Big Data Approach to Kazhdan-Lusztig Polynomials
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.
Fields of Study & Subjects
Advanced Mathematical Identities
Advanced Mathematical Theories and Applications
Analytic Number Theory Research
Publication details
- Journal / source
- Journal of Experimental Mathematics
- Publisher
- Association for Mathematical Research
- Volume
- 2
- Issue
- 1
- Pages
- 21–62
- Publication date
- 1 March 2026
- Language
- EN