Math 414-501 Spring 2022
Test 2 Review
General Information
- Time and date. Test 2 will be given on Wednesday, 3/23/22,
at 11:30, in our usual classroom.
- Bluebooks. Please bring an 8½×11
bluebook.
- Office hours. I will have office hours on Monday
(3/21/22), 12:30-1:1:30 & 2-3, and on Tuesday (3/22/22), 11:30-1:30 &
2-3.
-
Calculators. You may use calculators to do arithmetic, although
you will not need them. You may not use any calculator that
has the capability of doing linear algebra, or calculus, or of storing
programs or other material.
-
Other devices. You may not use cell phones, computers, or any
other device capable of storing, sending, or receiving information.
-
Structure and coverage. There will be 4 to 6 questions, some
with multiple parts. The test will cover sections 0.2-0.5,
1.3.4-1.3.5, and 2.1. The problems will be similar to ones done
for
homework, and as examples and proofs done in class and in the text. A
short
table of integrals will be provided. Here are links to practice
tests:
2009
and 2010.
Be aware that these tests cover some material that will not be on the
test for this class.
Topics Covered
Fourier Series
- Uniform convergence
- Be able to define the term uniform convergence.
- Know the conditions given in Theorem 1.30 under which an FS (or
FCS or FSS) is uniformly convergent. Be able to apply these to
determine whether or not an FS is uniformly convergent.
- Mean convergence
- Be able to state the definition of mean convergence.
- Parseval's equation. Know both the real and complex form,
Theorems 1.39 and 1.40. Be able to use this theorem to sum series.
Inner Product Spaces
- Inner products
- Definitions of real and complex inner products, examples of inner
product spaces.
- Standard inner products
on Rn, Cn, L2 and
ℓ 2, various examples. §0.2, §0.3.1
- Given an inner product, be able to compute the angle between
two vectors, the length of a vector, and the distance between two
vectors.
- Orthogonality
- Orthogonal and orthonormal sets of vectors, orthonormal bases,
and orthogonal complements of subspaces. Know the definitions for
these terms. Know how to write a vector in terms of an orthonormal
basis, and how to calculate the coefficients.
- Orthogonal projections and least squares. Know the definition of
an orthogonal projection and be able to find them. Be able to show
that $S_N$, the partial sum of a Fourier series for a periodic
function $f$, is the projection of $f$ onto the span of
$\{1/\sqrt{2\pi}, \cos(x)/\sqrt{2\pi},
\sin(x)/\sqrt{2\pi},\cdots,\cos(Nx)/\sqrt{2\pi},\sin(Nx)/\sqrt{2\pi}\}$.
- Gram-Schmidt process. Be able to find an o.n. set from a given
non-orthogonal set.
Fourier Transforms
- Computing Fourier transforms & properties
- Be able to compute Fourier transforms and inverse
Fourier transforms.
Updated 3/20/2022.