AI & ML
Logarithmic asymptotics for polynomial threshold functions
arXiv math.IT0 views
arXiv:2610.34378v1 Announce Type: cross 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 $O(n^2)$ 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.
Source:https://arxiv.org/abs/2610.34378PreviousExtremal diagonal-coherent binary codes: shortened Hamming cores, deep holes, and the 64 I-Ching hexagramsNextLinear Hashing Is Poissonesque
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