 Course Details in 2025/26 Session

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Module Title LM Methods in Partial Differential Equations Mathematics Mathematics 06 28403 Dr Chris Good Masters Level 20 Semester 1 LH Differential Equations - (06 27143) LI Differential Equations - (06 25670) LI Multivariable & Vector Analysis - (06 25667) None This module develops the concept of partial differential equations, the concept of solution to partial differential equations, with initial and initial boundary value problems for evolution PDE, and steady state boundary value problems for steady state PDE. First order PDE and systems of first order PDE’s are considered (both linear and nonlinear) and solution methods are developed, with specific examples relating to linear and nonlinear simple wave PDE’s. General second order linear PDE are considered, and classified accordingly to canonical form in canonical coordinates. Second order linear hyperbolic, parabolic and elliptic PDEs are examined in general, and then in detail for the wave equation, the diffusion equation and Laplace’s equation. More general linear evolution PDE will also be considered. The solution methods with involve Fourier integral, Fourier series and Green’s Function approaches. Uniqueness will be established in all cases. Specific nonlinear evolution PDE such as the Burger’s equation and Korteweg de Vries equation will be introduced and discussed. By the end of the module students should be able to: By the end of the module, students should be able to understand PDE problems and the concept of classical solution to PDE problems. Students should be able to effectively employ the method of characteristics to construct solutions to PDE problems. For linear second order PDE problems, students should be able to construct the canonical coordinates and the canonical form and classify the PDE. For the wave equation, the diffusion equation and Laplace’s equation, students should be able to construct solutions to the Cauchy, Neumann and Dirichlet problems using Fourier Integral, Fourier series and Green’s Function methods. Students should also understand how to apply these methods to more general linear evolution PDE Students taking the module at Level M will explore the subject beyond the taught syllabus. 28403-01 : Raw Module Mark : Coursework (100%) 2 hour Written Unseen January Examination (80%); In-course Assessment (20%). None