Quasisymmetric uniformization and heat kernel estimates
classification
🧮 math.PR
math.MG
keywords
estimatesheatkernelquasisymmetricsub-gaussiancircledimensionembedding
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We show that the circle packing embedding in $\mathbb{R}^2$ of a one-ended, planar triangulation with polynomial growth is quasisymmetric if and only if the simple random walk on the graph satisfies sub-Gaussian heat kernel estimate with spectral dimension two. Our main results provide a new family of graphs and fractals that satisfy sub-Gaussian estimates and Harnack inequalities.
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