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Singularity and regularity of the critical 2D Stochastic Heat Flow

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arxiv 2504.06128 v2 pith:EWVEDRTS submitted 2025-04-08 math.PR math-phmath.MP

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keywords criticalheatstochasticepsilonflowmeasureregularityshowing
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abstract

The Critical 2D Stochastic Heat Flow (SHF) provides a natural candidate solution to the ill-posed 2D Stochastic Heat Equation with multiplicative space-time white noise. In this paper, we initiate the investigation of the spatial properties of the SHF. We prove that, as a random measure on $\mathbb{R}^2$, it is a.s. singular w.r.t. the Lebesgue measure. This is obtained by probing a "quasi-critical" regime and showing the asymptotic log-normality of the mass assigned to vanishing balls, as the disorder strength is sent to zero at a suitable rate, accompanied by similar results for critical 2D directed polymers. We also describe the regularity of the SHF, showing that it is a.s. H\"older $C^{-\epsilon}$ for any $\epsilon>0$, implying the absence of atoms, and we establish local convergence to zero in the long time limit.

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Cited by 5 Pith papers

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

  1. The critical KPZ scale for the Averaging Process

    math.PR 2026-07 conditional novelty 8.0 of 10

    The averaging process has KPZ critical scale λ=7/8 rather than the moment-criterion value 3/4, with tilted fields converging to the multiplicative SHE of noise 1/√2.

  2. Sharp moment and upper tail asymptotics for the critical $2d$ Stochastic Heat Flow

    math.PR 2025-07 conditional novelty 8.0 of 10

    The h-th moment of the critical 2d Stochastic Heat Flow mass is at least exp(exp(c h)), matching a 1999 prediction and exponentially improving the known lower bound.

  3. Conditional GMC within the stochastic heat flow

    math.PR 2025-07 conditional novelty 8.0 of 10

    The family of polymer measures of the critical 2D stochastic heat flow has a conditional GMC structure: a GMC with noise strength a maps M^theta in law to M^(theta+a).

  4. Extrema of cooling branching Brownian motion and related Gaussian fields

    math.PR 2026-06 unverdicted novelty 7.0 of 10

    Introduces slowed-down Gaussian fields (including 1D branching Brownian motions in cooling environments) and proves tightness of maxima with growth T^{1-α} and phase transition at α=1/3.

  5. 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.

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