23 épisodes
(5 h 45 min)
Filtrer
Saison 6
Saison 2015
Saison 2016
Saison 2017
Saison 2018
Saison 2019
Saison 2020
Saison 2021
Saison 2022
Saison 2023
Saison 2024
Saison 2026
Épisodes
S2016 E6 • Essence of linear algebra - Ch01 - Vectors, what even are they?
I imagine many viewers are already familiar with vectors in some context, so this video is intended both as a quick review of vector terminology, as well as a chance to make sure we're all on the same page about how specifically to think about vectors in the context of linear algebra.
Première diffusion : 5 août 2016
S2016 E7 • Essence of linear algebra - Ch02 - Linear combinations, span, and basis vectors
The fundamental vector concepts of span, linear combinations, linear dependence, and bases all center on one surprisingly important operation: Scaling several vectors and adding them together.
Première diffusion : 6 août 2016
S2016 E10 • Essence of linear algebra - Footnote - Three-dimensional linear transformations
What do 3d linear transformations look like? Having talked about the relationship between matrices and transformations in the last two videos, this one extends those same concepts to three dimensions.
Première diffusion : 9 août 2016
S2016 E12 • Essence of linear algebra - Ch06 - Inverse matrices, column space and null space
How to think about linear systems of equations geometrically. The focus here is on gaining an intuition for the concepts of inverse matrices, column space, rank and null space, but the computation of those constructs is not discussed.
Première diffusion : 15 août 2016
S2016 E13 • Essence of linear algebra - Footnote - Nonsquare matrices as transformations between dimensions
Because people asked, this is a video briefly showing the geometric interpretation of non-square matrices as linear transformations that go between dimensions.
Première diffusion : 16 août 2016
S2016 E14 • Essence of linear algebra - Ch07 - Dot products and duality
Dot products are a nice geometric tool for understanding projection. But now that we know about linear transformations, we can get a deeper feel for what's going on with the dot product, and the connection between its numerical computation and its geometric interpretation.
Première diffusion : 24 août 2016
S2016 E16 • Essence of linear algebra - Ch08 - Cross products in the light of linear transformations, part 2
For anyone who wants to understand the cross product more deeply, this video shows how it relates to a certain linear transformation via duality. This perspective gives a very elegant explanation of why the traditional computation of a dot product corresponds to its geometric interpretation.
Première diffusion : 31 août 2016
S2016 E19 • Essence of linear algebra - Ch11 - Abstract vector spaces
The tools of linear algebra are extremely general, applying not just to the familiar vectors that we picture as arrows in space, but to all sorts of mathematical objects, like functions. This generality is captured with the notion of an abstract vector space.
Première diffusion : 24 septembre 2016
S2016 E20 • Who cares about topology? (Inscribed rectangle problem)
An unsolved conjecture, the inscribed square problem, and a clever topological solution to a weaker version of the question, the inscribed rectangle problem (Proof due to H. Vaughan, 1977), that shows how the torus and mobius strip naturally arise in mathematical ponderings.
Première diffusion : 4 novembre 2016
S2016 E22 • Binary, Hanoi, and Sierpinski, part 2
After seeing how binary counting can solve the towers of Hanoi puzzle in the last video, here we see how ternary counting solve a constrained version of the puzzle, and how this gives a way to walk through a Sierpinski triangle graph structure.
Première diffusion : 25 novembre 2016

























