Functional analysis·OpenAI Math·Result 327·Lean formalisation listed

Markov type characterizes superreflexivity

One of the 372 results in OpenAI's public mathematics catalogue, filed under functional analysis: 1 preprint, the latest dated 23 September 2026. This page quotes OpenAI's own summary of the claim, links the paper and abstract, and embeds the animation.

In one line: OpenAI reports a result titled ‘Markov type characterizes superreflexivity’ (functional analysis) in a preprint dated 23 September 2026. It has not been peer reviewed. The channel's animation, Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More, is on YouTube.

Compilation · 29:10 · 14 October 2026 · from 24:42Watch on YouTube →

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Chapter 72 of 84 in Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More · starts at 24:42 · watch from there on YouTube →

What OpenAI claims

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)

Paper

  1. Nontrivial Markov Type Forces Superreflexivity

    · Preprint, not peer reviewed · PDF

    OpenAI's abstract We prove that every real Banach space with Markov type p > 1 is superreflexive. Together with the known converse, this characterizes superreflexivity by nontrivial Markov type. This answers Naor's question: every real Banach space with nontrivial Markov type admits an equivalent uniformly smooth norm.

Status

Preprint. The paper has not been independently reviewed. Treat the result as OpenAI's claim until other mathematicians have checked it. If a video exists, it illustrates the statement; it is not the proof.

Quick answers

Is it proven?
Not independently yet. OpenAI posted a preprint on 23 September 2026; it has not been peer reviewed, so treat the result as OpenAI's claim until other mathematicians have checked it.
What exactly does OpenAI claim?
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)
Where is the proof?
In the paper, Nontrivial Markov Type Forces Superreflexivity (PDF).
Is there a video?
Yes, on YouTube (29:10, chapter 72).

Also in

The video

Every OpenAI Math Result, Part 4 of 4: L = BPL, Integer Multiplication and 82 More · Compilation · 29:10 · chapter 72 from 24:42 · description, sources and chapters →

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