MATH2406 Maths Methods 2 Honours: Partial Differential Equations, Fourier Analysis and Complex Analysis
Later Year Course
| Offered By | Department of Maths |
|---|---|
| Academic Career | Undergraduate |
| Course Subject | Mathematics |
| Offered in | Second Semester, 2010 and Second Semester, 2011 |
| Unit Value | 6 units |
| Course Description |
Many physical processes such as vibrating strings, diffusion of heat and fluid flows are well modelled by partial differential equations and/or integral equations. This course provides an introduction to methods for solving and analysing standard partial differential equations and integral equations, including an introduction to complex analytic techniques. The course consists out of two main modules: Complex Analysis and Partial Differential Equations. Complex Analysis: differentiability; analytic continuation; conformal mapping; complex integration; Cauchy integral theorems; residue theorem; applications to real integration. Laplace transform: properties, Watson's lemma, the inversion integral, inversions involving residues and branch cuts, asymptotics, application to ODE's and PDE's Partial Differential Equations; classification of second order partial differential equations into elliptic, parabolic and hyperbolic types; elliptic equations; integral formulae, maximum principle; parabolic equations; diffusion; representation by a kernel (Green's functions); hyperbolic equations; d'Alembert solution and the method of characteristics; analytic methods; separation of variables; orthogonal expansions; Fourier series; Distributions, Transforms, Complex Analysis and applications; Distributions: definition, convergence of distributions, derivative. Fourier transform: definition, properties, application to Green's functions. |
| Learning Outcomes |
On satisfying the requirements of this course, students will have the knowledge and skills to: 1. Explain the fundamental concepts of partial differential equations and their role in modern mathematics and applied contexts2. Demonstrate accurate and efficient use of Fourier series, complex analysis and integral transform techniques 3. Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from partial differential equations and complex analysis 4. Apply problem-solving using Fourier series, complex analysis and integral transform techniques applied to diverse situations in physics, engineering and other mathematical contexts. |
| Indicative Assessment |
Assessment will be based on:
|
| Workload | 36 Lectures and tutorials by arrangement |
| Areas of Interest | Mathematics |
| Requisite Statement | MATH2405 |
| Incompatibility | MATH2014, MATH2114, MATH2306, MATH3109 and MATH3209 |
| Science Group | B |
| Academic Contact | Peter Bouwknegt |
The information published on the Study at ANU 2010 website applies to the 2010 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2009 website.




