High points of a random model of the Riemann-zeta function and Gaussian multiplicative chaos
Autor: | Arguin, Louis-Pierre, Hartung, Lisa, Kistler, Nicola |
---|---|
Rok vydání: | 2019 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | We study the total mass of high points in a random model for the Riemann-Zeta function. We consider the same model as in [8], [2], and build on the convergence to 'Gaussian' multiplicative chaos proved in [14]. We show that the total mass of points which are a linear order below the maximum divided by their expectation converges almost surely to the Gaussian multiplicative chaos of the approximating Gaussian process times a random function. We use the second moment method together with a branching approximation to establish this convergence. Comment: 13 pages; missing sentence has been added to the arXiv abstract, pdf file has not changed |
Databáze: | arXiv |
Externí odkaz: |