Hello Patrons!
A new linear algebra video is ready! In adding more videos to the series, I have two goals: 1) Fill in the gaps that I see within the topics of the original series, and 2) Go a bit beyond the elementary to a few powerful tools for linear algebra used a lot in practice. This one falls into the first category, specifically in that I never really talked about tactics for computing solutions to linear systems.
Cramer’s rule is often taught almost like a magic trick, where a random-seeming manipulation of what to do with the numbers in your system somehow yields the answer. However, there is a very beautiful geometric reason behind why this rule works. And even though it’s not the most computationally efficient way to solve larger systems, I still find it worth communicating, and worth a student’s time to learn, because of how it helps bring a few different ideas together. It's also a good gateway into topics like the adjugate matrix.
Also! The discovery-fiction style I chose here made for a great excuse to make a mention of orthonormal transformations, which also somehow never got mentioned in the original series.
Furthermore, as a little bonus, I made a couple things providing solutions to puzzles I gave at the end of some videos in the series. Here's a quick video (hidden, just for you guys for now) talking through what I had in mind when posing the question at the end of the determinants video. And here's a writeup of the puzzle posed at the end of the eigenvectors video. These seem good just to have around for occasions where I might want to integrate the series into some other platform or course.
Thanks for the continued support!
- Grant
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