Differential Analysis II: Partial Differential Equations and Fourier Analysis
Free, no sign-up neededSpring 2025English
About this course
In this course, we study elliptic Partial Differential Equations (PDEs) with variable coefficients building up to the minimal surface equation. Then we study Fourier and harmonic analysis, emphasizing applications of Fourier analysis. We will see some applications in combinatorics / number theory, like the Gauss circle problem, but mostly focus on applications in PDE, like the Calderon-Zygmund inequality for the Laplacian, and the Strichartz inequality for the Schrodinger equation.
Description from MIT OpenCourseWare.
Ways to take this course
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2025
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2016
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2004