The Sokoban Random Walk: A Trapping Perspective
Prashant Singh, Eli Barkai, David A Kessler

TL;DR
This paper investigates trapping phenomena in Sokoban-like models, revealing universal long-time decay behaviors and a nonmonotonic trap size dependence on obstacle density through theoretical analysis and numerical simulations.
Contribution
It introduces a trapping perspective to Sokoban models, deriving universal decay exponents and analyzing trap size behavior, extending classical trapping theory to these disordered systems.
Findings
Long-time decay follows a stretched-exponential form with exponent 1/3 in 1D and 1/2 in 2D.
Survival probability exhibits crossover from exponential to stretched-exponential decay.
Mean trap size peaks at a characteristic obstacle density, indicating nonmonotonic behavior.
Abstract
We study caging/trapping in Sokoban-type models, featuring a random walker moving through a disordered medium of obstacles and capable of pushing some obstacles blocking its path. In one-dimension, we allow the walker to push up to an arbitrary number of obstacles. For , we use large-deviation theory to show that the survival probability to remain uncaged exhibits crossover from an exponential decay with time at intermediate times to a stretched-exponential decay at long times, with an exponent independent of . The long-time exponent matches the Balagurov--Vaks--Donsker--Varadhan (BVDV) theory of the classical trapping problem, while the exponential decay is qualitatively distinct from the Rosenstock's intermediate-time theory for classical trapping. Similarly, in two dimensions, numerical simulations reveal that both the Sokoban model and…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · stochastic dynamics and bifurcation
