Explore the intricacies of the KPZ equation's lower tail asymptotics in this 35-minute lecture by Mattia CAFASSO from the University of Angers, France. Delivered as part of the School and Workshop on Random Matrix Theory and Point Processes, delve into key topics including introduction, motivation, proof techniques, fixed realization, harmonic assumption, simultaneous reconstruction, generalization, and dense assumption. Gain insights into natural problems arising from this study and conclude with a comprehensive overview of the subject matter.
Overview
Syllabus
Introduction
Motivation
Proof
Fixed realization
Harmonic assumption
Simultaneous reconstruction
Generalization
More dense assumption
Natural problems
Conclusion
Taught by
ICTP Mathematics