×

An elementary approach to Gaussian multiplicative chaos. (English) Zbl 1365.60035

Summary: A completely elementary and self-contained proof of convergence of Gaussian multiplicative chaos is given. The argument shows further that the limiting random measure is nontrivial in the entire subcritical phase \((\gamma < \sqrt{2d})\) and that the limit is universal (i.e., the limiting measure is independent of the regularisation of the underlying field).

MSC:

60G15 Gaussian processes
60G60 Random fields
60F99 Limit theorems in probability theory
60G57 Random measures
60K37 Processes in random environments
60J67 Stochastic (Schramm-)Loewner evolution (SLE)
60J65 Brownian motion