Characterization of sub‐Gaussian heat kernel estimates on strongly recurrent graphs
Characterization of sub‐Gaussian heat kernel estimates on strongly recurrent graphs
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DOI：
10.1002/cpa.20091
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发表时间：
2005-12
影响因子：
3
通讯作者：
M. Barlow;Thierry Coulhoun;T. Kumagai
中科院分区：
文献类型：
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作者：
M. Barlow;Thierry Coulhoun;T. Kumagai
随机游动的次高斯估计是分形图的典型特征。我们的特点是在强经常性的情况下，仅在电阻估计，而不假设椭圆Harnack不等式。© 2005 Wiley Periodicals，Inc.
Sub‐Gaussian estimates for random walks are typical of fractal graphs. We characterize them in the strongly recurrent case, in terms of resistance estimates only, without assuming elliptic Harnack inequalities. © 2005 Wiley Periodicals, Inc.