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SUMMARY:Large Deviations for the Largest Eigenvalue of Gaussian Kronecker 
 Random Matrices
DTSTART:20260108T130000Z
DTEND:20260108T140000Z
DTSTAMP:20260504T073300Z
UID:indico-event-15353@indico.math.cnrs.fr
DESCRIPTION:Speakers: Jana Reker\n\nWe consider Gaussian Kronecker random 
 matrices of the form $X^{(N)}:=\\sum_{j=1}^k A_j\\otimes W_j+A_0\\otimes I
 d$\, where $A_0\, ...\, A_k$ are real symmetric (resp. complex Hermitian) 
 deterministic $L\\times L$ matrices\, $W_1\, ...\, W_k$ are sampled indepe
 ndently from the GOE (resp. GUE) of size $N\\times N$\, and Id denotes ide
 ntity. In this setting\, we show a large deviations principle for the larg
 est eigenvalue in the regime where the dimension of the Gaussian matrices 
 goes to infinity. The talk is based on joint work with A. Guionnet and J. 
 Husson.\n\nhttps://indico.math.cnrs.fr/event/15353/
LOCATION:435 (ENS de Lyon)
URL:https://indico.math.cnrs.fr/event/15353/
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