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Remarks on the Discrete Cube

Offered By: Simons Institute via YouTube

Tags

Geometry Courses Probability Courses Fourier Analysis Courses Random Walks Courses

Course Description

Overview

Explore the intricacies of the discrete cube in this illuminating lecture by Ramon van Handel from Princeton University. Delve into methods of Fourier analysis, the Poisson inequality, and interpolation techniques as they apply to this fundamental mathematical structure. Gain insights into random walks on the discrete cube and follow a comprehensive proof that ties these concepts together. Part of the "Probability, Geometry, and Computation in High Dimensions Boot Camp" series, this talk offers a deep dive into advanced mathematical concepts with applications in high-dimensional probability and geometry.

Syllabus

Introduction
The Discrete Cube
Methods of Fourier Analysis
Poisson Inequality
Interpolation Method
Random Walk
Proof


Taught by

Simons Institute

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