MTH3160 · Metric spaces, Banach spaces, Hilbert spaces

Overview

In this unit, we develop the theory of metric spaces, Banach spaces and Hilbert spaces. These are the foundations that support the models of modern physics, including general relativity, quantum mechanics, and optimisation; and are also essential for understanding stochastic phenomena, signal processing and data compression, Fourier analysis, differential equations, and numerical analysis. Topics covered include a basic introduction to metric spaces, topology in metric and Banach spaces, dual spaces, continuous linear mappings between Banach spaces, weak convergence and weak compactness in separable Banach spaces, Hilbert spaces and the Riesz representation theorem. Applications of these theories may include the contraction mapping theorem and its usage to prove the Cauchy-Lipschitz theorem (existence and uniqueness of solution to ordinary differential equations).

Areas of study: Applied mathematics Mathematical statistics Mathematics Pure mathematics

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Explain the basic topological properties of metric spaces, and their applications to problems in other areas of mathematics;
2. Apply some important basic theorems in analysis and their applications, such as the contraction mapping theorem and the Riesz representation theorem;
3. Identify the conditions for existence and uniqueness of solutions to the initial value problem for systems of ordinary differential equations;
4. Communicate mathematical ideas and work in teams as appropriate for the discipline of mathematics.

Workload

• Three 1-hour seminars; • One 2-hour applied class (in weeks 2-12) and • 7 hours of independent study per week.

Student experience, not official rules. Nothing here changes what the Handbook says.