Moment Intermittency in the PAM with Asymptotically Singular Noise
Pierre Yves Gaudreau Lamarre, Promit Ghosal, Yuchen Liao

TL;DR
This paper investigates the asymptotic behavior of moments in the parabolic Anderson model driven by singular Gaussian noises, revealing new insights into intermittency, moment blowup, and the role of variational maximizers across different noise regimes.
Contribution
It introduces a unified approach to analyze PAM moments with regular and singular noises, extending known results and studying the properties of Hartree ground states with fractional kernels.
Findings
Extended large-time moment asymptotics for subcritical noise.
Provided new interpretation of moment blowup in critical/supercritical cases.
Proved existence and properties of Hartree ground states with fractional kernels.
Abstract
Let be a singular Gaussian noise on that is either white, fractional, or with the Riesz covariance kernel; in particular, there exists a scaling parameter such that is equal in distribution to for all . Let be a sequence of smooth mollifications such that as . We study the asymptotics of the moments of the parabolic Anderson model (PAM) with noise as , both for large (i.e., ) and fixed times . This approach makes it possible to study the moments of the PAM with regular and singular noises in a unified fashion, as well as interpolate between the two settings. As corollaries of our main results, we obtain the following: When is subcritical (i.e., ), our results…
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Stochastic processes and financial applications · Random Matrices and Applications
