mlsanityData to 14 Oct 2026

A penalised Saito functional for heuristic search of free line arrangements

arXiv 2604.02995 ↗First posted 3 Apr 2026math.AG cs.LG math.COcited by 0

Not on the map. Why?

Abstract (arXiv)

We introduce the penalised Saito functional mathfrak Sλ,β(A;d1,d2) for a reduced arrangement A of n lines and a prescribed pair d1+d2=n-1. It measures the alignment of a candidate Saito determinant with the defining polynomial while penalising the failure of the candidate derivations to be logarithmic. We prove that the functional takes values in [0,1], vanishes exactly when A is free with exponents (1,d1,d2), and lies strictly between 0 and 1 otherwise. For fixed (d1,d2), it is upper semicontinuous on the reduced configuration space, continuous at arrangements free with the prescribed pair, and converges as λ→∞ to the corresponding binary freeness test. We use a numerical approximation of this functional, together with a small b2-shell term, to guide fixed-cardinality line-replacement searches over mathbbQ and selected quadratic extensions. Numerical values are used only to select candidates; every reported arrangement is certified in exact arithmetic using Saito's criterion. At the current snapshot, the certified database contains 6,146 representatives with distinct Weisfeiler--Leman fingerprints and cardinalities up to n=28. Among them, 3,012 have multiplicity gap ε(A)=d1-m(A)≥2, including lower-bound-extremal examples with ε=7. These non-supersolvable arrangements provide test cases for studying realisation spaces and the persistence of freeness among realisations of the same intersection lattice, in connection with Terao's conjecture.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 38 references that are in the map. First posted on arXiv 3 Apr 2026.

Builds on

5 of 38 references.

References · 5

  1. 2015Illuminating search spaces by mapping elitescited by 425
  2. 2017Quality and Diversity Optimization: A Unifying Modular Frameworkcited by 113
  3. 2021Machine-Learning Mathematical Structurescited by 25
  4. 2023Searching for ribbons with machine learningcited by 12
  5. 2026Neural and numerical methods for G2-structures on contact Calabi-Yau 7-manifoldscited by 4

Built on by

Not cited yet.