# Math20101 Complex Analysis Coursework Testing

## Real and Complex Analysis

Unit code: | MATH20101 |

Credit Rating: | 20 |

Unit level: | Level 2 |

Teaching period(s): | Semester 1 |

Offered by | School of Mathematics |

Available as a free choice unit?: | N |

#### Requisites

**Prerequisite**

#### Aims

The course unit unit aims to introduce the basic ideas of real analysis (continuity, differentiability and Riemann integration) and their rigorous treatment, and then to introduce the basic elements of complex analysis, with particular emphasis on Cauchy's Theorem and the calculus of residues.

#### Overview

The first half of the course describes how the basic ideas of the calculus of real functions of a real variable (continuity, differentiation and integration) can be made precise and how the basic properties can be developed from the definitions. It builds on the treatment of sequences and series in MATH10242. Important results are the Mean Value Theorem, leading to the representation of some functions as power series (the Taylor series), and the Fundamental Theorem of Calculus which establishes the relationship between differentiation and integration.

The second half of the course extends these ideas to complex functions of a complex variable. It turns out that complex differentiability is a very strong condition and differentiable functions behave very well. Integration is along paths in the complex plane. The central result of this spectacularly beautiful part of mathematics is Cauchy's Theorem guaranteeing that certain integrals along closed paths are zero. This striking result leads to useful techniques for evaluating real integrals based on the 'calculus of residues'.

#### Learning outcomes

On completion of this unit successful students will be able to:

- understand the concept of limit for real functions and be able to calculate limits of standard functions and construct simple proofs involving this concept;
- understand the concept of continuity and be familiar with the statements and proofs of the standard results about continuous real functions;
- understand the concept of the differentiability of a real valued function and be familiar with the statements and proofs of the standard results about differentiable real functions;
- appreciate the definition of the Riemann integral, and be familiar with the statements and proofs of the standard results about the Riemann integral including the Fundamental Theorem of Calculus;
- understand the significance of differentiability for complex functions and be familiar with the Cauchy-Riemann equations;
- evaluate integrals along a path in the complex plane and understand the statement of Cauchy's Theorem;
- compute the Taylor and Laurent expansions of simple functions, determining the nature of the singularities and calculating residues;
- use the Cauchy Residue Theorem to evaluate integrals and sum series.

#### Assessment methods

- Other - 20%
- Written exam - 80%

#### Assessment Further Information

- Coursework; An in-class test in reading week for Real Analysis, an on-line test for Complex Analysis, each counting 10%.
- 3 hours end of semester examination; Weighting within unit 80%.

#### Syllabus

Real analysis

- Limits. Limits of real-valued functions, sums, products and quotients of limits. [5 lectures]
- Continuity. Continuity of real-valued functions, sums, products and quotients of continuous functions, the composition of continuous functions. Boundedness of continuous functions on a closed interval. The Intermediate Value Theorem. The Inverse Function Theorem. [5]
- Differentiability. Differentiability of real-valued functions, sums, products and quotients of continuous functions, Rolle's Theorem, the Mean Value Theorem, Taylor's Theorem. [5]
- Integration. Definition of the Riemann integral, integrability of monotonic and continuous function, the Fundamental Theorem of Calculus. [5]

Complex analysis

- The complex plane. The topology of the complex plane, open sets, complex sequences and series, power series, and continuous functions. [4]
- Differentiation. Differentiable complex functions and the Cauchy-Riemann equations. [2]
- Integration. Integration along paths, the Fundamental Theorem of Calculus, the Estimation Lemma, Cauchy's Theorem, Argument and Logarithm. [5]
- Taylor and Laurent Series. Cauchy's Integral Formula and Taylor series, Louiville's Theorem and the Fundamental Theorem of Algebra, zeros and poles, Laurent series. [5]
- Residues. Cauchy's Residue Theorem, the evaluation of definite integrals and summation of series. [6]

#### Recommended reading

- Mary Hart, Guide to Analysis, Macmillan Mathematical Guides, Palgrave Macmillan; second edition 2001.
- Rod Haggerty, Fundamentals of Mathematical Analysis, Addison-Wesley, second edition 1993.
- Ian Stewart and David Tall, Complex Analysis, Cambridge University Press, 1983.

#### Feedback methods

Feedback tutorials will provide an opportunity for students' work to be discussed and provide feedback on their understanding. Coursework or in-class tests (where applicable) also provide an opportunity for students to receive feedback. Students can also get feedback on their understanding directly from the lecturer, for example during the lecturer's office hour.

#### Study hours

- Lectures - 44 hours
- Tutorials - 22 hours
- Independent study hours - 134 hours

#### Teaching staff

Mark Coleman - Unit coordinatorCharles Walkden - Unit coordinator## Exam Feedback 2014/2015 - Semester 1 (January 2015)

Exam Feedback sessions are organised each semester by the Teaching & Learning Office and are an opportunity for students to see their marked examination scripts.

Copies of the examination paper and generic feedback (where available) are listed below.

**We are in the process of uploading the exam papers and feedback.**

## Level 1

Course Unit | Exam Paper | Exam Feedback |
---|---|---|

MATH10001, Mathematical Workshop |
| |

MATH10101, Sets, Numbers and Functions A | MATH10101 | MATH10101 |

MATH10121, Calculus and Vectors A | MATH10121 | MATH10121 |

MATH10111, Sets, Numbers and Functions B | MATH10111 | MATH10111 |

MATH10131, Calculus and Vectors B | MATH10131 | MATH10131 |

MATH10141, Probability 1 | MATH10141 (corrected) | MATH10141 |

MATH10951, Financial Mathematics for Actuarial Science 1 | MATH10951 (corrected) | MATH10951 |

## Level 2

## Level 3

Course Unit | Exam Paper | Exam Feedback |
---|---|---|

MATH31011, Fourier Analysis and Lebesgue Integration | MATH31011 | MATH31011 |

MATH31051, Introduction to Topology | MATH31051 | MATH31051 |

MATH31061, Differentiable Manifolds | MATH31061 | MATH31061 |

MATH32001, Group Theory | MATH32001 | MATH32001 |

MATH32031, Coding Theory | MATH32031 | MATH32031 |

MATH32051, Hyperbolic Geometry | MATH32051 | MATH32051 |

MATH32071, Introduction to Number Theory | MATH32071 | MATH32071 |

MATH33001, Predicate Logic | MATH33001 | MATH33001 |

MATH34001, Applied Complex Analysis | MATH34001 | MATH34001 |

MATH34011, Asymptotic Expansions and Perturbation Methods | MATH34011 | MATH34011 |

MATH35001, Viscous Fluid Flow | MATH35001 | MATH35001 |

MATH35021, Elasticity | MATH35021 | MATH35021 |

MATH36001, Matrix Analysis | MATH36001 | MATH36001 |

MATH36041, Essential Partial Differential Equations | MATH36041 | MATH36041 |

MATH37001, Martingales with Applications to Finance | MATH37001 | MATH37001 |

MATH38001, Statistical Inference | MATH38001 | MATH38001 |

MATH38141, Regression Analysis | MATH38141 | MATH38141 |

MATH38061, Multivariate Statistics | MATH38061 | MATH38061 |

MATH38071, Medical Statistics | MATH38071 | MATH38071 |

MATH38091, Statistical Computing | MATH38091 | MATH38091 |

MATH38181, Extreme Values and Financial Risk | MATH38181 (corrected) | MATH38181 |

MATH38191, Statistical Modelling in Finance | MATH38191 (corrected) | MATH38191 |

MATH39001, Combinatorics and Graph Theory | MATH39001 | MATH39001 |

MATH39511, Actuarial Models | MATH39511 | MATH39511 |

## Level 4

Course Unit | Exam Paper | Exam Feedback |
---|---|---|

MATH41011, Fourier Analysis and Lebesgue Integration | MATH41011 | MATH41011 |

MATH41051, Introduction to Topology | MATH41051 | MATH41051 |

MATH41061, Differentiable Manifolds | MATH41061 | MATH41061 |

MATH42001, Group Theory | MATH42001 | MATH42001 |

MATH42041, NonCommutative Algebra | MATH42041 | MATH42041 |

MATH42051, Hyperbolic Geometry | MATH42051 | MATH42051 |

MATH42061, Representation Theory | MATH42061 | MATH42061 |

MATH42071, Introduction to Number Theory | MATH42071 | MATH42071 |

MATH43001, Predicate Logic | MATH43001 | MATH43001 |

MATH43051, Model Theory | MATH43051 | MATH43051 |

MATH44041, Applied Dynamical Systems | MATH44041 | MATH44041 |

MATH45051, Singularities, Bifurcations and Catastrophes | MATH45051 | MATH45051 |

MATH45061, Continuum Mechanics | MATH45061 | MATH45061 |

MATH46101, Numerical Linear Algebra | MATH46101 | MATH46101 |

MATH47101, Stochastic Calculus | MATH47101 | |

MATH48001, Statistical Inference | MATH48001 | MATH48001 |

MATH48011, Linear Models with Nonparametric Regression | MATH48011 | MATH48011 |

MATH48061, Multivariate Statistics | MATH48061 | MATH48061 |

MATH48091, Statistical Computing | MATH48091 | MATH48091 |

MATH48181, Extreme Values and Financial Risk | MATH48181 (corrected) | MATH48181 |

MATH48191, Statistical Modelling in Finance | MATH48191 (corrected) | MATH48191 |

MATH49111, Scientific Computing |

## Level 6

Course Unit | Exam Paper | Exam Feedback |
---|---|---|

MATH61011, Fourier Analysis and Lebesgue Integration | MATH61011 | MATH61011 |

MATH61051, Introduction to Topology | MATH61051 | MATH61051 |

MATH61061, Differentiable Manifolds | MATH61061 | MATH61061 |

MATH62001, Group Theory | MATH62001 | MATH62001 |

MATH62041, NonCommutative Algebra | MATH62041 | MATH62041 |

MATH62051, Hyperbolic Geometry | MATH62051 | MATH62051 |

MATH62061, Representation Theory | MATH62061 | MATH62061 |

MATH62071, Introduction to Number Theory | MATH62071 | MATH62071 |

MATH63001, Predicate Logic | MATH63001 | MATH63001 |

MATH63051, Model Theory | MATH63051 | MATH63051 |

MATH64041, Applied Dynamical Systems | MATH64041 | MATH64041 |

MATH64051, Mathematical Methods (as MAGIC022) | MATH64051 | MATH64051 |

MATH65051, Singularities, Bifurcations and Catastrophes | MATH65051 | |

MATH65061, Continuum Mechanics | MATH65061 | MATH65061 |

MATH65740, Transferable Skills for Applied Mathematicians | ||

MATH66101, Numerical Linear Algebra | MATH66101 | MATH66101 |

MATH67001, Martingales with Applications to Finance | MATH67001 | MATH67001 |

MATH67101, Stochastic Calculus | MATH67101 | |

MATH68001, Statistical Inference | MATH68001 | MATH68001 |

MATH68011, Linear Models with Nonparametric Regression | MATH68011 | MATH68011 |

MATH68061, Multivariate Statistics | MATH68061 | MATH68061 |

MATH68091, Statistical Computing | MATH68091 | MATH68091 |

MATH68181, Extreme Values and Financial Risk | MATH68181 (corrected) | MATH68181 |

MATH68191, Statistical Modelling in Finance | MATH68191 (corrected) | MATH68191 |

MATH69111, Scientific Computing | ||

MATH69511, Actuarial Models | MATH69511 | MATH69511 |

MATH69531, General Insurance | MATH69531 | MATH69531 |

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