PARTIAL DIFFERENTIAL EQUATIONS
Classical theory of partial differential equations, together with an introduction to the modern theory based on functional analysis. Familiarity with basic measure theory (e.g. MATH 629 or 721 ) or concurrent registration in MATH 721 is strongly recommended.
Prerequisites & course information
Requisites: Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Recall and state the basic theorems regarding solutions to the transport, Laplace, heat, and wave equations. Audience: Graduate 2. Use the above theorems to analyze solutions to first and second order linear partial differential equations of the above types, with novel initial data or boundary values. Audience: Graduate 3. Apply basic tools for studying first order nonlinear partial differential equations to analyze conservation laws and equations of Hamilton-Jacobi type. Audience: Graduate 4. Recall and state the definitions and basic theorems of Sobolev spaces. Audience: Graduate 5. Analyze novel second order elliptic equations by establishing existence, regularity, and maximum principles of solutions, given initial or boundary data with various properties. Audience: Graduate Learning Outcomes: 1. Recall and state the basic theorems regarding solutions to the transport, Laplace, heat, and wave equations. Audience: Graduate 2. Use the above theorems to analyze solutions to first and second order linear partial differential equations of the above types, with novel initial data or boundary values. Audience: Graduate 3. Apply basic tools for studying first order nonlinear partial differential equations to analyze conservation laws and equations of Hamilton-Jacobi type. Audience: Graduate 4. Recall and state the definitions and basic theorems of Sobolev spaces. Audience: Graduate 5. Analyze novel second order elliptic equations by establishing existence, regularity, and maximum principles of solutions, given initial or boundary data with various properties. Audience: Graduate
Sources
- Course catalogue ↗2026-2027