Course Archives Theoretical Statistics and Mathematics Unit
Course: Partial Differential Equations
Instructor: Mathew Joseph
Room:
Level: Postgraduate
Time: Currently offered
Syllabus
Past Exams


Syllabus:

i) Basics of ODE: (local as well as global) existence and uniqueness results, Picard iteration, Gronwalls inequality, solving some first order and second order equations. [7 lectures]
ii) Introduction to PDE: order of a PDE, classification of PDEs into linear, semilinear, quasi-linear, and fully nonlinear equations, Examples of equations from Physics, Geometry, etc. The notion of well-posed PDEs [1 lecture]
iii) First order PDEs: Method of characteristics, existence and uniqueness results of the Cauchy problem for quasilinear and fully nonlinear equations. [9 lectures] Second order linear PDEs in two independent variables: classification into hyperbolic, parabolic and elliptic equations, canonical forms. [1 lecture]
iv) Laplace equation: Definition of Harmonic functions. Mean-value property, Strong Maximum principle for harmonic functions, Liouvilles theorem, smoothness of harmonic functions, Poissons formula. Harmonic functions in rectangles, cubes, circles, wedges, annuli. [9 lectures]
v) Heat equation: Fundamental solution of heat equation, Duhamels principle, weak and strong maximum principles, smoothness of solutions of heat equation, ill-posedness of backward heat equation. [9 lectures]
vi) Wave equation: well-posedness of initial and boundary value problem in 1D and dAlembert formula. method of descent in 2D and 3D. Duhamels principle, domain of dependence, range of influence, finite speed of propagation. [8 lectures]
vii) Boundary problems: Separation of variables, Dirichlet, Neumann and Robin conditions. The method of seperation of variables for Laplace, Heat and Wave equations. [2 lectures]


Suggested Texts :
(a) Evans, L. C. Partial Differential Equations, AMS, 2010.
(b) Han, Q. A Basic Course in Partial Differential Equations, AMS, 2011.
(c) McOwen, R. Partial Differential Equations: Methods and Applications, Pearson, 2002.
(d) Pinchover, Y. and Rubinstein, J. An Introduction to Partial Differential Equations, Cambridge, 2005.
(e) Fritz John Partial Differential Equations, Springer.
(f) Partial Differential Equations: An introduction by Walter Strauss.


Evaluation:
Midterm Exam 30 marks
Home Work / Assignment 20 marks
Final Exam 50 marks
Total 100 marks

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Past Exams
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