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Big data approach to Kazhdan-Lusztig polynomials
December 02, 2024 · Declared Dead · 🏛 arXiv.org
"No code URL or promise found in abstract"
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Authors
Abel Lacabanne, Daniel Tubbenhauer, Pedro Vaz
arXiv ID
2412.01283
Category
math.RT
Cross-listed
cs.LG,
math.CO
Citations
3
Venue
arXiv.org
Last Checked
1 month ago
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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