Lie superalgebras, infinite-dimensional algebras and quantum statistics
From MaRDI portal
Publication:1308486
DOI10.1016/0034-4877(92)90017-UzbMath0793.17008OpenAlexW2085965568MaRDI QIDQ1308486
Publication date: 9 January 1994
Published in: Reports on Mathematical Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0034-4877(92)90017-u
representationsinduced representationsquantum statisticscreation and annihilation operatorsorthosymplectic Lie superalgebrasparastatistics
Quantum field theory; related classical field theories (81T99) Superalgebras (17A70) Graded Lie (super)algebras (17B70)
Related Items (6)
A fixed point result and the stability problem in Lie superalgebras ⋮ The Z2×Z2 -graded Lie superalgebras pso(2n+1|2n) and pso(∞|∞) , and parastatistics Fock spaces ⋮ Representations of the Lie superalgebra $ \newcommand{\B}{\mathfrak{B}} {\B(\infty,\infty)}$ and parastatistics Fock spaces ⋮ PARAFERMIONS, PARABOSONS AND REPRESENTATIONS OF 𝔰𝔬(∞) AND 𝔬𝔰𝔭(1|∞) ⋮ The paraboson Fock space and unitary irreducible representations of the Lie superalgebra \({\mathfrak{osp}(1|2n)}\) ⋮ Highest weight irreducible representations of the quantum algebra Uh(A∞)
Cites Work
- Unnamed Item
- Unnamed Item
- Parastatistics, highest weight \(\mathrm{osp}(N,\infty)\) modules, singleton statistics and confinement
- Causal A-statistics. II: Lowest order representation
- A q-difference analogue of \(U({\mathfrak g})\) and the Yang-Baxter equation
- Finite-dimensional irreducible representations of the quantum superalgebra \(U_ q[gl(n/1)\)]
- The theory of Lie superalgebras. An introduction
- Quantization of \(U_ q[\text{so}(2n+1)\) with deformed para-Fermi operators]
- Fermi-Bose Similarity
- A Lie superalgebraic interpretation of the para-Bose statistics
- Do the Equations of Motion Determine the Quantum Mechanical Commutation Relations?
- A Generalized Method of Field Quantization
- Lie superalgebras
This page was built for publication: Lie superalgebras, infinite-dimensional algebras and quantum statistics