Heat kernel estimates for symmetric random walks on a class of fractal graphs and stability under rough isometries

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Characterization of sub‐Gaussian heat kernel estimates on strongly recurrent graphs (2005, background): “2), and a condition, denoted C CS C β D;D , requiring the existence of suitable families of cut-off functions; these two conditions are known to be invariant under rough isometry (see [34]).”