Skip to content
DraconiticResearch
Search Sources API
190,332 studies31 sourcesUpdated just now
PreprintarXiv licencearXiv

Logarithmic asymptotics for polynomial threshold functions

Abstract

We count Boolean functions represented as the sign of a real polynomial of bounded degree on the n-dimensional cube. We prove that the logarithm of their number is asymptotic to that of the classical hyperplane-arrangement upper bound, uniformly over all degrees, with relative error O((log n)2/n). We also obtain sharper additive and relative error estimates in particular degree ranges, including an additive error O(n2) between the logarithms throughout a small linear degree range and improved bounds just below the central degree. The proof combines probabilistic estimates for Reed--Muller codes with a deletion argument for sets of evaluation vectors, an entropy count, and a sharp-threshold estimate for expected rank deficiency.

Related

  1. Analysis of Polynomial Threshold Functions on Random Regular Graphs: Computational Complexity of Detecting Noisy Random Lifts
    Xifan Yu
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  2. Distance and resistance on random series-parallel graphs: logarithmic speeds and near-critical asymptotics
    Ruiqi Ding, Zehua He, Yutao Liang +1
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  3. Asymptotics for partition functions of random normal matrix models with singularities
    Kohei Noda
    arXivPreprintCC BY 4.0Full textMathematical physicsProbabilityarXiv
  4. Bernstein and Stieltjes properties of some functions involving logarithmic functions
    Feng Qi
    arXivPreprintCC BY-SA 4.0Full textGeneral mathematicsarXiv
  5. Operator Michelson Contrast: Logarithmic Parametrisation, Subadditivity, and a Sharp Noncommutativity Threshold
    Irina Nikolaeva, Andrej Novikov
    arXivPreprintCC BY 4.0Full textAlgebra & number theoryAnalysis & PDEsarXiv
BibTeX
@misc{anthony2026logarithmic,
  title = {{Logarithmic asymptotics for polynomial threshold functions}},
  author = {Martin Anthony},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.34378},
  eprint = {2610.34378},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.34378},
}
RIS
TY  - UNPB
TI  - Logarithmic asymptotics for polynomial threshold functions
AU  - Martin Anthony
PY  - 2026
DA  - 2026/10/27
PB  - arXiv
DO  - 10.48550/arxiv.2610.34378
UR  - https://arxiv.org/abs/2610.34378
AB  - We count Boolean functions represented as the sign of a real polynomial of bounded degree on the n-dimensional cube. We prove that the logarithm of their number is asymptotic to that of the classical hyperplane-arrangement upper bound, uniformly over all degrees, with relative error O((log n)^2/n). We also obtain sharper additive and relative error estimates in particular degree ranges, including an additive error O(n^2) between the logarithms throughout a small linear degree range and improved bounds just below the central degree. The proof combines probabilistic estimates for Reed--Muller codes with a deletion argument for sets of evaluation vectors, an entropy count, and a sharp-threshold estimate for expected rank deficiency.
ER  -