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Functional analysis I

Some basic information about the module

Cycle of education: 2018/2019

The name of the faculty organization unit: The faculty Mathematics and Applied Physics

The name of the field of study: Mathematics

The area of study: sciences

The profile of studing:

The level of study: second degree study

Type of study: full time

discipline specialities : Applications of Mathematics in Computer Science, Applications of Mathematics in Economics

The degree after graduating from university:

The name of the module department : Department of Mathematics

The code of the module: 1484

The module status: mandatory for teaching programme Applications of Mathematics in Computer Science, Applications of Mathematics in Economics

The position in the studies teaching programme: sem: 1 / W30 C30 / 5 ECTS / Z

The language of the lecture: Polish

The name of the coordinator: Leszek Olszowy, DSc, PhD

office hours of the coordinator: termin konsultacji podany w harmonogramie pracy Katedry Analizy Nieliniowei.

semester 1: Szymon Dudek, PhD , office hours office hours as in the work schedule of Department of Nonlinear Analysis.

The aim of studying and bibliography

The main aim of study: The aim of education is first of all delivery of the honest knowledge from functional analysis. During the classes of this subject, students are instructed to basic structures and methods of proving of theorems, which are applied in this area. Moreover, students to get to know fundamental tools of functional analysis, that are used in modern mathematics.

The general information about the module: Topics discused in the module: Algebraic sum, a basis of a vector space, a quotient space, a convex set, a balanced set. Extremal points.Normed spaces. Examples of sequence and function Banach spaces. Holder nad Minkowski inequalities. Separability. Isomorphism of spaces and equivalence of two norms. Schauder basis. Completeness of normed spaces. Baire theorem. Product and quoficient spaces. Criterions of compactness in some Banach spaces. Unitary spaces. Schwarz inequality. Hilbert spaces. Theorems on the best approximation. Gramm determinant. Orthogonality. Schmidt orthogonalization theorem. Orthogonal complements and projections. Orthonormal bases. Fourier coefficients and orthonormal series. Linear operators, bounded linear operators, the norm of operator, the space of linear bounded operators. Some classes of operators: isometry, isomorphism, finite dimensional operators, adjoint operators, compact operators. Banach-Steinhaus theorem, open mapping theorem, inverse operator theorem. Closed graph theorem.

Bibliography required to complete the module
Bibliography used during lectures
1 Julian Musielak Wstęp do analizy funkcjonalnej Warszawa PWN. 1989
2 Walter Rudin Analiza funkcjonalna Wydawnictwo Naukowe PWN, Warszawa. 1998
Bibliography used during classes/laboratories/others
1 Stanisław Prus, Adam Stachura Analiza funkcjonalna w zadaniach Warszawa Wyd. nauk. PWN. 2009
Bibliography to self-study
1 Julian Musielak Wstęp analizy funkcjonalnej Warszawa PWN. 1989

Basic requirements in category knowledge/skills/social competences

Formal requirements: a student has completed undergraduate degree in mathematics

Basic requirements in category knowledge: basic knowledge of linear algebra, topology of metric spaces, differential and integral calculus of a function of single variable, measure theory

Basic requirements in category skills: ability of making algebraic operations, calculating limits, investigating monotonicity of a function, ability of operating with basic topological notion

Basic requirements in category social competences: ability of individual and group learning, awaresness of the level of own knowledge and awaresness of necessity of self-education

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with OEK
01 student can examine convergence of a sequence of vectors in a normed space lectures, problem exercises written test, exam K_W01+
K_W02+
K_W03+
K_W04++
K_W07+
K_U05++
K_U07+
K_U09++
K_U13+
X2A_W01
X2A_W02
X2A_U01+
X2A_U02
X2A_U05
02 student can investigate basic topological properties (compactness, closedness, openness) topological properties of some subsets of Banach spaces lectures, problem exercises written test, exam K_W01+
K_W02+
K_W03+
K_W05++
K_W07+
K_U01+
K_U02+
K_U03++
K_U07+
K_U08++
K_U09++
X2A_W01
X2A_W02
X2A_U01+
X2A_U02
X2A_U03
X2A_U05
03 student knows how to apply appropriate methods of the best approximation to the simple problems of minimization lectures, problem exercises written test, exam K_W01+
K_U05++
K_U07+
K_U09+++
X2A_W01
X2A_U01+
04 student can calculate the norm of a linear bounded operator and he knows how to examine some of its properties lectures, problem exercises, written test, exam K_W01+
K_W02+
K_W07+
K_U02+
K_U05++
K_U07+
K_U09+++
K_K02++
X2A_W01
X2A_U01+
X2A_U03
X2A_U05
X2A_K01
X2A_K02

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem. TK The content realized in MEK
1 TK01 1. Linear spaces - reminder of notions. Algebraic sum, a basis of a vector space, a quotient space, a convex set, a balanced set. Extremal points. 2. Banach spaces. Normed spaces. Examples of sequence and function Banach spaces. Holder nad Minkowski inequalities. W01-W03, C01-C03 MEK01 MEK02
1 TK02 3. Topological properties of normed spaces. Separability. Isomorphism of spaces and equivalence of two norms. Schauder basis. Completeness of normed spaces. Baire theorem. Product and quoficient spaces. Criterions of compactness in some Banach spaces. W04-W07, C04-C07 MEK01 MEK02
1 TK03 4. Hilbert spaces. Unitary spaces. Schwarz inequality. Hilbert spaces. Theorems on the best approximation. Gramm determinant. Orthogonality. Schmidt orthogonalization theorem. Orthogonal complements and projections. Orthonormal bases. Fourier coefficients and orthonormal series. W08-W10, C09-C11 MEK03
1 TK04 5. Linear operators. Linear operators, bounded linear operators, the norm of operator, the space of linear bounded operators. Some classes of operators: isometry, isomorphism, finite dimensional operators, adjoint operators, compact operators. Banach-Steinhaus theorem, open mapping theorem, inverse operator theorem. Closed graph theorem. W11-W15, C12-C14 MEK01 MEK02 MEK04

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 1) contact hours: 30.00 hours/sem.
complementing/reading through notes: 5.00 hours/sem.
Studying the recommended bibliography: 5.00 hours/sem.
Class (sem. 1) The preparation for a Class: 10.00 hours/sem.
The preparation for a test: 30.00 hours/sem.
contact hours: 30.00 hours/sem.
Finishing/Studying tasks: 5.00 hours/sem.
Advice (sem. 1) The preparation for Advice: 2.00 hours/sem.
The participation in Advice: 8.00 hours/sem.
Credit (sem. 1) The written credit: 4.00 hours/sem.

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Lecture The grade from lectures is evaluated according to student's presence at lectures.
Class The grade from classes, after passing all MEKs, is evaluated on basis tests and an activity in time of classes. This indirect result is recalculated to final grade according to the following scale: 100%-91% - 5.0, 90%-81% - 4.5, 80%-71% - 4.0, 70%-61% - 3.5, 60%-0% - 3.0.
The final grade

Sample problems

Required during the exam/when receiving the credit
Semestr 1.pdf

Realized during classes/laboratories/projects
(-)

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: no