Subdiffusive heat-kernel decay in four-dimensional i.i.d. random conductance models

Details Subdiffusive heat-kernel decay in four-dimensional i.i.d. random conductance models Subdiffusive heat-kernel decay in four-dimensional i.i.d. random conductance models

2010-10-27

arxiv.org/abs/1010.5542v2

Mathematics

Probability

28 pages, version to appear in J. Lond. Math. Soc

Scientific paper

We study the diagonal heat-kernel decay for the four-dimensional nearest-neighbor random walk (on $\Z^4$) 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 $\cmss P_\omega^{2n}(0,0)$ after $2n$ steps is at most $C(\omega) n^{-2} \log n$, but the best lower bound till now has been $C(\omega) n^{-2}$. Here we will show that the $\log n$ term marks a real phenomenon by constructing an environment, for each sequence $\lambda_n\to\infty$, such that $$ \cmss P_\omega^{2n}(0,0)\ge C(\omega)\log(n)n^{-2}/\lambda_n, $$ with $C(\omega)>0$ a.s., along a deterministic subsequence of $n$'s. Notably, this holds simultaneously with a (non-degenerate) quenched invariance principle. As for the $d\ge5$ 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.

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