Dr. Neil Balmforth

Applied PDEs

This course provides an introduction to practical analytical solution methods for PDEs.

The syllabus:
I. PDEs and canonical examples
II. Separation of variables and Fourier series
III. Eigenfunction expansions
IV. Transform methods
V. Characteristics methods
Assessment will involve coursework (homework problems) and examination.

Office hours: Monday, Tuesday and Thursday at 11am
Recommended text:
R. Haberman, ``Applied PDEs''

Midterm: Thursday, Feb 15th.

Ass 1 (with solution)
Ass 2 (with solution)

Sample midterm

Additional relevant problems from Haberman (4th edition):
* Separation of variables and Fourier series - 2.5.3, 2.5.9, 3.4.12, 4.4.3(b)
* Halfway house (requiring Sturm-Louiville theory, but trig functions) - Worked example of section 5.7 upto eq (5.7.11), Physical examples of section 5.8
* Separation of variables and Bessel functions - 7.7.1 (assume r is less than a), 7.7.3 (the frequencies of vibration are the possible values of w in the cos(wt) and sin(wt) functions of the separation-of-variables general solution), 7.8.2(d), 7.9.1(b), 9.7.4(a)
* Separation of variables and Legendre functions - final example in section 7.10, problem 7.10.2

Actual midterm (with solution)

Ass 3, with solution
Ass 4, with solutions
Ass 5, with solutions

Sample problems on traffic flow and for the final (with some typos fixed)

More relevant problems from Haberman (4th edition):
* Fourier Transforms - example in Sec 10.4.1; problems 10.4.3, 10.4.6; example at the end of Sec 10.6.3; problems 10.6.1(a), 10.6.18
* Laplace transforms - problems 13.4.3, 13.4.4, 13.5.3
* Characteristics - example starting with eq (12.2.13); problems 12.2.5(b) and (d); Sec 12.6.5; problems 12.6.3, 12.6.8, 12.6.9

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