On Convergence of 1D Markov Diffusions to Heavy-Tailed Invariant Density

O. Manita, A. Veretennikov
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Abstract

Rate of convergence is studied for a diffusion process on the half line with a non-sticky reflection to a heavy-tailed 1D invariant distribution which density on the half line has a polynomial decay at infinity. Starting from a standard receipt which guarantees some polynomial convergence, it is shown how to construct a new non-degenerate diffusion process on the half line which converges to the same invariant measure exponentially fast uniformly with respect to the initial data.
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关于一维马尔可夫扩散对重尾不变密度的收敛性
研究了半线上的扩散过程对重尾1D不变分布的非粘性反射的收敛速度,该分布的密度在无穷远处具有多项式衰减。从保证多项式收敛的标准接收出发,给出了如何在半线上构造一个新的非退化扩散过程,该过程相对于初始数据以指数一致的速度收敛到相同的不变测度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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