401-3374-23L Dynamical Systems and Ergodic Theory (University of Zurich)
| Semester | Frühjahrssemester 2023 |
| Dozierende | Uni-Dozierende |
| Periodizität | 2-jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kommentar | Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: MAT733 Beachten Sie die Einschreibungstermine an der UZH: https://www.uzh.ch/cmsssl/de/studies/application/deadlines.html |
Lehrveranstaltungen
| Nummer | Titel | Umfang | Dozierende | |
|---|---|---|---|---|
| 401-3374-23 V | Dynamical Systems and Ergodic Theory (University of Zurich) | 4 Std. | Uni-Dozierende | |
| 401-3374-23 U | Dynamical Systems and Ergodic Theory (University of Zurich) | 2 Std. | Uni-Dozierende |
Katalogdaten
| Kurzbeschreibung | Dynamical systems is an exciting and very active field in pure (and applied) mathematics, that involves tools and techniques from many areas such as analysis, geometry and number theory. This introductory course will focus on discrete time dynamical systems, which can be obtained by iterating a function. |
| Lernziel | By the end of the unit the student: will have developed a good background in the area of dynamical systems; will be familiar with the basic concepts, results, and techniques relevant to the area; will have detailed knowledge of a number of fundamental examples that help clarify and motivate the main concepts in the theory; will understand the proofs of the fundamental theorems in the area; will have mastered the application of dynamical systems techniques for solving a range of standard problems; will have a firm foundation for further study in the area. |
| Inhalt | Dynamical systems is an exciting and very active field in pure (and applied) mathematics, that involves tools and techniques from many areas such as analysis, geometry and number theory. This introductory course will focus on discrete time dynamical systems, which can be obtained by iterating a function. Even if the rule of evolution is deterministic, the long term behavior of the system is often chaotic. Different branches of dynamical systems, in particular ergodic theory, provide tools to quantify this chaotic behaviour and predict it in average. We will give a strong emphasis on presenting many fundamental examples of dynamical systems. Driven by the examples, we will first introduce some of the phenomena and main concepts which one is interested in studying. We will then formalize these concepts and cover the basic definitions and some fundamental theorems and results in topological dynamics, in symbolic dynamics and in particular in ergodic theory. During the course we will also mention some applications for example to number theory, information theory and Internet search engines. Topics which will be covered include: -Basic examples of dynamical systems (e.g. rotations and doubling map; baker’s map, CAT map and hyperbolic toral automorphisms; the Gauss map and continued fractions); -Elements of topological dynamics (minimality; topological conjugacy; topological mixing; topological entropy); -Elements of symbolic dynamics (shifts and subshifts spaces; topological Markov chains and their topological dynamical properties; symbolic coding); -Introduction to ergodic theory: invariant measures; Poincare' recurrence; ergodicity; mixing; the Birkhoff Ergodic Theorem and applications; Markov measures; the ergodic theorem for Markov chains and applications to Internet Search; measure theoretic entropy; -Selected topics (time permitting): Shannon-McMillan-Breiman theorem; Lyapunov exponents and multiplicative ergodic theorem; continuous time dynamical systems and some mathematical billiards. |
| Skript | Lecture notes for several of the topics covered will be provided. |
| Literatur | Textbooks which can be used as additional reference for some of the topics include: -B. Hasselblatt and A. Katok, Dynamics: A first course. (Cambdirge University Press, 2003) – Chapters 7,8,10 and 15 -M. Brin and G. Stuck, Introduction to Dynamical Systems. (Cambridge University Press, 2002) – Chapters 1-4 -Omri Sarig, Lectures Notes on Ergodic Theory (Available Online), Topics from Chapter 1 and 2 |
| Voraussetzungen / Besonderes | Prior Knowledge Basic knowledge of measure theory and integration. |
Leistungskontrolle
| Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) | |
Leistungskontrolle als Semesterkurs | |
| ECTS Kreditpunkte | 9 KP |
| Prüfende | |
| Form | benotete Semesterleistung |
| Prüfungssprache | Englisch |
| Repetition | Repetition nur nach erneuter Belegung der Lerneinheit möglich. |
| Zusatzinformation zum Prüfungsmodus | Registration modalities, date and venue of this performance assessment are specified solely by the UZH. |
Lernmaterialien
| Keine öffentlichen Lernmaterialien verfügbar. | |
| Es werden nur die öffentlichen Lernmaterialien aufgeführt. |
Gruppen
| Keine Informationen zu Gruppen vorhanden. |
Einschränkungen
| Keine zusätzlichen Belegungseinschränkungen vorhanden. |
Angeboten in
| Studiengang | Bereich | Typ | |
|---|---|---|---|
| Mathematik Bachelor | Kernfächer aus Bereichen der reinen Mathematik | W |  |
| Mathematik Master | Auswahl: Analysis | W | |