Kerov functions for composite representations and Macdonald ideal
Creators
- 1. Institute for Information Transmission Problems, Moscow 127994 (Russian Federation)
- 2. ITEP, Moscow 117218 (Russian Federation)
- 3. Lebedev Physics Institute, Moscow 119991 (Russian Federation)
- 4. MIPT, Dolgoprudny 141701 (Russian Federation)
Description
Kerov functions provide an infinite-parametric deformation of the set of Schur functions, which is a far-going generalization of the 2-parametric Macdonald deformation. In this paper, we concentrate on a particular subject: on Kerov functions labeled by the Young diagrams associated with the conjugate and, more generally, composite representations. Our description highlights peculiarities of the Macdonald locus (ideal) in the space of the Kerov parameters, where some formulas and relations get drastically simplified. However, even in this case, they substantially deviate from the Schur case, which illustrates the problems encountered in the theory of link hyperpolynomials. An important additional feature of the Macdonald case is uniformization, a possibility of capturing the dependence on N for symmetric polynomials of N variables into a single variable , while in the generic Kerov case the N-dependence looks considerably more involved.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.nuclphysb.2019.114641Additional details
Identifiers
- DOI
- 10.1016/j.nuclphysb.2019.114641;
- arXiv
- arXiv:1903.00773v1;
- PII
- S0550321319301270;
Publishing Information
- Journal Title
- Nuclear Physics. B
- Journal Volume
- 944
- Journal Page Range
- p. 114641
- ISSN
- 0550-3213
- CODEN
- NUPBBO
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51048614
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Descriptors DEI
- POLYNOMIALS; SYMMETRY; YOUNG DIAGRAM
- Descriptors DEC
- DIAGRAMS; FUNCTIONS; INFORMATION
Optional Information
- Notes
- © 2019 The Author(s). Published by Elsevier B.V.