Compilation··3:29·Functional analysis

Tingley's Problem, Separable Quotient Problem and 8 More in Functional Analysis

Compilation · 3:29 · 16 October 2026Watch on YouTube →

Watch on YouTubeAbout the problem →

About this video

10 results from OpenAI's public mathematics catalogue, one per chapter. Each chapter names the problem, shows the real objects, and states what OpenAI claims; none of it is peer reviewed yet.

Chapters:
0:00 Tingley's Problem
0:20 Separable Quotient Problem
0:41 Cotype–Cotype Conjecture
1:03 Metric Entropy Duality Conjecture
1:24 Kalton's Question
1:45 Ball's Extension Problem for L1
2:06 Lipschitz Equivalent Banach Spaces Need Not Be Linearly Isomorphic
2:26 Markov Type Characterizes Superreflexivity
2:47 Kirk's Fixed Point Problem
3:08 Reflexive Spaces

Tingley's Problem: There are many ways to measure length: the usual round distance, the biggest coordinate, or the sum of the coordinates.
Explained: gradientdamage.com/p/322
Paper: github.com/openai/math/blob/main/preprints/A-positive-solutio…

Separable Quotient Problem: Since the days of Banach, functional analysts have asked whether every infinite-dimensional Banach space can be squashed by a quotient map onto a separable infinite-dimensional space.
Explained: gradientdamage.com/p/323
Paper: github.com/openai/math/blob/main/preprints/Relative-independe…

Cotype–Cotype Conjecture: Rademacher type and cotype measure how random-sign sums of vectors grow in a Banach space.
Explained: gradientdamage.com/p/326
Paper: github.com/openai/math/blob/main/preprints/The-cotype-cotype-…

Metric Entropy Duality Conjecture: Metric entropy measures how many small copies of one shape it takes to cover another.
Explained: gradientdamage.com/p/329
Paper: github.com/openai/math/blob/main/preprints/Counterexamples-to…

Kalton's Question: The Lipschitz-free space of a metric space turns its points into vectors, with the distance between two points becoming the distance between their vectors.
Explained: gradientdamage.com/p/330
Paper: github.com/openai/math/blob/main/preprints/Failure-of-Bounded…

Ball's Extension Problem for L1: Send a few points from round (Euclidean) space into taxicab space, where distance runs only along the grid.
Explained: gradientdamage.com/p/332
Paper: github.com/openai/math/blob/main/preprints/Metric-Markov-Coty…

Lipschitz Equivalent Banach Spaces Need Not Be Linearly Isomorphic: OpenAI claims a negative answer to the separable Lipschitz isomorphism problem: there are separable real Banach spaces that are globally bi-Lipschitz equivalent but not linearly isomorphic.
Explained: gradientdamage.com/p/324
Paper: github.com/openai/math/blob/main/preprints/Lipschitz-Equivale…

Markov Type Characterizes Superreflexivity: Let a random walk wander inside a space.
Explained: gradientdamage.com/p/327
Paper: github.com/openai/math/blob/main/preprints/Nontrivial-Markov-…

Kirk's Fixed Point Problem: A map is nonexpansive if it never pulls two points further apart.
Explained: gradientdamage.com/p/328
Paper: github.com/openai/math/blob/main/preprints/Fixed-Points-of-No…

Reflexive Spaces: A diamond graph starts with a single link between two poles, replaces it by many parallel two-step paths, and then does the same to every new link, again and again.
Explained: gradientdamage.com/p/331
Paper: github.com/openai/math/blob/main/preprints/Asymptotic-midpoin…

The animations illustrate the results; they are not proofs.

Gradient Damage: mathematics you can see, equations you can hear.
youtube.com/@gradientdamage

Chapters

One problem per chapter. Each name links to the result's own page, each time to that moment on YouTube.

  1. Tingley's Problem Functional analysis
  2. Separable Quotient Problem Functional analysis
  3. Cotype–Cotype Conjecture Functional analysis
  4. Metric Entropy Duality Conjecture Functional analysis
  5. Kalton's Question Functional analysis
  6. Ball's Extension Problem for L1 Functional analysis
  7. Lipschitz Equivalent Banach Spaces Need Not Be Linearly Isomorphic Functional analysis
  8. Markov Type Characterizes Superreflexivity Functional analysis
  9. Kirk's Fixed Point Problem Functional analysis
  10. Reflexive Spaces Functional analysis

Chapter 1: about the problem

Functional analysis·OpenAI Math·Result 322

Tingley’s sphere-isometry problem

Resolves Tingley's problem: every surjective isometry between the unit spheres of nonzero real Banach spaces extends uniquely to a surjective real-linear isometry of the whole spaces. No dimension restriction is imposed, so the metric geometry of the unit sphere determines the Banach space up to linear isometry. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 2: about the problem

Functional analysis·OpenAI Math·Result 323·from 0:20

Independence of the separable quotient problem

Establishes, relative to the consistency of a measurable cardinal, that the separable quotient problem is independent of ZFC. The assertion that every infinite-dimensional Banach space has a separable infinite-dimensional quotient can hold for all real and complex Banach spaces, whereas the continuum hypothesis yields counterexamples over both fields. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 3: about the problem

Functional analysis·OpenAI Math·Result 326·from 0:41

The cotype–cotype conjecture under the approximation property

Resolves the cotype–cotype conjecture for real Banach spaces with the approximation property. Such a nonzero space is K-convex if and only if both it and its dual have finite Rademacher cotype, with possibly different exponents. Equivalently, these cotype assumptions force nontrivial Rademacher type. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 4: about the problem

Functional analysis·OpenAI Math·Result 329·from 1:03

A counterexample to metric-entropy duality

Disproves Pietsch's dimension-free duality conjecture for metric entropy. Origin-symmetric convex bodies violate every proposed choice of universal constants in the conjectured comparison between covering numbers and those of the polar bodies, even when the covering body is a cube. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 5: about the problem

Functional analysis·OpenAI Math·Result 330·from 1:24

A uniformly discrete counterexample to bounded approximation in Lipschitz-free spaces

Constructs a countable uniformly discrete metric space whose real Lipschitz-free Banach space has the approximation property but not the bounded approximation property, answering Kalton's question negatively. Finite-rank operators approximate the identity on every compact set, but their norms cannot share a finite bound. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 6: about the problem

Functional analysis·OpenAI Math·Result 332·from 1:45

Metric Markov cotype of ℓ1 and Hilbert-space Lipschitz extension

Proves that real ℓ1 has metric Markov cotype two, answering Mendel and Naor's question. Consequently, every Lipschitz map from an arbitrary subset of a real Hilbert space into ℓ1 extends to the whole space with a universal multiplicative loss in its Lipschitz constant, resolving Ball's extension problem for this target.

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 7: about the problem

Functional analysis·OpenAI Math·Result 324·from 2:06

Lipschitz equivalent Banach spaces need not be linearly isomorphic

Constructs separable real Banach spaces that are globally bi-Lipschitz equivalent but not linearly isomorphic, resolving the separable Lipschitz-isomorphism problem negatively. Thus even the complete metric structure up to bi-Lipschitz equivalence does not determine a separable Banach space's linear isomorphism class. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 8: about the problem

Functional analysis·OpenAI Math·Result 327·from 2:26

Markov type characterizes superreflexivity

Proves that every real Banach space with Markov type p for some p > 1 admits an equivalent uniformly convex norm, answering Naor's renorming question. Together with the known converse, this characterizes superreflexivity by nontrivial Markov type. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 9: about the problem

Functional analysis·OpenAI Math·Result 328·from 2:47

Nonexpansive fixed points in reflexive Banach spaces

Resolves Kirk's reflexive-space fixed-point problem: every nonexpansive selfmap of a nonempty closed bounded convex subset of a real reflexive Banach space has a fixed point. The result uses the original norm, without assuming uniform convexity. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Chapter 10: about the problem

Functional analysis·OpenAI Math·Result 331·from 3:08

Reflexive midpoint convexity and diamond distortion

Constructs a real reflexive Banach space with an asymptotically midpoint uniformly convex norm but no equivalent asymptotically uniformly convex norm, extending Baudier's separation to reflexive spaces. In the same space, depth-k countably branching diamonds require distortion at least √(1+k/12), so midpoint uniform convexity does not force uniformly bounded diamond distortion even under reflexivity. (Lean)

OpenAI, in its public catalogue of maths results · preprint, not peer reviewed

The papers and the claim →

Topics

Tingley's problemseparable quotient problemcotypemetric entropyLipschitz-free spacemetric Markov cotypeBanach spacesMarkov typefixed point theoremdiamond graphsFunctional analysisOpenAI mathAI proofAI mathematicsmathsGradient Damage