Annealed vs Quenched Critical Points for a Random Walk Pinning Model
Matthias Birkner, Rongfeng Sun

TL;DR
This paper investigates the differences between annealed and quenched critical points in a random walk pinning model across various dimensions, revealing dimension-dependent behaviors and implications for related models like the parabolic Anderson model.
Contribution
It demonstrates that in dimensions 1 and 2, the annealed and quenched critical points are both zero, while in dimensions 4 and higher, they differ, using a fractional moment method.
Findings
In dimensions 1 and 2, critical points are both zero.
In dimensions 4 and higher, quenched critical point exceeds annealed.
The method applies to models like the parabolic Anderson and directed polymers.
Abstract
We study a random walk pinning model, where conditioned on a simple random walk Y on Z^d acting as a random medium, the path measure of a second independent simple random walk X up to time t is Gibbs transformed with Hamiltonian -L_t(X,Y), where L_t(X,Y) is the collision local time between X and Y up to time t. This model arises naturally in various contexts, including the study of the parabolic Anderson model with moving catalysts, the parabolic Anderson model with Brownian noise, and the directed polymer model. It falls in the same framework as the pinning and copolymer models, and exhibits a localization-delocalization transition as the inverse temperature \beta varies. We show that in dimensions d=1,2, the annealed and quenched critical values of \beta are both 0, while in dimensions d\geq 4, the quenched critical value of \beta is strictly larger than the annealed critical value…
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