Publication | Open Access
Mixing Time Bounds via the Spectral Profile
72
Citations
13
References
2006
Year
Spectral TheoryHeat KernelEngineeringSpectrum EstimationGibbs MeasureDiscrete MathematicsTimefrequency AnalysisApproximation TheorySpectral ProfilePhysicsModerate GrowthProbability TheorySignal ProcessingGraph TheoryEntropyMarkov KernelSpectral AnalysisPoisson BoundaryMetric Graph Theory
On complete, non-compact manifolds and infinite graphs, Faber-Krahn inequalities have been used to estimate the rate of decay of the heat kernel. We develop this technique in the setting of finite Markov chains, proving upper and lower $L^{\infty}$ mixing time bounds via the spectral profile. This approach lets us recover and refine previous conductance-based bounds of mixing time (including the Morris-Peres result), and in general leads to sharper estimates of convergence rates. We apply this method to several models including groups with moderate growth, the fractal-like Viscek graphs, and the product group $Z_a \times Z_b$, to obtain tight bounds on the corresponding mixing times.
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