Short- and long-time path tightness of the continuum directed random polymer
Sayan Das, Weitao Zhu

TL;DR
This paper studies the behavior of the continuum directed random polymer model at short and long times, showing convergence to Brownian bridges and geodesics of the directed landscape, with tightness and fluctuation results.
Contribution
It provides the first rigorous analysis of the path tightness and fluctuation exponents for the continuum directed random polymer at different time scales.
Findings
Short-time law converges to Brownian bridge.
Long-time fluctuations follow a 2/3 exponent.
Path measures are tight under diffusive and 2/3 scaling.
Abstract
We consider the point-to-point continuum directed random polymer () model that arises as a scaling limit from dimensional directed polymers in the intermediate disorder regime. We show that the annealed law of a point-to-point of length converges to the Brownian bridge under diffusive scaling when . In case that is large, we show that the transversal fluctuations of point-to-point are governed by the exponent. More precisely, as tends to infinity, we prove tightness of the annealed path measures of point-to-point of length upon scaling the length by and fluctuations of paths by . The exponent is tight such that the one-point distribution of the rescaled paths converges to the geodesics of the directed landscape. This point-wise convergence can be enhanced to…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
