Heat kernel estimates for random walks with degenerate weights
@article{Andres2014HeatKE, title={Heat kernel estimates for random walks with degenerate weights}, author={Sebastian Andres and Jean-Dominique Deuschel and Martin Slowik}, journal={Electronic Journal of Probability}, year={2014}, volume={21} }
We establish Gaussian-type upper bounds on the heat kernel for a continuous-time random walk on a graph with unbounded weights under an ergodicity assumption. For the proof we use Davies' perturbation method, where we show a maximal inequality for the perturbed heat kernel via Moser iteration.
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