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arXiv 0911.3137cond-mat.stat-mechcond-mat.soft
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渐逝粒子连续时间随机游动的反应-亚扩散和反应-超扩散方程

Reaction-subdiffusion and reaction-superdiffusion equations for evanescent particles performing continuous time random walks

E. Abad, S. B. Yuste, Katja Lindenberg

摘要:

从粒子的连续时间随机行走(CTRW)模型出发,假设粒子在t=0时从r_0开始行走,我们的目标是得到粒子在t时在点r处被发现的概率密度的宏观积分-微分方程。从CTRW到积分微分方程的通道是很好理解的,当粒子不是渐逝的。根据步进时间和距离的分布,可以得到标准的宏观方程,这些方程可以是“正常”的(扩散)或“异常”的(亚扩散和/或超扩散)。如果粒子在行走过程中会死亡,那么宏观描述就变得相当复杂,而且不那么直观。虽然这样的方程是针对特定情况导出的,例如,对于位置无关的指数倏逝,我们提出了一个更一般的推导有效的约束条件下较不严格的比那些发现在目前的文献。

英文摘要:

Starting from a continuous time random walk (CTRW) model of particles that may evanesce as they walk, our goal is to arrive at macroscopic integro-differential equations for the probability density for a particle to be found at point r at time t given that it started its walk from r_0 at time t=0. The passage from the CTRW to an integro-differential equation is well understood when the particles are not evanescent. Depending on the distribution of stepping times and distances, one arrives at standard macroscopic equations that may be "normal" (diffusion) or "anomalous" (subdiffusion and/or superdiffusion). The macroscopic description becomes considerably more complicated and not particularly intuitive if the particles can die during their walk. While such equations have been derived for specific cases, e.g., for location-independent exponential evanescence, we present a more general derivation valid under less stringent constraints than those found in the current literature.

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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