Arithmetic-Formula Lower Bounds for Permanent and Determinant
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Definitions and mathematical statement
Shared notation.
$\mathbb N$, $\mathbb Z$, $\mathbb Q$, $\mathbb R$, and $\mathbb C$ denote the natural numbers, integers, rationals, reals, and complex numbers, respectively. All additional parameters and hypotheses are specified in the question.Statement recorded in the supplied source.
Prove superpolynomial lower bounds for the arithmetic-formula size of an explicit polynomial, in particular the permanent or determinant.Formulation references: [S1], [S2].
Short English statement
Prove superpolynomial lower bounds for the arithmetic-formula size of an explicit polynomial, in particular the permanent or determinant.Sources
- S1 ULAM.AI and the UnsolvedMath Contributors, UnsolvedMath: A Curated Collection of Open Mathematics Problems, record 30000241 (OWR-831-014). Catalogue attribution under CC BY 4.0. https://huggingface.co/datasets/ulamai/UnsolvedMath.
- S2 Original problem formulation and mathematical context. https://doi.org/10.4171/owr/2005/26.
Statement licence: CC-BY-SA-4.0 · Source file
Contributions 1
OpenAI claim summary for CS-111
A cubic determinant-size lower bound gives polynomial-scale progress. The problem requires ruling out every polynomial size, and a fixed cubic exponent cannot establish that; broader permanent or determinant formula lower bounds also do not follow.
Arithmetic-Formula Lower Bounds for Permanent and Determinant
OpenAI's claim
OpenAI presents the following claims relevant to this question, with manuscript numbers following paper order in Sources. In manuscript 1 (family 108; 2026-09-24), the asserted result is that complex exact and border determinant representations of the permanent require size of cubic order, with the stated branching-program consequences.Mathematical statement of the claimed result
Manuscript 1.
Over $\mathbb C$, let $\operatorname{per}_m$ be the permanent of a generic $m\times m$ matrix. Its border determinantal complexity is the least $N$ for which it lies in the coefficientwise closure of determinants of $N\times N$ matrices with affine-linear entries. Exact determinantal complexity omits the closure. The asserted estimates are \[ \overline{\operatorname{dc}}(\operatorname{per}_m)\ge\frac{m^3}{5\,529\,600e},\qquad \operatorname{dc}(\operatorname{per}_m)\ge\frac{m^3}{5\,529\,600e}\quad(m\ge1408). \] The bound is cubic, rather than superpolynomial.Outline of the argument
For manuscript 1 (family 108; 2026-09-24), smooth initial forms are tested by ambient polars. A characteristic-two adjugate subscheme determines a matrix on a fixed curve; normalization defects and finite-subscheme counts give matrix codimension bounds that persist under coefficientwise determinant limits.Formal verification
For manuscript 1 (family 108; 2026-09-24), the documented Lean scope is cubic bounds for the permanent in both exact and border determinantal representations, together with the explicit large-size estimate and a smooth-initial-form criterion; the algebraic branching-program applications are outside the selected declarations.This coverage does not establish a formal proof of the complete problem as stated here.
The linked family Comparator checks are PermanentCubic.lean, SmoothInitialForm.lean.
Their named declarations include OAI.PermanentBorder.permanent_cubic_lower_bounds, OAI.PermanentBorder.smooth_initial_form_lower_bound.
This site has not executed the Lean code. Described statement coverage is not an independent proof check.
Status caveat
The manuscripts were produced by an internal OpenAI model. OpenAI cautions that results without formalization can contain mistakes. This site has not independently checked the proofs; the label records the scope of OpenAI's claim.Sources
- OpenAI, A cubic lower bound for border determinantal complexity of the permanent, 2026-09-24; citation key
OAI:A-cubic-lower-bound-for-border-determinantal-complexity-of-the-permanent-September-24-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - Family 108: Lean scope.
- Comparator PermanentCubic.json.
- Comparator PermanentCubic.lean.
- Comparator SmoothInitialForm.json.
- Comparator SmoothInitialForm.lean.
- OpenAI catalogue entry.