Random matrices and some asymptotics results
Carla Mariana Da Silva Pinheiro
ICMC - University of São Paulo, Larema -Université d’Angers
Date(s) : 02/10/2024 iCal
10h30 - 12h00
Random Matrix Theory arises naturally in a huge range of areas. Big data techniques, nuclear resonance and logarithm gas are some examples of systems that can be modelled by eigenvalues in random matrix ensembles. Consequently, the asymptotic behaviour of such problems can be achieved by studying the eigenvalues in random matrix models.
Aiming to study the asymptotic behaviour of such eigenvalues, the present seminar is divided into two parts. Firstly, we present some applications and standard techniques in RMT. Next, we present briefly some original asymptotic results motivated by the Random Matrix Models.
Acknowledgements: I would like to thank São Paulo Research Foundation (FAPESP) for the financial support to the project, grant #2021/10819-3.
Emplacement
FRUMAM, St Charles (2ème étage)
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