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MIT OpenCourseWare

Projection Theory - Spring 2025

MIT OpenCourseWare via YouTube

Overview

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Explore the mathematical theory of projections in Euclidean space through this comprehensive graduate-level course taught by Professor Lawrence D. Guth at MIT. Delve into the fundamental question of how geometric objects relate to their shadows when projected onto various subspaces, examining whether concentrated projections indicate concentration in the original object. Master key concepts including the exceptional set problem, a central challenge in projection theory that was recently solved in 2024 by Orponen-Shmerkin-Ren-Wang after being open since the 1960s. Study the connections between projection theory and diverse mathematical fields including number theory, homogeneous dynamics, harmonic analysis, and combinatorics. Learn fundamental methods such as the Fourier method, the large sieve technique, and smoothing applications. Investigate classical results including the Szemeredi-Trotter theorem, sum-product theory, and the Bourgain-Katz-Tao projection theorem. Examine advanced topics like random walks on finite groups, homogeneous dynamics, and sharp projection theorems including Beck's theorem and AD regular cases. Gain insight into recent breakthrough developments and understand how projection theory serves as a bridge connecting geometry, analysis, and number theory through the study of shadows and their relationship to original mathematical objects.

Syllabus

Lecture 01: Introduction to Projection Theory
Lecture 02: Fundamental Methods of Projection Theory
Lecture 03: Projection Theory in Euclidean Space
Lecture 04: The Fourier Method in Euclidean Space
Lecture 05: The Large Sieve
Lecture 06: Projections and Smoothing
Lecture 07: Applications of the Large Sieve to Number Theory
Lecture 08: The Szemeredi-Trotter Theorem
Lecture 09: Reflections on the Szemeredi-Trotter Theorem
Lecture 10: Sum-Product Theory
Lecture 11: Contagious Structure in Projection Theory
Lecture 12: The Bourgain-Katz-Tao Projection Theorem
Lecture 13: The Balog-Szemeredi-Gowers Theorem
Lecture 14: The Bourgain Projection Theorem Part 1 (over the Real Numbers)
Lecture 15: The Bourgain Projection Theorem, Part 2
Lecture 16: The Bourgain Projection Theorem, Part 3
Lecture 17: Random Walks on Finite Groups, Part 1
Lecture 18: Random Walks on Finite Groups, Part 2
Lecture 19: Random Walks on Finite Groups, Part 3
Lecture 20: Homogeneous Dynamics, Part 1
Lecture 21: Homogeneous Dynamics, Part 2
Lecture 22: Sharp Projection Theorems, Part 1: Introduction and Beck's Theorem.
Lecture 23: Sharp Projection Theorems, Part 2: AD Regular Case
Lecture 24: Sharp Projection Theorems, Part 3: Combining Different Scales

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