Critical points of quadratic renormalizations of random variables and phase transitions of disordered polymer models on diamond lattices
Cecile Monthus, Thomas Garel

TL;DR
This paper investigates phase transitions in disordered polymer models on diamond lattices, revealing critical points characterized by power-law tail distributions and analyzing the associated correlation length exponents.
Contribution
It introduces a detailed analysis of the critical points via quadratic renormalizations, highlighting the role of broad distribution tails in phase transition behavior.
Findings
Critical points have power-law tail distributions with divergent moments.
The wetting transition occurs with an infinite first moment, below the annealed temperature.
The directed polymer transition features a divergent second moment, below the known transition temperature.
Abstract
We study the wetting transition and the directed polymer delocalization transition on diamond hierarchical lattices.These two phase transitions with frozen disorder correspond to the critical points of quadratic renormalizations of the partition function.(These exact renormalizations on diamond lattices can also be considered as approximate Migdal-Kadanoff renormalizations for hypercubic lattices). In terms of the rescaled partition function ,we find that the critical point corresponds to a fixed point distribution with a power-law tail as (up to some sub-leading logarithmic correction ), so that all moments with diverge. For the wetting transition, the first moment diverges (case ), and the critical temperature is strictly below the annealed temperature…
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