Three faces of random walks in hyperbolic domain: BKT, Lifshitz tails, and KPZ
Daniil Fedotov, Sergei Nechaev

TL;DR
This paper reveals how random walks in hyperbolic space unify phenomena like BKT transition, KPZ scaling, and Lifshitz tails through analytic, scaling, and numerical methods, highlighting their interconnected nature.
Contribution
It introduces a unified framework linking BKT, KPZ, and Lifshitz tails via hyperbolic diffusion, adapting RG equations and large-deviation analysis.
Findings
Derives BKT divergence of correlation length in hyperbolic diffusion.
Shows KPZ scaling governs large-deviation behavior near boundaries.
Reproduces Lifshitz tails in rare-event statistics using instanton methods.
Abstract
We show that continuous random walks (diffusion) in the Poincar\'{e} hyperbolic upper halfplane , interpreted as multiplicative stochastic processes with log-normal statistics, provide a unifying framework linking three seemingly unrelated phenomena: (i) the non-analytic divergence of corrrelation length at the Berezinskii-Kosterlitz-Thouless (BKT) transition; (ii) the appearence of the Kardar-Parisi-Zhang 9KPZ) exponent in the fluctuational behavior of stretched random walks constrained above an impermeable disc; and (iii) the emergence of Lifshitz tails in one-dimensional statistics of rare events. Combining scaling arguments with analytic derivations and numerical analysis, we adapt the renormalization-group equations originally developed for the Efimov effect in a two-dimensional conformally invariant potential to the case of diffusion in ,…
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Taxonomy
Topicsstochastic dynamics and bifurcation · Theoretical and Computational Physics · Diffusion and Search Dynamics
