sritchie
> Given a 3-liter container and a 5-liter container, both initially empty, and access to tap water, how can you measure exactly 4 liters of water without using any additional containers
I've offered and received some convoluted metaphors recently, love leaning hard into this one.
Imagine you could perfectly recover with some intervention. Then weight lifting no longer works!
For examples like the ones you listed, peak performances where you’re not concerned about gainz and maybe even have to perform again soon after, it makes a lot of sense to do anything to recover quickly.
Also the MIT scheme install was historically quite hairy and not supported on M1 Macs, for example.
I’ll update the docs here. Thanks!
Point well taken from tonyarkles that on-boarding and docs need work. My big goals for this project were:
1. finish a 100% port of Gerald Sussman's scmutils algebra system into the browser via ClojureScript (I'm at ~98% or so?)
2. attach a 2D and 3D visualization system, and use the very-high-level physics abstractions to generate fast, interactive animations
3. make this all editable in the browser
4. write a ton of physics lessons and essays using the system
1-3 are all done, 4 is going to happen, but job + young twins are slowing me down now.
The easiest way to play with 1-3 is via the demos I shared at Strange Loop this past year, all of which run in the browser.
The first two live in Maria.cloud, which has all of Emmy available on any page. So fork these, play and share:
- First-Class Visualizations: https://2.maria.cloud/gist/30dbb25a2d2eb7324e0aad1097c459ae
- MathBox + Emmy at Strange Loop: https://2.maria.cloud/gist/0405c3427c88326a181b307371f939bc
These live in an editable version of a Clerk notebook with a less-polished UI:
- Taylor Series: https://sritchie.github.io/strange-loop-2023/notebooks/stl/t...
- Dual Number Visualization: https://sritchie.github.io/strange-loop-2023/notebooks/stl/d...
- (p, q) torus knot: https://sritchie.github.io/strange-loop-2023/notebooks/stl/p...
- Phase Portrait of the Pendulum: https://sritchie.github.io/strange-loop-2023/notebooks/stl/p...
- Geodesics of a Torus: https://sritchie.github.io/strange-loop-2023/notebooks/stl/t...
- Geodesics Klein bottles: https://sritchie.github.io/strange-loop-2023/notebooks/stl/k...
- Animated Particle on an Ellipsoid: https://sritchie.github.io/strange-loop-2023/notebooks/stl/e...
See https://sritchie.github.io/emmy/src/emmy/differential.html for detail!
There's still not a great map of the project (from primitives to general relativity), but many of the namespaces are written as literate programming explorations: https://emmy.mentat.org/#explore-the-project
Here's the automatic differentiation implementation/essay, for example: https://sritchie.github.io/emmy/src/emmy/differential.html
A rough sketch of the tower is:
- `emmy.value` and `emmy.generic` implement the extensible generic operations
- `emmy.ratio`, `emmy.complex` and `emmy.numbers` fleshes out the numeric tower
- `emmy.expression` and `emmy.abstract.number` add support for symbolic literals
Next we need an algebraic simplifier...
- `emmy.pattern.{match,rule,syntax} give us a pattern matching language
- `emmy.simplify.rules` adds a ton of simplification rules, out of which
- `emmy.simplify` builds a simplification engine
Actually the simplifier has three parts... the first two start in `emmy.rational-function` and `emmy.polynomial` and involve converting an expression into either a polynomial or a rational function and then back out, putting them into "canonical form" in the process. That will send you down the rabbit hole of polynomial GCD etc...
And on and on! I'm happy to facilitate any code reading journey you go on or chat about Emmy or the original scmutils, feel free to write at sam [at] mentat.org, or else visit the Discord I run for the project at https://discord.gg/hsRBqGEeQ4.
Thanks to https://2.maria.cloud, everything in SICM and FDG works in the browser as well: https://2.maria.cloud/gist/d3c76ee5e9eaf6b3367949f43873e8b2
Clerk has been fantastic for rendering 2D and 3D... I just finished a 3D graphics API and am frankly blown away at how great Clerk made this experience.
Here are my recent 3D rendering "tester" Clerk notebooks (over MathBox), for fun:
- https://emmy-viewers.mentat.org/dev/examples/manifold/pq_kno...
- https://emmy-viewers.mentat.org/dev/examples/mathbox/functio...
- https://emmy-viewers.mentat.org/dev/examples/manifold/fdg
- https://emmy-viewers.mentat.org/dev/examples/manifold/pq_kno...
And another Clerk notebook with a bunch of calculus etc in 2D scenes, over Mafs.dev:
I would really like to publish essays like this in an environment like Maria: https://2.maria.cloud/curriculum/clojure-with-shapes , with the ability to duck out to my own editor when I'm ready to graduate.
I'm happy to talk more about this if you like!
This was just an oversight from me trying to cram in too much writing, and I'll fix it tonight once the kids are down. I explained the intended connection in a different comment — basically I started the newsletter with the goal of reading Penrose's book, doing all the exercises and trying to build out a community reading it together.
But my notes were just as confusing as the book, so I spent 3 years working on a port of Sussman's computer algebra system and sewing it together with this notebook engine, MathBox for 3D rendering, Mafs, Leva, MathLive, and JSXGraph and Reagent for a declarative way of sharing state between everyone.
Then I pieced it all together in this essay, tried to keep it concise, and blew it by not filling in the whole genesis story and GOAL of following Penrose.
I'll add that, and I will cover chapters of the book too!
I DID start the newsletter thinking I would read Road to Reality and get a community going around the book, and I still want to do that! What happened there was when I tried to talk about the book to anyone that wasn't already dialed on the math I was learning (close family, my wife, software engineer friends) I found that I couldn't communicate what I thought was so beautiful about the book and Penrose's development.
I wanted interactive visualizations that could run in the browser to function as little set pieces, so I could set them down and say
- look, this is what I mean!, and
- Here, you take the controls, let's play!
TRTR will come in, mixed in, I hope, with executable Feynman Lectures etc...
Hopefully that helps fill in some context that I left out!
Road to Reality Executable Essay
For the first point, I went through the book long enough ago that I can't rebuild the proof here, but iirc the more rigorous idea is that you can construct a bijection between 1+ω and ω given the recipe I had above for how to represent numbers as sets, but you can't do it for ω+1, which is bijective with ω∪{ω}. The axiom of infinity declares that ω itself is a set, opening the door for transfinite numbers.
Better?
But your question actually hints at my most profound takeaway from that whole book. I think what you're saying is right, AND that foundations-of-mathematics folks spent a long intense period searching for different set theory axioms that did NOT lead to transfinite numbers. But anything anyone could come up with that included "the axiom of infinity" led to transfinites leaking in.
Which begs the question of how to think about these things. Are they "real"? Are they an oddball side effect that we shouldn't take seriously?
I think you've arrowed right to the philosophical heart of all of this.
A number is represented in set theory as a set that contains all of the numbers before it. 0, 1, 2 is {}, {{}}, {{} {{}}}...
SO! If you start with a finite "a" and increment it infinite times, you still have infinity; you haven't broken out.
But if you start with Infinity, then adding anything to it gives you {Infinity}, {Infinity {Infinity}}, etc...
Transfinite addition is not commutative!
I've been working for a couple of years on a computer algebra system written in Clojure (named "Emmy") designed for writing this like. It's a port of Gerald Sussman's scmutils library, plugged in to a bunch of modern graphics libraries.
Here are a few examples, shamefully lacking exposition since much of this is JUST working and I was powering through demos for a talk:
- particle in a quartic potential well: https://sritchie.github.io/clojure-conj-2023/notebooks/conj/...
- Phase Portrait of the Pendulum: https://sritchie.github.io/clojure-conj-2023/notebooks/conj/...
- Colin's torus geodesics: https://sritchie.github.io/clojure-conj-2023/notebooks/conj/...
- Taylor Series https://sritchie.github.io/clojure-conj-2023/notebooks/conj/...
- (p, q) torus knot: https://sritchie.github.io/clojure-conj-2023/notebooks/conj/...
- Dual Number Visualization: https://sritchie.github.io/clojure-conj-2023/notebooks/conj/...
I'd love a textbook like the one you link above with figures that feel almost like Kerbal games, powered by the real code in the book that is ALSO generating the math you see.
See https://github.com/mentat-collective/emmy for more information if this is interesting.
(Literate) Numerical Differentiation in Clojure
https://emmy-viewers.mentat.org/dev/examples/simulation/quar...
https://emmy-viewers.mentat.org/dev/examples/simulation/toro...
Use.GPU looks like it will be close to a drop-in replacement for MathBox, running on WebGPU. Maybe someday I’ll actually be able to build my general relativistic ray tracer, with explorable symbolic physics all the day down…