Joint Program Examinations
Every student planning to earn the PhD in Applied Mathematics must pass the two Joint Program Examinations. One exam covers real analysis (MA 645 and MA 646). The other exam covers linear algebra and numerical linear algebra (MA 631 and MA 660). Each exam is three and one half hours long.
The Joint Program Examinations in Real Analysis and Linear Algebra are given during two periods each year (one in May and one in September). During each period a student may take one or both of the exams but subject to the following restrictions: (1) either exam may be attempted at most twice and (2) a student may participate in exams during no more than three periods.
Any student considering taking this examination should meet as soon as possible with the Graduate Student Advisor, Dr. Nikolai Chernov, in 492A Campbell Hall for scheduling information, advice, and information.
Masters degree students who are not planning on writing a thesis and who have passed the Joint Program Exam will not be required to take the final oral examination for the masters degree.
Spring 2014 Schedule
- Real Analysis: Tuesday, May 13, 8:30 AM - 12:00 Noon
- Linear Algebra: Thursday, May 15, 8:30 AM - 12:00 Noon
Tentative Fall 2014 Schedule
- Real Analysis: Tuesday, September 9, 8:30 AM - 12:00 Noon
- Linear Algebra: Thursday, September 11, 8:30 AM - 12:00 Noon
Topics in Real Analysis
- Lebesgue measure on R1: outer measure, measurable sets and Lebesgue measure, non-measurable sets, measurable functions.
- The Lebesgue integral in R1: positive functions and general functions, comparison with the proper and improper Riemann integral.
- Differentiation and integration: monotone functions, functions of bounded variation, absolute continuity, the fundamental theorem of calculus.
- Definition of a positive measure, measure spaces, measurable functions, the integral with respect to a positive measure.
- Convergence theorems for positive measures: monotone and dominated convergence.
- Lp spaces for positive measures with p=1,2,...,∞, definition, completeness.
- Product measure, Lebesgue measure on Rk, Fubini's theorem.
Topics in Linear Algebra
- Vector spaces over a field: subspaces
- quotient spaces
- complementary subspaces
- bases as maximal linearly independent subsets
- finite dimensional vector spaces
- linear transformations
- null spaces
- invariant subspaces
- vector space isomorphisms
- matrix of a linear transformations
- rank and nullity of linear transformations and matrices
- change of basis
- equivalence and similarity of matrices
- dual spaces and bases
- diagonalization of linear operators and matrices
- Cayley-Hamilton theorem and minimal polynomials
- Jordon canonical forms
- real and complex normed and inner product spaces
- Cauchy-Schwarz and triangle inequalities
- orthogonal complements, orthonormal sets
- Fourier coefficients and the Bessel inequality
- adjoint of a linear operator
- positive definite operators and matrices
- unitary diagonalization of normal operators and matrices
- orthogonal diagonalization of real, symmetric matrices