Sorting-order characterization conjecture for Stanley coefficients
Sorting-order characterization conjecture for Stanley coefficients
For a partition , let be the set of -Escher tuples, let be the core representation, and let be the subset whose core vector has sorting permutation . Let denote the Stanley coefficient. Sorting-order characterization conjecture. For every partition there is a set of sorting orders
independent of , such that
Thus characterizes the Stanley coefficient . The claim is the formal version of the paper’s experimentally motivated assertion that Stanley coefficients are determined by sorting orders rather than by the numerical values of core coordinates; the source reports computational evidence but no resolution.
Sources & referencesView supporting material
Primary source
Gergely Bérczi and Jonas Klüver, “Reinforcement Learning the Chromatic Symmetric Function”, arXiv:2410.19189 (2024).
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