Intermittency for the stochastic heat and wave equations with generalized fractional noise
Ruxiao Qian
TL;DR
The dissertation investigates intermittency for stochastic heat and wave equations driven by generalized fractional noise, first showing that the Lyapunov exponents for the equation with Dobrić-Ojeda noise coincide with those for standard fractional noise. It then introduces a generalized fractional-noise framework that interpolates between the standard fractional and the DO noise, proving that the Lyapunov exponents depend only on the asymptotic variance order and are insensitive to the noise’s covariance structure in this setting. Methodologically, the work combines Walsh integration for the DO noise, Poisson-process moment representations, and Malliavin-calculus-based analysis for the generalized noise, yielding explicit moment formulas and sharp upper and lower bounds. The results suggest a form of universality: intermittency is governed by the time-variance order, not the precise temporal covariance, with consequences for robustness of intermittent behavior across a broad class of Gaussian noises and potential extensions to related SPDEs.
Abstract
We are looking at the stochastic heat and wave equations with different types of fractional noise. We are interested in the intermittency property and Lyapunov exponent for the solution. First we look at the equation driven by the Dobric-Ojeda noise and we show that the Lyapunov exponent matches that of the equation driven by standard fractional noise as obtained by Hu, Huang, Nualart, Tindel (2015) and Balan, Conus (2016). In the second part, we introduce a generalized fractional noise that includes both standard fractional noise and Dobric-Ojeda noise. It shows that, in this specific situation, the correlation structure of the noise does not change the Lyapunov exponent. We conjecture that this result would hold more generally
