Abstract:
The extreme value theory for Gaussian logarithmically correlated fields has emerged in the last decade as a powerful tool in the analysis of interface models, quantum gravity, random matrices, PDEs, random matrices and in a myriad of other applications. The two dimensional Gaussian free field (and its discrete analogue) is an important motivating example of such a field. In this lecture, I will describe the relation and differences between the extreme value theory for i.i.d. variables and that for Gaussian-LCFs, and discuss a sample of non-Gaussian examples.
Zoom Link:
https://us02web.zoom.us/j/86086663267?pwd=ZzRBNTI0bUIzTU9ReHVtdlhXblljZz09
ID riunione: 860 8666 3267
Codice d’accesso: 965677