# Real Analysis (MAST20026)

Undergraduate level 2Points: 12.5On Campus (Parkville)

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## Overview

Year of offer 2017 Undergraduate Level 2 MAST20026 Parkville Semester 1Semester 2 Subject EFTSL, Level, Discipline & Census Date

This subject introduces the field of mathematical analysis both with a careful theoretical framework as well as selected applications. Many of the important results are proved rigorously and students are introduced to methods of proof such as mathematical induction and proof by contradiction.

The important distinction between the real numbers and the rational numbers is emphasized and used to motivate rigorous notions of convergence and divergence of sequences, including the Cauchy criterion. These ideas are extended to cover the theory of infinite series, including common tests for convergence and divergence. A similar treatment of continuity and differentiability of functions of a single variable leads to applications such as the Mean Value Theorem and Taylor's theorem. The definitions and properties of the Riemann integral allow rigorous proof of the Fundamental Theorem of Calculus. The convergence properties of sequences and series are explored, with applications to power series representations of elementary functions and their generation by Taylor series. Fourier series are introduced as a way to represent periodic functions.

## Intended learning outcomes

On completion of this subject students should

• Acquire an appreciation of rigour in mathematics, be able to use proof by induction, proof by contradiction, and to use epsilon-delta proofs both as a theoretical tool and a tool of approximation;
• Understand the theory and applications of the Riemann integral and improper integrals;
• Be able to determine the convergence and divergence of infinite series;
• Have a good knowledge of the theory and practice of power series expansions and Taylor polynomial approximations; and
• Understand the role of Fourier series in representing periodic functions.

## Generic skills

In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:

• problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
• analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
• collaborative skills: the ability to work in a team;
• time management skills: the ability to meet regular deadlines while balancing competing commitments.

Last updated: 16 June 2018