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arXiv 0909.3385math.PR
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一个动力学方程到分数阶扩散方程的收敛性

Convergence of a kinetic equation to a fractional diffusion equation

Giada Basile, Anton Bovier

摘要:

线性Boltzmann方程被解释为马尔可夫过程(K(t),Y(t))的概率密度的向前方程,其中K(t)是一个自治的可逆跳跃过程,两个跳跃之间的等待时间具有有限的期望值和无穷大的方差,而Y(t)是K(t)的一个可加泛函.我们证明了在适当的重标度下,过程Y按分布收敛于Levy过程,且稳定指数为3/2。此外,线性Boltzmann方程的解收敛于分数阶扩散方程的解。

英文摘要:

A linear Boltzmann equation is interpreted as the forward equation for the probability density of a Markov process (K(t), Y(t)), where K(t) is a autonomous reversible jump process, with waiting times between two jumps with finite expectation value but infinite variance, while Y(t) is an additive functional of K(t). We prove that under a suitable rescaling the process Y converges in distribution to a Levy process, stable with index 3/2. Moreover, the solution of the linear Boltzmann equation converges to the solution of a fractional diffusion equation.

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