Mathematical Methods 4 (MATH0056)
University College London (UCL)
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Series solutions to ODEs: the Frobenius method
- Lecture notes • 13 pages • 2023
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This chapter focuses on ODEs, which are essential when solving PDEs. In particular it show how to solve ordinary differential equation using the Frobenius method, i.e. finding a series solution to the ODE.
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Integral Transforms 2022/23
- Lecture notes • 13 pages • 2023
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Introduction to Fourier and Laplace transforms and their reverse transform and their use to solve partial differential equations
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Orthogonality and eigenvalue problems
- Lecture notes • 10 pages • 2023
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This document introduces to Sturm-Liouville eigenvalue problems, regular, singular and periodic, to find eigenvalues and eigenfunctions of partial differential equations. In introduces the concept of orthogonality of eigenfunctions. Then it focuses on how to generate the generalised Fourier series expansion of a function, and in particular the Fourier-Bessel and Fourier-Legendre series. Finally, it introduces inhomogeneous problems and how to solve them.
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General approach to solve separation of variables problems
- Lecture notes • 7 pages • 2023
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Providing a general approach to solve problems involving partial differential equations using the separation of variables method
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Introduction to PDEs and separation of variables
- Lecture notes • 5 pages • 2023
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This chapter introduces important PDEs such as the heat equation, wave equation, Laplace equation and Helmholtz equation and gives examples of how to solve them using separation of variables. Then it introduces the 3 coordinate systems of polars, cylindrical polars and spherical, showing how to go from one system to another. Finally it shows how separation of variables can be used to to solve some important types of equation such as the Euler-type equation, the Bessel's equation and the Legendr...
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Mathematical Methods for PDEs
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The package starts showing the solution of important PDEs, then it focuses on ODEs and how to find series solutions, to then go back to PDEs and focus on how to solve PDEs using separation of variables and reducing them to ODEs that can be easily solved. Finally it show how integral transforms can be used to solved PDEs
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