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    Alex Kritchevsky

    alexkritchevsky.com · Personal blog · on HN since 2018

    Alex Kritchevsky writes essays explaining math and physics concepts, such as geometric algebra, Lagrange multipliers, and quantum mechanics.

    Visit blogRSSHN submissions
    MathPhysics
    What HN says

    HN commenters often cite his critical essay on geometric algebra, and also link his explainer on triple products.

    Stats for nerds
    18HN people shared it
    14linked in comments
    81story points
    Aug 2026last shared
    2022people per year2026

    Top posts on HN

    1. 1
      The Case Against Geometric Algebra
      8 people · 38 points · first shared 2024 · 12 comments on HN
    2. 2
      Everything Is Logarithms
      1 person · 21 points · first shared 2026 · Discussion on HN
    3. 3
      Aphantasia (and how not to do math in your head) (2019)
      3 people · 6 points · first shared 2021 · 2 comments on HN
    4. 4
      How to invert a matrix
      1 person · 3 points · first shared 2018 · Discussion on HN
    5. 5
      The Essence of Lagrange Multipliers
      1 person · 3 points · first shared 2024 · Discussion on HN
    6. 6
      Data Science Isn't Science
      1 person · 2 points · first shared 2025 · Discussion on HN
    7. 7
      Exterior Algebra #5: EA as Linearized Set Theory? (2019)
      1 person · 2 points · first shared 2024 · Discussion on HN
    8. 8
      Existence Is Pain
      1 person · 2 points · first shared 2018 · Discussion on HN
    9. 9
      The Essence of Quantum Mechanics
      1 person · 2 points · first shared 2020 · Discussion on HN
    10. 10
      The Zen of React
      2 people · 1 points · first shared 2022 · Discussion on HN

    What HN people wrote when they linked it

    • xelxebarJun 2026

      The baseless log here is just a torsor [0]!

      Lots of things are torsors: position, currency values, calendar dates etc. the vales themselves are arbitrary, and translating/scaling them by some value doesn't make a functional difference. Torsors let us talk about these things without needing to make such an arbitrary choice a priori.

      In the case of baseless logs, the underlying set is "information units", i.e. log 2 is bits, log e is nats, log 10 is digits, etc. The conversion factors give us the torsor's group, and picking a privileged unit is just a trivialization of the torsor.

      The vector division notation is, similarly, encoding a g-torsor in precisely the same way as length units are.

      The examples so far are all torsors with abelian groups, but specifying position both requires choosing an origin and a length unit. The group of this torsor is a suitable semidirect product between translation and scaling, which gives a non-abelian group.

      Most of the time we just implicitly choose a trivialization, which often causes confusion because it identifies objects with operations on them, e.g. conflating vectors as positions with vectors as translations. The author's treatise on problems with geometric algebra [1] even brings up this point!

      [0]:https://math.ucr.edu/home/baez/torsors.html

      [1]:https://alexkritchevsky.com/2024/02/28/geometric-algebra.html

    • gugagoreAug 2024

      By the way, I love your blog post https://alexkritchevsky.com/2024/02/28/geometric-algebra.html

      I didn't understand this part:

      > I strongly believe that if GA would make this distinction they would lose a lot fewer people. It is a completely interesting and useful thing to talk about “a representation of a particular class of operations that makes composition and inversion easy”, and completely offputting when you blur the distinction between operators and geometric objects themselves, and write every operation in terms of the geometric product when only a few of them are really compositions of operators.

      I can't tell what "a few of them" refers to. What is this potential distinction between operators and geometric objects? Sounds like the the distinction between a group action and a group object?

      I am willing to believe that GA is an unnecessary renaming of other simpler things, and also that it has these kind of culty vibes, but I'm focusing on the claim that (I understood as) "unifying the operators and geometric objects" is a bad feature rather than a good feature.

    • howlingFeb 2025

      An article that argues against GA: https://alexkritchevsky.com/2024/02/28/geometric-algebra.html

      TLDR:

      - GA tends to attract a lot of crackpot. In fact most mathematicians avoid the name Geoemtric algebra and call it Clifford algebra to disassociate with them.

      - Most of the usefulness of GA comes from just exterior algebra and exterior product/wedge product is more important than geometric product.

      - It shows up in spinor field in physics but this does not concern most people that do not work in quantum physics.

      My rudimentary view towards GA:

      - It is useful in game physics since rotors can represent n-dimensional rotation in 2^{n-1} numbers instead of n^2 numbers as 2^{n-1} < n^2 when n <= 6. You can use PGA if you want to add translation as well. It is also better in interpolation.

      - Outside of this you should just probably just learn exterior algebra instead.

    • bmc7505Feb 2022

      > "What are recent developments in linear algebra?"

      Have you heard of geometric algebra? It takes a while to wrap your head around, but unifies a lot of mathematics in a very elegant way. For instance, you can view Euclidean geometry as a special case, and concepts like quaternions and rotations can be explained in a very natural way. There are a few good resources below if you're interested.

      [0]: http://geometry.mrao.cam.ac.uk/2020/06/euclidean-geometry-and-geometric-algebra/

      [1]: https://www.youtube.com/watch?v=ipqKvNHnABs

      [2]: https://alexkritchevsky.com/2020/10/15/ea-operations.html

      [3]: https://www.youtube.com/playlist?list=PLpzmRsG7u_gqaTo_vEseQ7U8KFvtiJY4K

      [4]: https://crypto.stanford.edu/~blynn/haskell/ga.html

      [5]: https://bivector.net/

    • dist-epochFeb 2025

      > As for pure math—it seems like research mathematics readily talks about and uses Clifford Algebra, but is uninterested in or specificaly avoids the terms and concepts that are specific to Hestenes’ “Geometric Algebra”. I can speculate as to why: even by the 90s/00s, GA had gotten a bad reputation because of its tendency to attract bad mathematicians and full-on crackpots.

      https://alexkritchevsky.com/2024/02/28/geometric-algebra.html

    • evanbJun 2024

      Here's a critical take on geometric algebra: https://alexkritchevsky.com/2024/02/28/geometric-algebra.html

      tl;dr: GA's geometric product is a mixed-grade differential form, which is quite weird. Why not just think in terms of differential forms? Maxwell's equations are so sweetly summarized as dF=0 and d*F = J.

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