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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

classification math.PRmath-phmath.MP
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 7 Pith papers

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

  1. Logarithmic intermittency of the critical 2D SHF

    math.PR 2026-08 conditional novelty 8.0 of 10

    For the critical 2D stochastic heat flow, the minimal number of ε-balls carrying almost all mass is ε^{-2}(log 1/ε)^{-1/2+o(1)}, with the complementary sparsity bound holding simultaneously.

  2. 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.

  3. 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.

  4. 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).

  5. 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.

  6. 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.

  7. Stochastic heat flow is a black noise

    math.PR 2025-06 accept novelty 7.0 of 10

    The stochastic heat flow is a black noise, meaning its linear random-variable space is trivial, and consequently the critical 2d SHE is asymptotically independent of its mollified driving noise.

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