LocalSub-Gaussian Estimates on Graphs: The Strongly Recurrent Case
LocalSub-Gaussian Estimates on Graphs: The Strongly Recurrent Case
复制标题
图的局部亚高斯估计：强循环情况
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
A. Telcs
中科院分区：
文献类型：
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作者：
A. Telcs
在充分必要条件下，证明了强循环随机漫步的上、下非对角线、亚高斯转移概率估计。给出了几个等价条件，说明了它们对亚高斯估计、抛物型和椭圆型哈纳克不等式之间的联系的特殊作用和影响。
This paper proves upper and lower off-diagonal, sub-Gaussian transition probabilities estimates for strongly recurrent random walks under sufficient and necessary conditions. Several equivalent conditions are given showing their particular role and influence on the connection between the sub-Gaussian estimates, parabolic and elliptic Harnack inequality.