A New Approach to Strong Convergence - Lecture 1
Offered By: Institute for Advanced Study via YouTube
Course Description
Overview
Explore a groundbreaking seminar on strong convergence in graph theory and random matrices. Delve into Ramon Van Handel's innovative approach to addressing Alon's conjecture and Friedman's theorem. Discover how soft arguments can lead to powerful results in understanding spectral gaps of random regular graphs. Learn about the implications of this new methodology for large deviation probabilities and high-dimensional representations of symmetric and classical groups. Gain insights into the connections between random graphs, geometry, and operator algebras. Understand the significance of this work in advancing computer science and discrete mathematics research.
Syllabus
A New Approach to Strong Convergence - Ramon Van Handel
Taught by
Institute for Advanced Study
Related Courses
Graph Partitioning and ExpandersStanford University via NovoEd Spectral Aspects of Symmetric Matrix Signings
Simons Institute via YouTube Theory Seminar - Algorithms and Hardness for Linear Algebra on Geometric Graphs, Aaron Schild
Paul G. Allen School via YouTube Spectral Graph Theory - Eigenvalues at CMU - Lecture 15a of CS Theory Toolkit
Ryan O'Donnell via YouTube Spectral Graph Theory - Minimizing/Maximizing the Quadratic Form
Ryan O'Donnell via YouTube