Compilation··3:29·Functional analysis
Tingley's Problem, Separable Quotient Problem and 8 More in Functional Analysis
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.
- Tingley's Problem Functional analysis
- Separable Quotient Problem Functional analysis
- Cotype–Cotype Conjecture Functional analysis
- Metric Entropy Duality Conjecture Functional analysis
- Kalton's Question Functional analysis
- Ball's Extension Problem for L1 Functional analysis
- Lipschitz Equivalent Banach Spaces Need Not Be Linearly Isomorphic Functional analysis
- Markov Type Characterizes Superreflexivity Functional analysis
- Kirk's Fixed Point Problem Functional analysis
- 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)
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)
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)
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)
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)
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.
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)
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)
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)
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)
Topics
Tingley's problemseparable quotient problemcotypemetric entropyLipschitz-free spacemetric Markov cotypeBanach spacesMarkov typefixed point theoremdiamond graphsFunctional analysisOpenAI mathAI proofAI mathematicsmathsGradient Damage