National Taiwan Normal University Course Outline
Fall , 2025

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I.Course information
Serial No. 2601 Course Level Master / PhD
Course Code MAC8039 Chinese Course Name 調和分析
Course Name Harmonic Analysis
Department Department of Mathematics
Two/one semester 1 Req. / Sel. Sel.
Credits 3.0 Lecturing hours Lecture hours: 3
Prerequisite Course ◎1. This is a cross-level course and is available for junior and senior undergraduate students, master's students and PhD students. 2. If the listed course is a doctroal level course, it is only available for master's students and PhD students.
Comment
Course Description
Day & Class Period/Location Wed. 2-3 Gongguan M210, Thur. 8 Gongguan M210
Curriculum Goals Corresponding to the Departmental Core Goal
1. Basic Proficiency in Harmonic Analysis Master:
 1-1 Equipped with professional mathematics competences
Doctor:
 1-1 Equipped with professional mathematics competences
2. Ability to Solve Exercises in Harmonic Analysis Master:
 1-3 Being able to think mathematically and critically
Doctor:
 1-3 Being able to think mathematically and critically
3. Collaborative Homework Master:
 3-3 Being willing to work collaboratively
Doctor:
 3-3 Being willing to work collaboratively
4. Individual Exams with Exercises to Test Understanding of Theory Master:
 3-2 Possessing the abilities to think independently, criticize, and reflect
Doctor:
 3-2 Possessing the abilities to think independently, criticize, and reflect

II. General Syllabus
Instructor(s) Daniel Spector/ 司靈得
Schedule

This course is a first year graduate level course in harmonic analysis.  We assume familiarity with the construction of the Lebesgue integral and cover select topics from Grafakos’ Classical Fourier Analysis Book:  Lp and Weak Lp Spaces; Interpolation; Convolution and Approximate Identities; Lorentz Spaces; Maximal Functions; Fourier Transform; Distributions; Fourier Series; Singular Integrals of Convolution Type; Littlewood-Paley Theory and Multipliers; Weighted Inequalities.


Week 1:  Weak Lp and the Distribution Function (p.1-10)

Week 2:  Convolution and Approximate Identities (p.16-28)

Week 3-4:  Real and Complex Interpolation (p.30-39)

Week 5:  Lorentz Spaces (p. 44-63)

Week 6:  Maximal Functions (p.77-89)

Week 7-8:  The Fourier Transform (p.94-106)

Week 9:  Tempered Distributions (p.109-122)

Week 10:  Laplacian and Riesz Potentials (p.124-133)

Week 11:  Fourier Multipliers (p. 135-143)

Week 12-14:  Singular Integrals (p. 249-297)

Week 15-16:  Littlewood-Paley Theory (p.341-371)


Instructional Approach
Methods Notes
Formal lecture  
Grading assessment
Methods Percentage Notes
Assignments 20 %  
Midterm Exam 20 %  
Final exam 20 %  
Class discussion involvement 20 %  
Attendances 20 %  
Required and Recommended Texts/Readings with References Grafakos’Classical Fourier Analysis

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