Subdiffusive heat-kernel decay in four-dimensional i.i.d. random conductance models
arXiv:1010.5542 · doi:10.1112/jlms/jds012
Abstract
We study the diagonal heat-kernel decay for the four-dimensional nearest-neighbor random walk (on ) among i.i.d. random conductances that are positive, bounded from above but can have arbitrarily heavy tails at zero. It has been known that the quenched return probability $\cmss P_ω^{2n}(0,0)$ after steps is at most , but the best lower bound till now has been . Here we will show that the term marks a real phenomenon by constructing an environment, for each sequence , such that $$ \cmss P_ω^{2n}(0,0)\ge C(ω)\log(n)n^{-2}/λ_n, $$ with a.s., along a deterministic subsequence of 's. Notably, this holds simultaneously with a (non-degenerate) quenched invariance principle. As for the cases studied earlier, the source of the anomalous decay is a trapping phenomenon although the contribution is in this case collected from a whole range of spatial scales.
28 pages, version to appear in J. Lond. Math. Soc
References in corpus (3)
Cited by in corpus (8)
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- Lower Gaussian heat kernel bounds for the Random Conductance Model in a degenerate ergodic environment
- Quenched Invariance Principle for a class of random conductance models with long-range jumps
- Trapping in the random conductance model
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