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hand the auxiliary results leading to Theorem 2.1 can be employed to obtain results on the optimal speed of the random walk under the random potential ξ (see Corollary 2.3
Let us finally mention that while the results on the harmonic measure of Section 4.2 and 4.3 will be needed both in section 6 and 7, Corollary 4.3 of Section 4.1 will be crucial for
One can obtain a new proof of the homogenization result (1.4) from proposition 2.1 by using the fact that Ψ is square integrable on Ω and applying the von Neumann ergodic theorem..
We prove an almost sure limit theorem on the exact convergence rate of the maximum of standardized gaussian random walk increments.. On a conjecture of R´
We calculate the mean and almost-sure leading order behaviour of the high frequency asymp- totics of the eigenvalue counting function associated with the natural Dirichlet form on
As a corollary thereof, we obtain an integral equation for the modified Laplace transform of the Virgin Island Model in Lemma 5.3 which is the key equation for our proof of
Keywords: Random matrix, concentration of measure, empirical distribution,
Remark 24 Recall that to prove Proposition 8, we used Proposition 1 to establish the fact that if there is a coalescent process satisfying conditions B1 and B2 of Theorem 2, then