Big data approach to Kazhdan-Lusztig polynomials

Data

• Title: Big data approach to Kazhdan–Lusztig polynomials
• Authors: Abel Lacabanne, Daniel Tubbenhauer and Pedro Vaz
• arXiv link: https://arxiv.org/abs/2412.01283
• Published in: Still a preprint
• DOI:

Abstract

We investigate the structure of Kazhdan–Lusztig polynomials of the symmetric group by leveraging computational approaches from big data, including exploratory and topological data analysis, applied to the polynomials for symmetric groups of up to 11 strands.

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