Analytic Number Theory (MATH630) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Analytic Number Theory MATH630 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The main goal in Analytic number theory is to study number theory using analytic tools. In this course ultimate goal will be studying primes and questions related with prime numbers, such as: what is the size of nth prime?, How fast the sum of reciprocals of prime diverges to infinity?, How many primes are there less than a given magnitude?, Is there always a prime between n and 2n? What is the relation between prime numbers and Riemann zeta function? In doing so, students will see the use of analysis (mostly complex) and algebra in different contexts.
Course Learning Outcomes The students who succeeded in this course;
  • will be able to use the method of Partial Summation and replace sums by integrals
  • will be able to construct new arithmetical functions using Dirichlet convolution
  • will be able to evaluate average values of well known arithmetic functions and use the Convolution Method to estimate sums of arithmetic functions
  • will be able use Dirichlet Characters and use the bounds of Gauss sums and Sums mixed with Dirichlet characters
  • will be able to utilise the correspondence between the product of Dirichlet series and convolution of arithmetic functions
  • will be acquainted with analytic properties of the Riemann zeta function, such as meromorphic continuation to all complex plane and the number of zeroes in the critical strip
  • will have seen various ways to proof of the Prime Number Theorem using different methods such as complex analysis and Fourier analysis
  • will have seen various ways to proof of the Prime Number Theorem using different methods such as complex analysis and Fourier analysis,
Course Content Arithmetical functions, Euler?s and Abel?s summation, Dirichlet convolution, some elementary functions concerning primes, Riemann Zeta function and Dirichlet L-functions, primes in arithmetic progressions.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Greatest common divisors, The Euclidean Algorithm, Congruences, T.Apostol - Chapter 1
2 The Möbius function, The Euler totient function, T.Apostol - Chapter 2
3 The Möbius inversion formula, Multiplicative functions T.Apostol - Chapter 2
4 Dirichlet convolution. T.Apostol - Chapter 2
5 Big and small O notations. Partial summation formula and Euler’s summation formula. Some asymptotic formulas, T.Apostol - Chapter 3
6 The divisor function and Dirichlet’s hyperbola method T.Apostol - Chapter 3
7 Elementary Results on the Distribution of Primes: The function ψ(x), The functions θ(x) and π(x) T.Apostol - Chapter 4
8 Merten’s estimates, Some applications of prime number theorem. The Bertrand Postulate, T.Apostol - Chapter 4
9 L-functions, Riemann zeta function, Euler product representation of ζ(s) and general L-functions. T.Apostol - Chapter 11
10 Analytic continuation of ζ(s) to σ > 0, Non-vanishing of ζ(s) on s = 1, T.Apostol - Chapter 12
11 The proof of the Prime Number Theorem (PNT), T.Apostol - Chapter 13
12 Properties of Riemann-zeta function, such as functional equation and the number of zeroes in the critical strip. Davenport Chapter 13-14 -15
13 Primes in Arithmetic Progressions: Dirichlet’s characters, The orthogonality relations, T.Apostol - Chapter 6
14 Proof of Dirichlet’s Theorem (Elementary proof) T.Apostol - Chapter 7
15 Non-Vanishing of Dirichet L-functions as s = 1 (Analytic Proof) T.Apostol - Chapter 12 (revisited)
16 Review and Final Exam

Sources

Course Book 1. T. Apostol, Introduction to Analytic Number Theory, 1st edition. 1976, 5th edition 2010, Springer, 1441928057
Other Sources 2. Analytic Number Theory for Undergraduates by Heng Huat Chan Monographs in Number Theory ISSN 1793-8341 April 2009
3. Multiplicative Number Theory, Classical Theory (Cambridge Studies in Advanced Mathematics) Harold Davenport. 1980 3. ed.
4. Problems in Analytic Number Theory, M. Ram Murty, 2008, e-ISBN 978-0-387-72350-1
5. Multiplicative Number Theory I. Classical Theory, H. L. Montgomery & R. C. Vaughan

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 40
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Is independently able to build a problem in the area of study, solve the problem by developing solution techniques and assess the solutions. X
2 Is capable of creating a groundwork in the fundamental branches of mathematics as well as in his/her research area X
3 follows the latest national and international literature in Mathematics and in his/her area of research; and uses them in his/her related studies X
4 observes and adopts the scientific ethical values in his/her professional and social life X
5 presents in Turkish and English in academic/scientific events the results of his/her research or the latest studies and findings on a special topic and participates in discussions X
6 Develops skills to work independently or as a member of a team X
7 Develops competences in the areas of creative and critical thinking, problem solving and producing original studies. Follows recent scientific studies, is capable of making an analysis, synthesis and assessment of the knowledge acquired X
8 Is open to lifelong improvement of his/her acquired knowledge, skills and competences. X
9 Is able to apply the acquired knowledge and problem-solving skills to interdisciplinary studies, proposes different solution methods to problems in terms of mathematical models and from a mathematical point of view X
10 Uses the mathematical based softwares, informatics and communication technologies for scientific purposes X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 3 15
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 125