Two-sided estimates of heat kernels on metric measure spaces
Alexander Grigor'yan, Andras Telcs

TL;DR
This paper establishes conditions under which heat kernels on metric measure spaces satisfy two-sided sub-Gaussian estimates, advancing understanding of heat distribution in complex geometric contexts.
Contribution
It provides new equivalent conditions for two-sided sub-Gaussian heat kernel estimates on metric measure spaces.
Findings
Derived necessary and sufficient conditions for heat kernel estimates
Unified framework for sub-Gaussian heat kernel bounds
Applicable to a broad class of metric measure spaces
Abstract
We prove equivalent conditions for two-sided sub-Gaussian estimates of heat kernels on metric measure spaces.
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