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1
Introduction
2
The circle method
3
Fourier analysis
4
Major and minor arcs
5
Problems with the circle method
6
Higher order Fourier analysis
7
Complexity
8
Identity
9
Revisiting the circle method
10
Finding the complexity of the problem
11
The lambda3 form
12
The inverse theorem
13
Proof by identities
14
Generalized nominal inequality
15
U2 identity
16
Structure theorem
17
Equidistribution theorem
18
Integer part operation
19
Bracket quadratic analysis
20
Equidistant theory
21
Heisenberg manifold
22
Group theory
23
Densification
Description:
Explore higher order Fourier analysis in this comprehensive lecture by Terence Tao at the Hausdorff Center for Mathematics. Delve into the intricacies of controlling multilinear averages that are beyond the reach of conventional linear Fourier analysis methods. Discover how nilsequences replace linear phase functions in this advanced theory. Gain insights into revisiting the linear circle method from a higher order perspective, with a focus on downplaying the role of Fourier identities. Learn about major and minor arcs, the complexity of problems, the lambda3 form, inverse theorems, and generalized nominal inequalities. Investigate U2 identity, structure theorems, equidistribution theory, and bracket quadratic analysis. Explore connections to group theory, the Heisenberg manifold, and densification techniques in this hour-long, in-depth exploration of advanced mathematical concepts.

Terence Tao- The Circle Method from the Perspective of Higher Order Fourier Analysis

Hausdorff Center for Mathematics
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