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The Green's function of the parabolic Anderson model and the continuum directed polymer

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arxiv 2208.11255 v2 pith:SAS3I25L submitted 2022-08-24 math.PR

classification math.PR
keywords betainitialmathbbinftypolymerandersonconditionscontinuum
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abstract

We build a regular version of the field $Z_{\beta}(t,x|s,y)$ which describes the Green's function, or fundamental solution, of the parabolic Anderson model (PAM) with white noise forcing on $\mathbb{R}^{1+1}$: $\partial_t Z_{\beta}(t,x | s,y) =$ $\frac{1}{2}\partial_{xx} Z_{\beta}(t,x|s,y) + \beta Z_{\beta}(t,x | s,y)W(t,x)$, $Z_{\beta}(s,x | s,y) = \delta(x-y)$ for all $-\infty < s \leq t < \infty$, all $x,y \in \mathbb{R}$, and all $\beta \in \mathbb{R}$ simultaneously. Through the superposition principle, our construction gives a pointwise coupling of all solutions to the PAM with initial or terminal conditions satisfying sharp growth assumptions, for all initial and terminal times. Using this coupling, we show that the PAM with a (sub-)exponentially growing initial condition admits conserved quantities given by the limits $\displaystyle \lim_{x\to \pm\infty} x^{-1}\log Z_{\beta}(t,x)$, in addition to proving many new basic properties of solutions to the PAM with general initial conditions. These properties are then connected to the existence, regularity, and continuity of the quenched continuum polymer measures. Through the polymer connection, we also show that the kernel $(x,y) \mapsto Z_{\beta}(t,x | s,y)$ is strictly totally positive for all $t>s$ and $\beta\in \mathbb{R}$.

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Cited by 3 Pith papers

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  1. Temperature chaos in directed polymers

    math.PR 2026-07 conditional novelty 8.0 of 10

    For beta1 = o(beta2) both tending to infinity, coupled CDRP free energies at beta1 and beta2 converge to two independent directed landscapes; as a byproduct, the directed landscape is a two-dimensional black noise.

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    math.PR 2025-06 accept novelty 8.0 of 10

    For fixed t>0, Cov[h(t,x),h(t,0)] ∼ t/x as x→∞, and the spatial average over [0,N] normalized by sqrt(N log N) converges to sqrt(2) times Brownian motion.

  3. Gaussian fluctuations for the parabolic Anderson model with L\'evy white noise

    math.PR 2026-07 accept novelty 7.0 of 10

    Spatial averages of the 1D parabolic Anderson model with finite-variance Lévy white noise satisfy a quantitative CLT with rate R^{-(1-1/p)} and a functional CLT in the Skorohod space.

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