Math 414-501 Spring 2023
Test 2 Review
General Information
Test 2 will be given on Wednesday, 3/29/2023. Please bring an
8½×11 bluebook. I will have office hours on
on Monday, 10-12 and 3-4, and on Tuesday, 10-11 and 3-5.
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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 storing programs or
other material.
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Other devices. You may not use cell phones, computers, or any
other device capable of storing, sending, or receiving information.
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Structure and coverage. There will be 4 to 6 questions, some
with multiple parts. The test will cover my
notes pointwise
convergence of Fourier series and sections 1.3.3-1.3.5, 2.1.2,
2.2.1 in the text. The problems will be similar to ones done for
homework, and as examples in class and in the text. A
short
table of integrals and Fourier transform properties will be
provided. Here are links to practice
tests:
2004
and 2012.
Topics Covered
Fourier Series
- Pointwise Convergence of Fourier series
- Be able state and prove the Riemann-Lebesgue Lemma, as given in
my notes
on pointwise
convergence of Fourier series.
- Know the conditions under which the partial sum of an FS, FSS,
FCS is pointwise convergent. Be able to use them to decide what
function an FS, FSS, or FCS converges to pointwise. Be able to sketch
several periods of the limit. §1.3.3
- Be able to use the pointwise convergence to sum series.
- Uniform convergence
- Be able to define the term uniform convergence.
- Know the conditions under which an FS, FSS, or FCS is uniformly
convergent, and be able to use them to determine whether or not a
series is uniformly convergent.
- Be able to briefly describe the Gibbs' phenomenon.
- Mean convergence
- Parseval's theorem. Know both the real and complex form. Be able
to use it to sum series similar to ones given in the homework.
- Mean convergence theorem. The partial sum $S_N$ of a FS for a
function $f$ converges in the mean (i.e., in $L^2$) to $f$ if and only
if $f\in L^2$. In addition, $S_N$ converges in the mean to $f$ if and
only if Parseval's equation holds.
Fourier Transforms
- Computing Fourier transforms & properties.
(§2.1-2.2.1) Be able to compute Fourier transforms and inverse
Fourier transforms. Be able to establish the simple properties listed
in Theorem 2.6 of the text, and know how to use them. (You will be given a
table listing these properties plus a few others, so you do not need
to memorize them.)
Updated 3/26/2023.