| Academic year 2026/2027 |
| Supervisor: | prof. Mgr. Pavel Řehák, Ph.D. | |||
| Supervising institute: | ÚM | |||
| Teaching language: | Czech | |||
| Course type: | departmental course | |||
| Aims of the course unit: | ||||
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| Learning outcomes and competences: | ||||
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| Prerequisites: | ||||
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| Course contents: | ||||
The course deals with basic concepts and principles of functional |
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| Teaching methods and criteria: | ||||
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| Assesment methods and criteria linked to learning outcomes: | ||||
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| Controlled participation in lessons: | ||||
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| Type of course unit: | ||||
| Lecture | 13 × 2 hrs. | optionally | ||
| Exercise | 13 × 2 hrs. | compulsory | ||
| Course curriculum: | ||||
| Lecture | Metric spaces Basic concepts and facts. Examples. Closed and open sets. Convergence. Separable metric spaces. Complete metric spaces. Mappings between metric spaces. Banach fixed point theorem. Applications. Precompact sets and relatively compact sets. Arzelá-Aascoli theorem. Examples. Elements of the theory of measure and integral Motivation. Lebesgue measure. Measurable functions. Lebesgue integral. Basic properties. Limit theorems. Lebesgue spaces. Examples. Normed linear spaces Basic concepts and facts. Banach spaces. Isometry. Homeomorphism. Influence of the dimension of the space. Infinite series in Banach spaces. The Schauder fixed point theorem and applications. Examples. Unitary spaces Basic concepts and facts. Hilbert spaces. Isometry. Orthogonality. Orthogonal projection. General Fourier series. Riesz-Fischer theorem. Separable Hilbert spaces. Examples. Linear functionals and operators, dual spaces The concept of linear functional. Linear functionals in normed spaces Continuous and bounded functionals. Hahn-Banach theorem and its consequences. Dual spaces. Reflexive spaces. Banach-Steinhaus theorem and its consequences. Weak convergence. Examples Particular types of spaces (in the framework of the theory under consideration). In particular, spaces of sequences, spaces of continuous functions, and spaces of integrable functions. Some inequalities. |
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| Exercise | Practising the subject-matter presented at the lectures mainly on particular examples of finite dimensional spaces, spaces of sequences and spaces of continuous and integrable functions. |
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| Literature - fundamental: | ||||
| 1. F. Burk, Lebesgue measure and integration: An introduction, Wiley 1998. | ||||
| 2. C. Costara, D. Popa, Exercises in functional analysis, Kluwer 2003. | ||||
| 3. Z. Došlá, O. Došlý, Metrické prostory: teorie a příklady, PřF MU Brno 2006. | ||||
| 4. D. Farenick, Fundamentals of functional analysis, Springer 2016. | ||||
| 5. J. Franců, Funkcionální analýza 1, FSI VUT 2014. | ||||
| 6. D. H. Griffel, Applied functional analysis, Dover 2002. | ||||
| 7. A. N. Kolmogorov, S. V. Fomin: Základy teorie funkcí a funkcionální analýzy, SNTL, Praha 1975. | ||||
| 9. J. Lukeš, Zápisky z funkcionální analýzy, Karolinum 1998. | ||||
| 10. I. Netuka, Základy moderní analýzy, MatfyzPress 2014. | ||||
| 11. G. Teschl, Topics in real and functional analysis, Lecture notes 2016. |
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| 14. A. Torchinsky, Problems in real and functional analysis, American Mathematical Society 2015. | ||||
| 15. E. Zeidler, Applied functional analysis: Main principles and their applications, Springer, 1995. | ||||
| Literature - recommended: | ||||
| 1. A. N. Kolmogorov, S. V. Fomin: Základy teorie funkcí a funkcionální analýzy, SNTL, Praha 1975. | ||||
| 2. I. Netuka, Základy moderní analýzy, MatfyzPress 2014. | ||||
| 3. J. Franců, Funkcionální analýza 1, FSI VUT 2014. | ||||
| 4. D. Farenick, Fundamentals of functional analysis, Springer 2016. | ||||
| 5. D. H. Griffel, Applied functional analysis, Dover 2002. | ||||
| The study programmes with the given course: | |||||||||
| Programme | Study form | Branch | Spec. | Final classification | Course-unit credits | Obligation | Level | Year | Semester |
| B-MAI-P | full-time study | --- no specialisation | -- | Cr,Ex | 5 | Compulsory | 1 | 3 | W |
| C-AKR-P | full-time study | CZS | -- | Cr,Ex | 5 | Elective | 1 | 1 | W |
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