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arXiv 0811.2093math.PRmath-phmath.APmath.MP
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基于随机偏微分方程的自组织临界性

Self-organized criticality via stochastic partial differential equations

Viorel Barbu, Philippe Blanchard, Giuseppe Da Prato, Michael Röckner

摘要:

模型的自组织临界性,这可以被描述为奇异扩散或没有(乘法)维纳强迫项(例如,巴克/唐/Wiesenfeld和张模型),进行了分析。证明了非负强解的存在唯一性。先前数值预测的过渡到临界状态的1-D证实了一个严格的证明,这确实发生在有限的时间与高概率。

英文摘要:

Models of self-organized criticality, which can be described as singular diffusions with or without (multiplicative) Wiener forcing term (as e.g. the Bak/Tang/Wiesenfeld- and Zhang-models), are analyzed. Existence and uniqueness of nonnegative strong solutions are proved. Previously numerically predicted transition to the critical state in 1-D is confirmed by a rigorous proof that this indeed happens in finite time with high probability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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