Math 641-600 Midterm Review — Fall 2023
The midterm will consist of an in-class part, which will be given on
Friday, 10/13/2023, and a take-home part. It will cover sections
1.1-1.4, 2.1, 2.2.1. The material in these sections is also covered in
my class notes. It
will also cover the material done in class.
The in-class part of the midterm will consist of the following:
statements of theorems and definitions; short problems and
propositions similar
to
homework problems or examples done in class; and either a critical
part or sketch of a proof for one of the major theorems proved. The
take-home test will have longer computations, proofs, or problems. It
will be due at 4 pm on Monday, 10/16/2023.
I will also have extra office hours: Wednesday, 10/11/2023, from
11:30-12:30 and 3-4; Thursday, 10/12/2023, from 2-3:30.
- Inner product spaces
- Definitions of inner product spaces and normed spaces
- Schwarz's inequality, triangle inequality
- Orthogonal projections, minimization problems, least squares,
normal equations
- Gram-Schmidt process
- Banach
spaces and Hilbert spaces
- Convergent sequences, Cauchy sequences, complete spaces - Hilbert
spaces and Banach spaces.
- Special (complete) spaces — $\ell^p, L^p\ (1 \le p \le
\infty),\ C[a,b], C^k[a,b]$, and Sobolev space $ H^1[a,b]$. Be able
to prove completeness for the spaces given in the notes or in
homework assignments.
- Lebesgue Integration
- Definitions: Lebesgue measure, Lebesgue integral, simple function, sets of
measure 0
- Be able to define the Lebesgue integral using simple functions.
- Be able to state and use these theorems: Monotone convergence
theorem and dominated convergence theorem
-
Orthonormal sets and expansions
- Complete sets of orthogonal/orthonormal functions, Parseval's
identity, other conditions equivalent to completeness of a set
- Dense sets and completeness
- Completeness of polynomials in L2, orthogonal
polynomials; be able to establish completeness for specific sets of
orthogonal polynomials.
-
Approximation of continuous functions
- Modulus of continuity
- Linear spline approximation
- Weierstrass Approximation Theorem. Be able to sketch a proof,
given necessary properties of the Bernstein polynomials.
Updated 10/10/2023 (fjn).