
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
About this video
3Blue1Brown's chapter on eigenvectors and eigenvalues in the Essence of Linear Algebra series. It builds a visual intuition for what they mean, why an eigenbasis is useful, and ends with a puzzle.
Why it appears in the archive
HN repeatedly names it the best, most intuitive explanation of eigenvalues, and a gateway to the whole linear algebra series.
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From the Hacker News discussion
On the topic of eigenvalues, this video is a very nice introduction: [VIDEO] (the whole playlist kicks ass; highly recommended for anyone interested in "seeing" what linear algebra is all about)
Read original comment ↗3Blue1Brown explanation of eigenvectors and eigenvalues is very insightful and intuitive [1]. One of my favorite videos from his channel is "Who cares about topology? (Inscribed rectangle problem)" [2]. They way a Torus and Möbius Strip come up as solution to the problem is so elegant. [1]: [VIDEO] [2]: [LINK]
Read original comment ↗A far easier to digest primer on eigenvalues is available from 3Blue1Brown [+]. His presentation format is undeniably approachable, so much so that I think you could probably use it to teach linear algebra and eigenvectors to 9-year olds. [+] [VIDEO]
Read original comment ↗By far the best explanation of eigenvalues is found on 3blue1brown: [VIDEO] Seriously, the course on the essence of linear algebra did more for me than my entire college linear algebra course. It's only a pity I discovered the videos at the end of my mechanical engineering degree and not sooner.
Read original comment ↗Then definitely what 3Blue1Brown's video on eigenvalues and eigenvectors. [1] That's when I clicked to me! His entire series on Linear Algebra is incredibly well produced. [1] [VIDEO]
Read original comment ↗3Blue1Brown has a good series on YouTube for building intuition in linear algebra: [LINK] In one of the last videos in the (relatively short) series, he discusses eigen-*: ~'eigen-stuffs are straight-forward but only make sense if you have a solid visual understanding of the pre-requisites (linear transformations, determinants, linear systems of equations, change of basis, etc.). Confusion about eigen-stuffs usually has more to do with a shaky foundation than the eigen-things themselves' [VIDEO] All of the videos in the series, including this later one on eigen-things, focus on animations to show what the number crunching is doing to the coordinate system.
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