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Uniform identity testing for noncommutative formulas
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Category:Theoretical computer science Lean version:YES! ✔
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Uniform black-box noncommutative identity testing across characteristics. For each characteristic, constructs in deterministic polynomial bit time a polynomial-dimensional matrix tuple detecting every nonzero division-free noncommutative formula of bounded size over any field of that characteristic. Rational formulas over ℚ also admit polynomial-size hitting lists whenever they have a defined rational-matrix evaluation.

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released 2026-10-04  |  2 theorems · 4 lemmas · 9 proofs · 5,750 words  |  PLAY LEVEL 1 »  (pdf)
We construct a single matrix substitution that detects every nonzero size-s division-free noncommutative formula in n variables over every field of a given positive characteristic. One deterministic machine, given a promised prime p in binary and n, s in unary, outputs matrices over 𝔽p of dimension $O(n^3s^6)$ in polynomial bit time. The same tuple works with arbitrary extension-field coefficients, including in characteristic two. The construction also applies to the stated acyclic algebraic path programs.
released 2026-09-24  |  2 theorems · 3 lemmas · 6 proofs · 5,500 words  |  PLAY LEVEL 2 »  (pdf)
We construct, in deterministic polynomial bit time, one tuple of rational matrices that detects every nonzero polynomial computed by a noncommutative division-free formula of a prescribed size. The matrices have dimension $O(ns^2)$ for n variables and formula size s, and the same tuple works over every field of characteristic zero.
released 2026-09-24  |  1 theorem · 6 lemmas · 14 proofs · 10,906 words  |  PLAY LEVEL 3 »  (pdf)
We construct, in deterministic polynomial bit time, a polynomial-size list of rational matrix tuples for noncommutative rational formulas over ℚ of bounded tree size. Every nonzero admissible formula has a defined, invertible value at one tuple, with no separate bounds on inverse nesting or rational constant heights. Matrix dimensions, entry bit lengths, and total output length are polynomially bounded.

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