- Introduction (1 week)
- First order linear equation and the method of characteristics.
- Geometric interpretation of the gradient, divergence and the Laplacian.
- The Fourier transform (2 weeks)
- One dimensional heat equation.
- One dimensional wave equation.
- Separation of variables.
- Wave equation (1 week)
- d’Alembert's formula.
- Non-homogeneous problem.
- Maxwell equations.
- Laplace equation (2 weeks)
- Fundamental solution.
- Mean value formula.
- Green's function and Poisson’s kernel.
- Maximum principle.
- Dirichlet principle.
- Relation with Brownian motion.
- Heat equation (2 week)
- Fundamental solution.
- Mean value formula.
- Green's function and Poisson’s kernel.
- Maximum principle.
- Dirichlet principle.
- Black-Scholes equation.
Bibliography
- Myint-U, Tyn; Debnath, Lokenath (2007). Linear Partial Differential Equations for Scientists and Engineers (eBook), Boston: Birkhäuser.
- Evans, Lawrence C. (2010). Partial differential equations, Second Edition, Graduate Studies in Mathematics, 19. Providence, RI: American Mathematical Society.
- Cooper, Jeffery M. (2000). Introduction to Partial Differential Equations with MatLab, Boston: Birkhäuser.
- Haberman, Richard (2013). Applied partial differential equations with Fourier series and boundary value problems, Fifth Edition, Upper Saddle River, NJ: Pearson Education, Inc.
Grading
Homework (30%), midterm (30%) just before the drop deadline, final exam (40%)
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