Metric Spaces
Table of Contents
What are Metric Spaces
Metric Spaces denoted by \((X,d)\) is a set with a notion of distance between its elements. The distance function \[d: X \times X \rightarrow [0, \infty)\] is called the metric of set X.
Pre-requisites
It is recommenced to have done an a course on Calculus and Real analysis before taking this course. Other than that, basic algebra is assumed.
Notes
Chapter 1: Inequalities.
This contains basic inequalities that needs to be known for this course and are used in various proofs.
Chapter 2: Metric Spaces
This chapter notes contains notes on the basics of metric spaces, some special metric spaces used throughout the course and some important results regarding metric Also introduces the notion of sub-spaces and isometries
Chapter 3: Topology of Metric Spaces
Introduces notion of open balls, closed ball, open sets, closed sets and various definitions and properties.
Chapter 4: Sequences in Metric Spaces
This chapter generalizes the notion of sequences and convergence from \(\mathbb{R}\) to an abstract metric space. We then define further properties of sequences like the Cauchy Property, Completeness, etc.
Chapter 5: Continuity
This chapter generalizes the notion of continuity from \(\mathbb{R}\) to an abstract metric space and give 5 equivalent definitions of continuity. Finally we look at contractions and the famous Contraction Mapping Theorem
Chapter 6: Compact Spaces
Introduces notions of Compactness and Sequential compactness. Also generalizing Bolzano Weirstrass Theorem and Heine Borel Theorem.
Chapter 7: Connectedness
Introduces the notion of connectedness
TODO
- Continuity Notes Polish
- Connectedness Notes polish
- Compactness Notes Polish
- Affine Transformation Notes Polish
- Fractal Geometry Notes Polish