Special Session 88: Recent developments in stochastic analysis and related topics

Moments and tails of the Gaussian multiplicative chaos

Yichao Huang
Beijing Institute of Technology
Peoples Rep of China
Co-Author(s):    
Abstract:
The Seiberg bounds form a set of necessary and sufficient conditions under which correlations functions in Liouville conformal field theory are well-defined. Since the probabilistic construction of Liouville correlations functions by David, Kupiainen, Rhodes and Vargas, a probabilistic version of the Seiberg bounds can be obtained via the theory of Gaussian Multiplicative Chaos. We will give a brief review on this construction, and then explain its boundary version, where a new class of Gaussian Multiplicative Chaos emerges naturally. We will discuss finer estimates on the right tail of the Gaussian multiplicative chaos measures if time permits.