Methods of Applied Mathematics
Topics include distributions, fundamental solutions of partial differential equations, the Schwartz space and tempered distributions, Fourier transform, Plancherel theorem, Green's functions, Sobolev spaces, weak solutions, differential calculus in normed spaces, implicit function theorems, applications to nonlinear equations, smooth variational problems, applications to classical mechanics, constrained variational problems. Computational Science, Engineering, and Mathematics 386D and Mathematics 383D may not both be counted. Three lecture hours a week for one semester.
Topics
- distributions
- fundamental solutions of partial differential equations
- the Schwartz space and tempered distributions
- Fourier transform
- Plancherel theorem
- Green's functions
- Sobolev spaces
- weak solutions
- differential calculus in normed spaces
- implicit function theorems
- applications to nonlinear equations
- smooth variational problems
- applications to classical mechanics
- constrained variational problems
Topics explicitly listed in official catalogue description
Prerequisites & course information
Topics include distributions, fundamental solutions of partial differential equations, the Schwartz space and tempered distributions, Fourier transform, Plancherel theorem, Green's functions, Sobolev spaces, weak solutions, differential calculus in normed spaces, implicit function theorems, applications to nonlinear equations, smooth variational problems, applications to classical mechanics, constrained variational problems. Computational Science, Engineering, and Mathematics 386D and Mathematics 383D may not both be counted. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027