paper

Subcritical Gaussian Multiplicative Chaos in the Wiener Space: Construction, Moments and Volume Decay

arXiv:2211.08996

Abstract

We construct and study properties of an infinite dimensional analog of Kahane's theory of Gaussian multiplicative chaos \cite{K85}. Namely, if is a random field defined w.r.t. space-time white noise and integrated w.r.t. Brownian paths in , we consider the renormalized exponential, weighted w.r.t. the Wiener measure . We construct the almost sure limit in the {\it entire weak disorder (subcritical)} regime and call it {\it subcritical GMC} on the Wiener space. We show that $$ μ_γ\Big\{ω: \lim_{T\to\infty} \frac{H_T(ω)}{T(ϕ\starϕ)(0)} \ne γ\Big\}=0 \qquad \mbox{almost surely,} $$ meaning, is supported only on -{\it thick paths}, and consequently, the normalized version is singular w.r.t. the Wiener measure. We characterize uniquely the limit w.r.t. the mollification scheme in the sense of Shamov \cite{S14} and the random {\it rooted} measure . We then determine the fractal properties of the measure around -thick paths: w.r.t a weighted norm . Here and are the uniform upper (resp. pointwise lower) Hölder exponents which are {\it explicit} in the entire weak disorder regime. Moreover, they converge to the scaling exponent of the Wiener measure as the disorder approaches zero. Finally, we establish negative and () moments for the total mass of in the weak disorder regime.

Minor revision,