Harmonic Analysis (MAE718): Διαφορά μεταξύ των αναθεωρήσεων

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[[Undergraduate Courses Outlines]] - [https://math.uoi.gr  Department of Mathematics]
=== General ===
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Αναθεώρηση της 08:06, 2 Ιουλίου 2022

Undergraduate Courses Outlines - Department of Mathematics

General

School

School of Science

Academic Unit

Department of Mathematics

Level of Studies

Undergraduate

Course Code

MAE718

Semester

7

Course Title

Harmonic Analysis

Independent Teaching Activities

Lectures (Weekly Teaching Hours: 3, Credits: 6)

Course Type

Special Background

Prerequisite Courses -
Language of Instruction and Examinations

Greek

Is the Course Offered to Erasmus Students

Yes (In English)

Course Website (URL) -

Learning Outcomes

Learning outcomes

The aim of the course is the achievement by the undergraduate student of the theoretical background in the theory of Fourier series

General Competences

The objective of the course is the undergraduate student's ability achievement in analysis and synthesis of the basic background in Harmonic Analysis.

Syllabus

Trigonometric polynomials, partial sums of the Fourier series of a function and -estimates, Bessel's inequality, Lemma Riemann-Lebesgue, Parseval's identity for Riemann integrable functions on , complex Riemann integrable functions defined on an interval, Fourier coefficients and Fourier series, the Dirichlet kernel, criteria for uniform convergence of the Fourier series, convolution of functions and approximations to the identity, Fejer kernel, theorem of Fejer, Poisson kernel, Abel summability of the Fourier series, applications.

Teaching and Learning Methods - Evaluation

Delivery

Face-to-face

Use of Information and Communications Technology -
Teaching Methods
Activity Semester Workload
Lectures 39
Independent study 78
Exercises solutions 33
Course total 150
Student Performance Evaluation

Written examination at the end of the semester.

Attached Bibliography

  • Yitzhak Katznelson, An Introduction to Harmonic Analysis, Dover Edition.
  • Elias M. Stein, Rami Shakarchi, Fourier Analysis, An Introduction, Princeton University Press.