Complementary chapters of functional analysis/ Module 1. Applied functional analysis.Module 2.Convex
Course: Applied mathematics
Structural unit: Faculty of Computer Science and Cybernetics
Title
Complementary chapters of functional analysis/ Module 1. Applied functional analysis.Module 2.Convex
Code
ДВВ.03
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
6
Learning outcomes
PLO3. Gaining knowledge for the ability to evaluate existing technologies and on the basis of analysis to form requirements for the development of advanced information technologies.
Form of study
Full-time form
Prerequisites and co-requisites
To successfully learn the discipline “Complementary chapters of functional analysis. Module 1. Applied Functional Analysis” the student should satisfy the following requirements.
They have successfully passed the courses Calculus, Functional analysis, and Linear Algebra.
They know (a) fundamentals of Calculus, Functional analysis, and Linear Algebra .
They can (a) solve problems of Calculus, Functional analysis, and Linear Algebra.
They should be able to (a) seek information in the Internet.
Course content
Block 1. Filters and nets.
Nets
Filters and bases of filters.
Limits and limit points of filters.
Ultrafilters. Criteria of compactness.
Connection between filters and nets
Nopology induced by a family if sets
Tikhonov topology
Test work
Block 2. Topological vector spaces.
Fundamentals of topological vector spaces
Completeness and compactness in topological vector spaces
Linear operators and functionals
Locally convex spaces
Weak topologies
General notions of duality
Duality in locally convex spaces
Duality in Banach spaces
Krein–Milman theorem
Test work
Part 3. Elements of convex analysis.
Convex sets and functions
Separability theorems
Duality of convex functions
Subdifferential calculus
Extreme conditions
Duality of convex problems
Part 4. Elements of nonlinear analysis.
Theorems of Brouwer and Schauder
Kakutani's theorem
Browder's theorem, the Krasnoselskyi-Mann method, the Halpern method.
Von Neumann's alternating method.
Basic concepts of the theory of monotone operators, Minty's lemma.
Variational inequalities
Methods of solving variational inequalities.
Recommended or required reading and other learning resources/tools
1. Kadets V.M. Kurs funktsional-nogo analiza. — Kh.: KhNU im. V.N. Karazina, 2006. — 608 s.
2. Aleksandrian R.A., Mirzakhanian E.A. Obshchaia topologiia. - M.:Vysshaia shkola, 1979. - 336 s.
3. Berezanskii Iu.M., G.F.Us, Sheftel- Z.G. Funktsional-nyi analiz. - K.: Vishcha shkola, 1990. - 600 s.
4. Kantorovich L.V., Akilov G.P. Funktsional-nyi analiz. - M.: Nauka, 1984. - 752 s.
5. Kolmogorov A.N. Fomin S.V. Elementy teorii funktsii i funktsional-nogo analiza.- M: Nauka, 1981. - 544 s.
6. Kelli Dzh. Obshchaia topologiia. – M.: Nauka, 1981.
7. Engel-king R. Obshchaia topologiia. – M.: Mir, 1986.
Planned learning activities and teaching methods
Lectures, independent work, recommended literature processing, homework.
Assessment methods and criteria
Intermediate assessment:
The maximal number of available points is 60.
Test work no. 1: RN 1.1, RN 1.2 – 30/18 points.
Test work no. 2: RN 1.1, RN 1.2 – 30/18 points.
Final assessment (in the form of exam):
The maximal number of available points is 40.
The results of study to be assessed are RN 1.1, RN 1.2, RN 2.1, and RN 3.1.
The form of exam: writing.
The types of assignments are 4 writing assignments (2 theoretical and 2 practical).
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline