaling…

统计力学 · 物理学 2009-11-07 Gunnar Pruessner , Henrik Jeldtoft Jensen
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