Jordan Ellenberg: Mathematics of High-Dimensional Shapes and Geometries | Lex Fridman Podcast #190

Jordan Ellenberg: Mathematics of High-Dimensional Shapes and Geometries | Lex Fridman Podcast #190

Lex Fridman PodcastJun 13, 20212h 41m

Lex Fridman (host), Jordan Ellenberg (guest), Lex Fridman (host), Lex Fridman (host), Lex Fridman (host)

Mathematics, language, and visualization in human cognitionGeometry, topology, and the nature of high-dimensional spacesSymmetry, group theory, and invariance in math and physicsPrime numbers, randomness heuristics, and Fermat’s Last TheoremPoincaré, Perelman, and the Poincaré conjecture/topologyConway, cellular automata, and complexity from simple rulesAI, distance metrics, and how machines (and humans) recognize patternsMath education, contests, and how people fall in love (or don’t) with geometry

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Jordan Ellenberg, Jordan Ellenberg: Mathematics of High-Dimensional Shapes and Geometries | Lex Fridman Podcast #190 explores geometry, Symmetry, and Higher Dimensions: Math as Human Exploration Lex Fridman and mathematician Jordan Ellenberg explore how geometry, symmetry, and high-dimensional spaces illuminate both pure mathematics and real-world phenomena. They discuss the relationship between language, visualization, and mathematical thought, using examples from simple shapes, prime numbers, topology, and Poincaré’s work on higher dimensions.

Geometry, Symmetry, and Higher Dimensions: Math as Human Exploration

Lex Fridman and mathematician Jordan Ellenberg explore how geometry, symmetry, and high-dimensional spaces illuminate both pure mathematics and real-world phenomena. They discuss the relationship between language, visualization, and mathematical thought, using examples from simple shapes, prime numbers, topology, and Poincaré’s work on higher dimensions.

Key stories include Ellenberg’s childhood revelation about multiplication via a stereo speaker grille, the famous “how many holes does a straw have?” puzzle, and deep dives into symmetry, group theory, and the role of alternative distance notions like p-adic metrics. They also connect math to AI, such as how symmetry and similarity relate to handwritten digit recognition and neural networks.

The conversation highlights major mathematical milestones, including Poincaré’s three-body work and conjecture, Perelman’s proof, Fermat’s Last Theorem and Wiles’ approach, and Conway’s Game of Life. Throughout, Ellenberg stresses that math’s real goal is understanding, not just theorem production, and that its history is inseparable from human culture, politics, and personality.

Key Takeaways

Mathematical thinking is deeply tied to both language and visualization.

Ellenberg notes it’s hard to imagine doing math without linguistic propositions, yet many proofs (like Bhaskara’s visual proof of Pythagoras) operate almost purely visually—suggesting math is a process of structured manipulation, whether of words or images.

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Symmetry and invariance are central organizing ideas in modern mathematics.

Group theory generalizes everyday symmetry (like mirror or rotational symmetry) into abstract transformations; much of contemporary math and physics asks, “Under which transformations do our objects and laws stay the same?”

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Geometry and topology require rethinking what it means for spaces to be ‘the same.’

Examples like mugs vs cups, pants vs straws, and higher-dimensional phase space show that ‘sameness’ is often about deformability (no tearing/gluing) and intrinsic properties like simple connectivity, not superficial appearance or embedding.

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Alternative notions of distance can unlock powerful new insights.

The p-adic metric, where numbers are ‘close’ if their difference is divisible by a high power of a prime, underlies key parts of Wiles’ Fermat proof and illustrates how changing the distance function can reveal structure invisible in the usual real-number metric.

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Randomness is a crucial heuristic for understanding deterministic structures like primes.

Although primality is fully deterministic, treating primes as if randomly distributed (with a specific density) helps formulate conjectures like the twin prime conjecture and avoid wasting effort trying to prove likely-false statements.

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Much deep progress comes from stepping up a level to study ‘spaces of spaces.’

Perelman’s proof of the Poincaré conjecture doesn’t just analyze one 3D shape; it studies the geometry of the entire space of 3D geometries via Ricci flow, a pattern that recurs across modern geometry and topology.

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Math is a human, historical activity shaped by culture, politics, and personality.

Stories of Poincaré in post–Franco-Prussian War France, Soviet math romanticism, Galois’ emo letters, Conway’s playful genius, and Perelman’s refusal of prizes all underscore that mathematical ideas emerge from very human contexts and motivations.

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Notable Quotes

Geometry is the cilantro of math. People are not neutral about it.

Jordan Ellenberg

Mathematics is the art of calling different things by the same name.

Henri Poincaré (quoted by Jordan Ellenberg)

Knowing mathematics is like wearing a pair of X-ray specs that reveal hidden structures underneath the messy and chaotic surface of the world.

Jordan Ellenberg (quoted by Lex Fridman)

The goal of mathematics is to help humans understand things. Proving theorems is how we test that understanding, but it’s not the goal.

Jordan Ellenberg (paraphrasing his and Thurston’s view)

Real things are not simple. A few things are. Most are not.

Jordan Ellenberg

Questions Answered in This Episode

If math and language are both processes of structured manipulation, what does that imply about the kinds of cognition AI systems would need to truly ‘do mathematics’?

Lex Fridman and mathematician Jordan Ellenberg explore how geometry, symmetry, and high-dimensional spaces illuminate both pure mathematics and real-world phenomena. ...

Get the full analysis with uListen AI

How far can we push the idea of treating deterministic objects (like primes or cellular automata) as random before the analogy breaks down and misleads us?

Key stories include Ellenberg’s childhood revelation about multiplication via a stereo speaker grille, the famous “how many holes does a straw have? ...

Get the full analysis with uListen AI

In what other domains—beyond physics and number theory—might unconventional distance metrics (like p-adic or semantic distances) reveal hidden structure?

The conversation highlights major mathematical milestones, including Poincaré’s three-body work and conjecture, Perelman’s proof, Fermat’s Last Theorem and Wiles’ approach, and Conway’s Game of Life. ...

Get the full analysis with uListen AI

What does Perelman’s and others’ rejection of major prizes say about how we should value and incentivize mathematical work as a society?

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Could visual and computational tools (like 3Blue1Brown-style animations or cellular automata explorations) eventually change what counts as ‘doing mathematics’ in research, not just in education?

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Transcript Preview

Lex Fridman

The following is a conversation with Jordan Ellenberg, a mathematician at University of Wisconsin and an author who masterfully reveals the beauty and power of mathematics in his 2014 book How Not To Be Wrong, and his new book just released recently called SHAPE: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else. Quick mention of our sponsors: Secret Sauce, ExpressVPN, Blinkist, and Indeed. Check them out in the description to support this podcast. As a side note, let me say that geometry is what made me fall in love with mathematics when I was young. It first showed me that something definitive could be stated about this world through intuitive, visual proofs. Somehow that convinced me that math is not just abstract numbers devoid of life, but a part of life, part of this world, part of our search for meaning. This is the Lex Fridman podcast, and here is my conversation with Jordan Ellenberg. If the brain is a cake-

Jordan Ellenberg

It is? (laughs)

Lex Fridman

Okay. (laughs) Well, let's just, let's just go with me on this, okay?

Jordan Ellenberg

Okay. We'll pause it.

Lex Fridman

So for Noam Chomsky, um, language, the universal grammar, the framework from which language springs i- is like most of the cake, the delicious chocolate center, and then the rest of cognition that we think of is built on top, extra layers, maybe the icing on the cake, maybe just, um, maybe consciousness is just like a cherry on top. Uh, f- where do you put in this cake, uh, mathematical thinking? Is it as fundamental as language in the Chomsky view? Is it more fundamental than language? Is it echoes of the same kind of abstract framework does he- he's thinking about in terms of language that they're all, like, really tightly interconnected?

Jordan Ellenberg

That's a really interesting question. You're getting me to reflect on this question of whether the feeling of producing mathematical output, if you want, is like the process of, you know, uttering language or producing linguistic output. I think it feels something like that, and it's certainly the case... Let me put it this way. It's hard to imagine doing mathematics in a completely non-linguistic way. It's hard to imagine doing mathematics without talking about mathematics and sort of thinking in propositions. But, you know, maybe it's just because that's the way I do mathematics (laughs) and maybe I can't imagine it any other way, right? It's a...

Lex Fridman

Well, what about visualizing shapes, visualizing concepts to which language is not obviously attachable?

Jordan Ellenberg

Ah, that's a really interesting question. And, you know, one thing it reminds me of is one thing I talk about, uh, in the book, is dissection proofs, these very beautiful proofs of geometric propositions. Um, there's a very famous one by Bhaskara of the, the Pythagorean theorem. Um, proofs which are purely visual, proofs where you show that, uh, two quantities are the same by taking the same pieces and putting them together one way, uh, and making one shape, and putting them together another way and making a different shape, and then observing those two shapes must have the same area because they were built out of the same pieces. Um, you know, there's a, there's a famous story, and it's a little bit disputed about how accurate this is, but that in Bhaskara's manuscript he sort of gives this proof, just gives the diagram, and then the, uh, the entire, uh, verbal content of the proof is he just writes under it, "Behold."

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