We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

APPLIED MATHEMATICAL ANALYSIS 2: PARTIAL DIFFERENTIAL EQUATIONS

MATH 322
Course Description

Sturm-Liouville theory; Fourier series, including mean convergence; initial and boundary value problems for linear second order partial differential equations, including separation of variables and eigenfunction expansions; fundamental solutions and Green's functions in multiple dimensions.

Prerequisites

MATH 321 , MATH 376 , or graduate/professional standing

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
2.88

-2.07% from Historical

Completion Rate
84%

-8.46% from Historical

A Rate
20%

-32.81% from Historical

Class Size
25

10.7% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

Similar Courses

PARTIAL DIFFERENTIAL EQUATIONS

MATH 719

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 629or721) or concurrent registration inMATH 721is strongly recommended.

ADVANCED TOPICS IN REAL ANALYSIS

MATH 821

Topics in partial differential equations and real analysis.

PARTIAL DIFFERENTIAL EQUATIONS

MATH 720

Linear elliptic, parabolic and hyperbolic equations, continuing with calculus of variations and then nonlinear initial value problems.

METHODS OF APPLIED MATHEMATICS-2

MATH 704

Derivation, nature and solution of canonical partial differential equations of applied mathematics. Conservation laws, advection, diffusion. First order PDEs, characteristics, shocks. Traffic flow, eikonal and Hamilton-Jacobi equations. Higher order PDEs: classification, Fourier analysis, well-posedness. Series solutions and integral transforms. Green's functions and distributions. Similarity solutions. Asymptotics of Fourier integrals. Laplace's method, stationary phase. Ship waves. Perturbation methods. Knowledge of undergraduate linear algebra, analysis and complex analysis is strongly recommended.

ANALYSIS OF PARTIAL DIFFERENTIAL EQUATIONS

MATH 619

A rigorous introduction to the theoretical underpinnings of the basic methods and techniques in the modern theory of PDEs. It is aimed at math majors, but will also be useful to some students in the sciences, engineering and economics who feel the need for a deeper understanding of the theory of PDEs. The emphasis is on the exposure to a number of different methods of solution of PDEs and their connection to physical phenomena modeled by the equations. The goals include both learning to solve some basic types of PDEs as well as to understand the motivation behind and inner workings of the techniques involved.