Average sensitivity of polynomial threshold functions
Status OpenLLM status Open unverified
Top Open Problems unknownunknown Not reported cataloguedOpenOpenStatement
Definitions and mathematical statement
Statement recorded in the supplied source.
Must every Boolean threshold of a real multilinear degree-at-most-d polynomial on the uniform n-cube, with $sign(0)=1$ and $1\leq d\leq n$, have total influence at most $8d\surd n$?Short English statement
Must every Boolean threshold of a real multilinear degree-at-most-d polynomial on the uniform n-cube, with $sign(0)=1$ and $1\leq d\leq n$, have total influence at most $8d\surd n$?Sources
- S1 OpenAI, manuscript citation page. Source of the formulation motivating this local problem. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Average-Sensitivity-of-Polynomial-Threshold-Functions-September-25-2026/README.md.
Statement licence: CC-BY-4.0 · Source file
Contributions 1
OpenAI claim summary for CS-154
The result supplies the conclusion in this problem with its displayed hypotheses and quantifiers. The broader statements and applications in the manuscript are kept separate from the particular question above. The supporting result is manuscript 1 (family 127; 2026-09-25).
Average sensitivity of polynomial threshold functions
OpenAI's claim
OpenAI presents the following claims relevant to this question, with manuscript numbers following paper order in Sources. In manuscript 1 (family 127; 2026-09-25), the asserted result is that degree-$d$ Boolean polynomial threshold functions have total influence at most $8d\sqrt n$, uniformly for $1\le d\le n$, assigning positive sign at zero.Mathematical statement of the claimed result
Manuscript 1.
For integers $n\ge1$ and $1\le d\le n$, take a multilinear polynomial $p$ with real coefficients and $\deg p\le d$. Set $f(x)=\operatorname{sgn}(p(x))$ on $\{-1,1\}^n$, taking $\operatorname{sgn}(0)=1$. With uniform input and $x^{\oplus i}$ obtained by reversing coordinate $i$, the asserted average-sensitivity estimate is \[ I(f)=\sum_{i=1}^n\Pr[f(x)\ne f(x^{\oplus i})]\le8d\sqrt n. \]Outline of the argument
For manuscript 1 (family 127; 2026-09-25), a one-sided coupling estimates changed cube edges using weighted Fourier grading. An anticommutator recovers the edge contribution, and parity together with a binomial coupling controls the final degree and dimension dependence.Formal verification
For manuscript 1 (family 127; 2026-09-25), OpenAI lists Lean statements for this assertion: degree-$d$ Boolean polynomial threshold functions have total influence at most $8d\sqrt n$, uniformly for $1\le d\le n$, assigning positive sign at zero.The selected statement includes the clause used for this problem.
The linked family Comparator checks are GotsmanLinial.lean.
Their named declarations include OAI.LeanBlast.GotsmanLinial.gotsmanLinialStatement.
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, Average sensitivity of polynomial threshold functions, 2026-09-25; citation key
OAI:Average-Sensitivity-of-Polynomial-Threshold-Functions-September-25-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - Family 127: Lean scope.
- Comparator GotsmanLinial.json.
- Comparator GotsmanLinial.lean.
- OpenAI catalogue entry.