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- W2276451215 abstract "Sub-Gaussian estimates for the natural random walk is typical of many regular fractal graphs. Subordination shows that there exist heavy tailed jump processes whose jump indices are greater than or equal to two. However, the existing machinery used to prove heat kernel bounds for such heavy tailed random walks fail in this case. In this work we extend Davies' perturbation method to obtain transition probability bounds for these anomalous heavy tailed random walks. We prove global upper and lower bounds on the transition probability density that are sharp up to constants. An important feature of our work is that the methods we develop are robust to small perturbations of the symmetric jump kernel." @default.
- W2276451215 created "2016-06-24" @default.
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- W2276451215 date "2015-12-08" @default.
- W2276451215 modified "2023-09-27" @default.
- W2276451215 title "Heat kernel estimates for anomalous heavy-tailed random walks" @default.
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