Strong Convergence for Tensor GUE Random Matrices
Centre International de Rencontres Mathématiques via YouTube
Get 20% off all career paths from fullstack to AI
AI, Data Science & Cloud Certificates from Google, IBM & Meta
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore a 39-minute conference talk on strong convergence for tensor GUE random matrices presented by Wangjun Yuan at the Centre International de Rencontres Mathématiques in Marseille, France. Recorded during the thematic meeting "Random quantum channels: entanglement and entropies" on July 8, 2024, this presentation delves into advanced mathematical concepts. Access this video and other talks by renowned mathematicians through CIRM's Audiovisual Mathematics Library, featuring chapter markers, keywords, enriched content with abstracts and bibliographies, and a multi-criteria search function for easy navigation and comprehensive learning.
Syllabus
Wangjun Yuan: Strong convergence for tensor GUE random matrices
Taught by
Centre International de Rencontres Mathématiques