♦
CLASS VIDEOS: 2017
(for captioning you might try
http://ncamftp.wgbh.org/cadet/ )
- Lecture 01: 9/08/17:
Introduction, Chapter 70 Aid, Indians' Streak:
https://youtu.be/jMnzNIBv1Qg; also first day:
slides
handout
- Lecture 02: 9/11/17: Exponential Function, Generalizations with
Matrices, Inner Products:
https://youtu.be/ZLMB5Jdccfk
- Lecture 03: 9/13/17: Lp Spaces, Orthonormal Functions, Bessel's
Inequality, Riemann-Lebesgue Lemma:
https://youtu.be/YjTljfqW0NQ
- Lecture 04: 9/15/17: Linear Regression, Win Streaks:
https://youtu.be/W2g7levI35o
- Lecture 05: 9/18/17: Approximations to the Identity, Dirichlet Kernel,
Fejer Kernel:
https://youtu.be/GI4VVJLUpXo
- Lecture 06: 9/20/17: Fejer's Theorem, Dirichlet's Theorem:
https://youtu.be/QhUNSQuiV08
- Lecture 07: 9/22/17: Bessel's Equality, Evalulating Sums:
https://youtu.be/PHIEf5s8Nog
- Lecture 08: 9/24/17: Evaluating Sums, Extending Dirichlet's Theorem:
https://youtu.be/OOeBLBNrJJg
- Lecture 09: 9/27/17: Fourier Transform, Poisson Summation: Part 1:
https://youtu.be/v7yP9UXuxY8 (audio lost last 12 minutes, see
https://youtu.be/2gfa5pvQ8kc for rest)
- Lecture 10: 9/29/17: Introduction to Benford's Law, Spreading Normal mod
1 is Uniform:
https://youtu.be/UQijNiZUlic
- Lecture 11: 10/02/17: Gaussian Integral, Fourier Transform of the Normal
Distribution:
https://youtu.be/FzqMInRzOew
- Lecture 12: 10/04/17: Spreading Normal mod 1, Fibonaccis are Benford,
Kronecker's Theorem:
https://youtu.be/WVWiWsfUlW8
- Lecture 13: 10/06/17: Dirichlet's Theorem, Liouville's Theorem:
https://youtu.be/H2iA5VyHO3k
- Lecture 14: 10/11/17:
Weyl's Proof of Kronecker's Theorem:
https://youtu.be/wZwawWjT0xI
- Lecture 15: 10/16/17: Hershey Game, Fibonacci numbers are Benford:
https://youtu.be/fP-zhIkXMmE
- Lecture 16: 10/18/17: Recurrence Relations, Spacing Preliminaries:
https://youtu.be/_B-hOn-VEww
- Lecture 17: 10/23/17: Convergence arguments:
https://youtu.be/t2rBb2s-mCc
- Lecture 18: 10/25/17: No Lecture (illness)
- Lecture 19: 10/27/17: No Lecture (illness)
- Lecture 20: 10/30/17: Gaps between independent, uniform random
variables:
https://youtu.be/mRygXy9nJcM
- Lecture 21: 11/01/17: Review of Eigenvalues:
https://youtu.be/v6rUPqZI1KA
- Lecture 22: 11/03/17: Review of Eigenvalues and Eigenvectors II:
https://youtu.be/n3ipVnveNKw
- Lecture 23: 11/06/17: Intro to RMT: Video did not record, can watch:
Part I (Classical RMT, Intro L-fns, Dirichlet): http://youtu.be/2PuUbk6gUMM (slides: part
1)
- Lecture 24: 11/08/17: Wigner Semi-Circle Law: Part I:
https://youtu.be/PvKZrvnAMAU
- Lecture 25: 11/10/17: Wigner Combinatorics and Catalan Numbers:
https://youtu.be/JmXX_N7oYLw
- Lecture 26: 11/13/17:
Wigner Combinatorics III: Contributions of Configurations and Moments of
Semi-Circle:
https://youtu.be/Rzkzho023Hk
- Lecture 27: 11/15/17:
Wigner Combinatorics IV, Distribution of Eigenvalues I:
https://youtu.be/pJShOxNRGZc
- Lecture 28: 11/17/17: Gaussian Orthogonal Ensemble (Part I):
https://youtu.be/sUdbCwrudL8
- Lecture 29: 11/20/17: GOE Joint Density I, Integration Challenge:
https://youtu.be/kUtFBg9IeGI
- Lecture 30: 11/25/17: GOE nxn case, Vandermonde Matrices:
https://youtu.be/ub4hcv30zpU
- Lecture 31: 11/27/17: Weierstrass continuous but nowhere differentiable
function:
https://youtu.be/GCCCPGQ2ncE
- Lecture 32: 11/29/17:
Uncertainty Principle (from 2013):
http://youtu.be/y_AXASHUHE8
- Lecture 33: 12/0417: Isoperimetric Inequality and Green's Theorem:
https://youtu.be/6-aO8fT50Ms (Green's
theorem in a day:
https://www.youtube.com/watch?v=Iq-Og1GAtOQ)
♦
Interesting news articles involving math (see also the
course disclaimer about not suing me!)
♦
Interesting videos
♦
Course disclaimer
- I may occasionally say things such as
`Probability is one of the most useful courses you can take' or 'If you know
probability, stats and a programming language then you'll always be able to
find employment'. I really should write `you should always be able to find
employment', as nothing is certain. Thus, please consider yourself warned
and while you may savor the thought of suing me and/or Williams College, be
advised against this! I'm saying this because of the recent lawsuit of a
graduate who was upset that she didn't have a job, and sued her school!