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    Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra

    3Blue1Brown

    6 HN recommenders · recommended in 5 months, 2016–2025

    YouTube

    17:16 · 6.4M views · Sep 15, 2016

    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.

    HN repeatedly names it the best, most intuitive explanation of eigenvalues, and a gateway to the whole linear algebra series.

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    6 comments from Hacker News

    1. @yamanekoFeb 2017· in “The Essence of Linear Algebra [video]”

      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]: this video [2]: [LINK]

      Strongly recommendsView on HN
    2. @scmittonNov 2022· in “What is an eigenvalue?”

      By far the best explanation of eigenvalues is found on 3blue1brown: this 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.

      Strongly recommendsView on HN
    3. @raydiatianNov 2022· in “What is an eigenvalue?”

      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. [+] this video

      Strongly recommendsView on HN
    4. @ivan_ahOct 2016· in “Meet the New Math, Unlike the Old Math”

      On the topic of eigenvalues, this video is a very nice introduction: this video (the whole playlist kicks ass; highly recommended for anyone interested in "seeing" what linear algebra is all about)

      Strongly recommendsView on HN
    5. @mportelaMar 2025· in “Statistical Formulas for Programmers (2013)”

      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] this video

      Strongly recommendsView on HN