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Symmetry, Integrability and Geometry: Methods and Applications, 2024, Volume 20, 041, 23 pp.
DOI: https://doi.org/10.3842/SIGMA.2024.041
(Mi sigma2043)
 

Skew Symplectic and Orthogonal Schur Functions

Naihuan Jinga, Zhijun Lib, Danxia Wangb

a Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA
b School of Science, Huzhou University, Huzhou, Zhejiang 313000, P.R. China
References:
Abstract: Using the vertex operator representations for symplectic and orthogonal Schur functions, we define two families of symmetric functions and show that they are the skew symplectic and skew orthogonal Schur polynomials defined implicitly by Koike and Terada and satisfy the general branching rules. Furthermore, we derive the Jacobi–Trudi identities and Gelfand–Tsetlin patterns for these symmetric functions. Additionally, the vertex operator method yields their Cauchy-type identities. This demonstrates that vertex operator representations serve not only as a tool for studying symmetric functions but also offers unified realizations for skew Schur functions of types A, C, and D.
Keywords: skew orthogonal/symplectic Schur functions, Jacobi–Trudi identity, Gelfand–Tsetlin patterns, vertex operators.
Funding agency Grant number
Simons Foundation MP-TSM-00002518
National Natural Science Foundation of China 12171303
12101231
12301033
Natural Science Foundation of Huizhou University 2022YZ47
The research is supported by the Simons Foundation (grant no. MP-TSM-00002518), NSFC (grant nos. 12171303, 12101231, 12301033), and NSF of Huzhou (grant no. 2022YZ47).
Received: August 28, 2023; in final form May 12, 2024; Published online May 21, 2024
Document Type: Article
MSC: 05E05; 17B37
Language: English
Citation: Naihuan Jing, Zhijun Li, Danxia Wang, “Skew Symplectic and Orthogonal Schur Functions”, SIGMA, 20 (2024), 041, 23 pp.
Citation in format AMSBIB
\Bibitem{JinLiWan24}
\by Naihuan~Jing, Zhijun~Li, Danxia~Wang
\paper Skew Symplectic and Orthogonal Schur Functions
\jour SIGMA
\yr 2024
\vol 20
\papernumber 041
\totalpages 23
\mathnet{http://mi.mathnet.ru/sigma2043}
\crossref{https://doi.org/10.3842/SIGMA.2024.041}
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