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Unit information: Dynamical Systems and Ergodic Theory 3 in 2019/20

Please note: Due to alternative arrangements for teaching and assessment in place from 18 March 2020 to mitigate against the restrictions in place due to COVID-19, information shown for 2019/20 may not always be accurate.

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

Unit name Dynamical Systems and Ergodic Theory 3
Unit code MATH36206
Credit points 20
Level of study H/6
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Jordan
Open unit status Not open
Pre-requisites

MATH10003 Analysis 1A and MATH10006 Analysis 1B (or MATH10011 Analysis) and MATH11007 Calculus 1 (or MATH10012 ODEs, Curves and Dynamics).

MATH20006 Metric Spaces is helpful (students will benefit from some familiarity with metric spaces) but not required: some basic notions in metric spaces and measure theory will be provided.

Co-requisites

None

School/department School of Mathematics
Faculty Faculty of Science

Description

Unit Aims

The course will provide an introduction to subject of dynamical systems, from a pure-mathematical point of view. The first part of the course will be driven by examples so that students will become familiar with various basic models of dynamical systems. We will then develop the mathematical background and the main concepts in topological dynamics, symbolic dynamics and ergodic theory. We will also show applications to other areas of pure mathematics and concrete problems as Internet search.

Unit Description

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. A dynamical system can be obtained by iterating a function or letting evolve in time the solution of equation. 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.

At the beginning of this lecture course we will give a strong emphasis on presenting many fundamental examples of dynamical systems, such as circle rotations, the baker map on the square and the continued fraction map. Driven by the examples, we will introduce some of the phenomena and main concepts which one is interested in studying.

In the second part of the course, we will 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. We will give full proofs of some of the main theorems.

During the course we will also mention some applications both to other areas of mathematics, such as number theory, and to very concrete problems as Internet search engines.

Relation to Other Units

This unit has connections with Analysis, Number Theory, Statistical Mechanics and Quantum Chaos. In particular, the course will provide good background in dynamics for students interested in Statistical Mechanics. Some of the topics presented have applications in Number Theory (Gauss map, Weyl’s theorem and equidistributions).

The course will provide a strong foundation from a more pure pespective for more advanced applied courses such as Applied Dynamical Systems and the Engineering unit Nonlinear Dynamics and Chaos.

Intended learning outcomes

Learning Objectives

By the end of the unit the student:

  • will have developed an excellent 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.

Transferable Skills

Assimilation of abstract ideas and reasoning in an abstract context. Problem solving and ability to work out model examples.

Teaching details

A standard lecture course of 30 lectures and exercises.

Assessment Details

90% Examination and 10% Assessed Coursework

Raw scores on the examinations will be determined according to the marking scheme written on the examination paper. The marking scheme, indicating the maximum score per question, is a guide to the relative weighting of the questions. Raw scores are moderated as described in the Undergraduate Handbook.

Reading and References

Recommended

  • Michael Brin and Garrett Stuck, Introduction to Dynamical Systems, Cambridge University Press, 2002
  • Boris Hasselblatt and Anatole Katok, Dynamics: A First Course, Cambdirge University Press, 2003

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