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The localization transition for the directed polymer in a random environment is smooth

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arxiv 2505.13382 v1 pith:A2EBNYNF submitted 2025-05-19 math.PR math-phmath.MP

classification math.PRmath-phmath.MP
keywords betamathfrakdisordertransitiondirectedinftyphasepolymer
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abstract

When $d\ge 3$, the directed polymer a in random environment on $\mathbb Z^d$ is known to display a phase transition from a diffusive phase, known as \textit{weak disorder} to a localized phase, referred to as \textit{strong disorder}. This transition is encoded by the behavior of the the free energy of the model, defined by $$\mathfrak f(\beta):=\lim_{N\to \infty} (1/n)\log W^{\beta}_n$$ where $W^{\beta}_n$ is the normalized partition function for the directed polymer of length $n$. More precisely weak disorder corresponds to $\mathfrak f(\beta)=0$ and strong disorder to $\mathfrak f(\beta)<0$. Monotonicity and continuity of $\mathfrak f$ implies that there exists $\beta_c\in [0,\infty]$ such that weak disorder is equivalent to $\beta\in [0,\beta_c]$. Furthermore $\beta_c>0$ if and only if $d\ge 3$. We prove that this transition is infinitely smooth in the sense that $\mathfrak f$ grows slower than any power function at the vicinity of $\beta_c$, that is $$ \lim_{\beta \downarrow \beta_c }\frac{\log |\mathfrak f(\beta)|}{\log (\beta-\beta_c)}=\infty.$$

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Dimers with layered disorder

    math.PR 2025-07 conditional novelty 8.0 of 10

    Layered disorder creates an essential singularity in the dimer free energy and modifies the liquid-gas critical exponent continuously.

  2. Enhanced noise sensitivity, 2D directed polymers and Stochastic Heat Flow

    math.PR 2025-07 conditional novelty 7.0 of 10

    A general, rate-optimal BKS noise-sensitivity criterion is proven, and it yields the independence of the critical 2D Stochastic Heat Flow from the disorder white noise.

  3. Random walks in Dirichlet random environment in dimension $d+1$

    cond-mat.stat-mech 2026-07 conditional novelty 6.0 of 10

    For random walks in a Dirichlet random environment, rare-trajectory fluctuations match KPZ exponents in d=1,2, and in d=3 an exact second-moment calculation bounds the disorder transition at v_c ≥ 0.639.

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