Lecture

Uniqueness of Fourier Representations

In course
DEMO: voluptate nisi est anim
Elit aliquip fugiat nostrud ea. Cillum exercitation commodo laborum culpa nostrud deserunt non culpa exercitation anim aliquip. Sit ipsum ex ex reprehenderit. Magna consectetur qui amet esse anim aliqua.
Login to see this section
Description

This lecture delves into the uniqueness of Fourier representations, exploring the extension of Fourier series to continuous functions on the circle. The instructor discusses the concept of approximate identity, introducing the Cesàro means and the Schwartz derivative. Through a detailed proof, the lecture demonstrates that if a function is represented by two different Fourier series, both valid at every point, then the coefficients must be equal. The proof involves controlling the coefficients, showing that they converge to zero. The lecture also touches upon the convergence properties of Fourier series for continuous functions, highlighting the importance of the uniqueness theorem in harmonic analysis. The instructor provides insights into the historical context of the theorem, its implications, and related open questions in the field.

Instructor
et veniam eu
Labore eu labore incididunt consectetur et id sint. Eiusmod eu ipsum cillum exercitation aliqua enim est incididunt qui consectetur exercitation. Eu do incididunt occaecat nulla. Tempor nostrud laborum velit laborum dolore laborum. Aute in ex eu quis consequat fugiat aliqua duis amet. Enim amet eu deserunt fugiat reprehenderit ad excepteur consequat sint dolor ut anim aliqua nisi.
Login to see this section
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related lectures (33)
Signal Representations
Covers matrix operations, Fourier transformations, Gaussian models, and signal representations using algebraic methods.
Fourier Series: Harmonic Analysis
Covers the Fourier series representation of periodic signals and harmonic analysis.
Uniform Convergence of Fourier Series
Covers the concept of uniform convergence of Fourier series and Dirichlet's theorem application.
Fourier Series: Convergence and Coefficients
Explores Fourier series convergence and coefficient calculations through examples and derivations.
Harmonic Analysis: Classical Theory and Fourier Series
Covers classical harmonic analysis on the circle, Fourier series convergence, and applications in PDEs.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.