Skew Symplectic and Orthogonal Schur Functions

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. Furt...

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Бібліографічні деталі
Опубліковано в: :Symmetry, Integrability and Geometry: Methods and Applications
Дата:2024
Автори: Jing, Naihuan, Li, Zhijun, Wang, Danxia
Формат: Стаття
Мова:Англійська
Опубліковано: Інститут математики НАН України 2024
Онлайн доступ:https://nasplib.isofts.kiev.ua/handle/123456789/212266
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Skew Symplectic and Orthogonal Schur Functions. Naihuan Jing, Zhijun Li and Danxia Wang. SIGMA 20 (2024), 041, 23 pages

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
Опис
Резюме: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 offer unified realizations for skew Schur functions of types A, C, and D.
ISSN:1815-0659