OpenAI reports one matrix hitting point in every positive characteristic

Given a prime p in binary and positive n,s in unary, one deterministic polynomial-bit-time machine outputs a tuple of matrices over F_p of dimension O(n³s⁶) that detects every nonzero division-free noncommutative formula of size at most s in n variables over every field of characteristic p.

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OpenAI reports one matrix hitting point in every positive characteristic

  • Theoretical Computer Science

Given a prime p in binary and positive n,s in unary, one deterministic polynomial-bit-time machine outputs a tuple of matrices over F_p of dimension O(n³s⁶) that detects every nonzero division-free noncommutative formula of size at most s in n variables over every field of characteristic p.

AI involvementAI-led
ImportanceNotable
Technical verificationReported
Human understandingFew

Understanding the problem

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Given a prime p in binary and positive n,s in unary, one deterministic polynomial-bit-time machine outputs a tuple of matrices over F_p of dimension O(n³s⁶) that detects every nonzero division-free noncommutative formula of size at most s in n variables over every field of characteristic p.

Why it matters

If correct, supplies a polynomial-size universal black-box matrix test across every positive characteristic, including two.

What counts as progress

Can one universal polynomial-size matrix tuple detect all bounded-size noncommutative formulas in any prescribed positive characteristic?

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