Researchers use big data to analyze Kazhdan-Lusztig polynomials

A new research paper explores the structure of Kazhdan-Lusztig polynomials for the symmetric group. The study employs big data computational approaches, including exploratory and topological data analysis, to examine these polynomials for symmetric groups up to 11 strands. The paper, authored by Abel Lacabanne, was submitted to arXiv on December 2, 2024. AI

IMPACT This research applies big data techniques to mathematical structures, potentially influencing how complex systems are analyzed.

RANK_REASON The cluster contains a research paper on arXiv detailing a novel computational approach to a mathematical concept. [lever_c_demoted from research: ic=1 ai=0.4]

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• Abel Lacabanne
• arXiv
• Hugging Face
• symmetric group

• paper
• other

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