Space of Traffics and Asymptotics of Random Spectra – STARS
Random Matrix Theory developed during the last three decades in numerous fields of mathematics and physics. Free Probability Theory (FPT) is adapted for their analysis in large dimension. Operator-valued free probability and Traffic Probability Theory (TPT) are upgrades of FPT appropriate to describe random matrices which are beyond the usual scope of FPT.
This project aims at fostering new directions of research in the fields of FPT and TPT, via the study of random matrices subject to new symmetries and via new applications. We will investigate questions such as the convergence of the spectrum distributions and the understanding of the outliers, in interaction with the invariances of the random matrix models. Fields of application we shall explore include Random Matrix Theory, Lie group theory, signal detection theory and artificial neural networks.
Project coordination
Guillaume Cebron (Institut de Mathématiques de Toulouse)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partner
IMT Institut de Mathématiques de Toulouse
Help of the ANR 180,576 euros
Beginning and duration of the scientific project:
December 2020
- 48 Months