ECTS - Classical Orthogonal Polynomials

Classical Orthogonal Polynomials (MATH484) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Classical Orthogonal Polynomials MATH484 Elective Courses 3 0 0 3 6
Pre-requisite Course(s)
MATH262
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Team/Group.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course is intended primarily for the student of mathematics, physics or engineering who wishes to use the “orthogonal” polynomials associated with the names of Legendre, Hermite and Languerre. It aims at providing in a compact form most of the properties of these polynomials in the simplest possible way.
Course Learning Outcomes The students who succeeded in this course;
  • understand and apply the special functions
  • understand the basic properties of the orthogonal polynomials
  • know the basic notions of generating functions
  • understand the Legendre, Hermite and Laguerre functions
  • understand the Chebyshev and Gegenbauer polynomials
Course Content Generating functions; orthogonal polynomials; Legendre polynomials; Hermite polynomials; Laguerre polynomials; Tchebicheff polynomials; Gegenbauer polynomials.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Generating Functions: The generating function concept, Generating functions of the form G(2xt-t^2), Sets generated by exp(t)f(xt), The generating functions A(t)exp[-xt/(1-t)] pp. 129-137
2 Orthogonal Polynomials: Simple sets of polynomials, Orthogonality, An equivalent condition for orthogonality, Zeros of orthogonal polynomials pp. 147-150
3 Expansion of polynomials, The three-term recurrence relation, The Cristoffel-Darboux formula, Normalization; Bessel's inequality pp. 150-155
4 Legendre Polynomials: A generating function, Differential recurrence relation, the pure recurrence relation, Legendre's differential equation pp. 157-161
5 The Rodrigues formula, Hypergeometric forms of P_n(x), Special properties of P_n(x), Laplace's first integral form, Some bounds on P_n(x) pp. 165-181
6 Orthogonality, An expansion theorem, Expansion of analytic functions pp. 187-190
7 Midterm
8 Hermite Polynomials: Definition, Recurrence relations, The Rodrigues formula, Other generating functions pp. 191-196
9 Integrals, The Hermite polynomials as a 2_F_0, Differential equation, Orthogonality, Expansion of polynomials, More generating functions pp. 200-203
10 Laguerre Polynomials: The Laguerre polynomials, Generating functions, Recurrence relations, The Rodrigues formula pp. 204-213
11 Christffel-Darboux Formula, The differential equation, Orthogonality, Expansion of polynomials, Special properties, Other generating functions, The simple Laguerre polynomials pp.254-260
12 Chebyshev polynomials: A generating function relation, Recurrence relation, Some other representations, Differential equation, Orthogonality pp. 261-269
13 Gegenbauer Polynomials: A generating function relation, Recurrence relation, Some other representations s. 276-283
14 Differential equation, Orthogonality, Expansion of polynomials, Rodrigues formula p. 285, pp. 299-301
15 Review
16 Final Exam

Sources

Course Book 1. Earl D. Rainville, Special Functions, MacMillan, New York, 1960.
Other Sources 2. Z. X. Wang, D. R. Guo, Special Functions, World Scientific, 1989
3. N. N. Lebedev, Special Functions and Their Applications, Prentice-Hall, 1965

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 40
Toplam 8 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
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 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors. X
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices. X
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills. X
4 Acquires analytical thinking and uses time effectively in the process of deduction X
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively. X
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes. X
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning. X
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team. X
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields. X
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data. X
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 8 40
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 12 24
Prepration of Final Exams/Final Jury 1 18 18
Total Workload 130