Renormalizing the Kardar-Parisi-Zhang equation in $d\ge 3$ in weak disorder

Abstract

We study Kardar-Parisi-Zhang equation in spatial dimension 3 or larger driven by a Gaussian space-time white noise with a small convolution in space. When the noise intensity is small, it is known that the solutions converge to a random limit as the smoothing parameter is turned off. We identify this limit, in the case of general initial conditions ranging from flat to droplet. We provide strong approximations of the solution which obey exactly the limit law. We prove that this limit has sub-Gaussian lower tails, implying existence of all negative (and positive) moments.

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• The Continuum Directed Random Polymer
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• Efimov effect at the Kardar-Parisi-Zhang roughening transition
• The domino shuffling algorithm and Anisotropic KPZ stochastic growth
• Local KPZ behavior under arbitrary scaling limits
• Mesoscopic averaging of the two-dimensional KPZ equation