Super-Hamiltonians for super-Macdonald polynomials

The Macdonald finite-difference Hamiltonian is lifted to a super-generalization. In addition to canonical bosonic time variables p k new Grassmann time variables θ k are introduced, and the Hamiltonian is represented as a differential operator acting on a space of functions of both types of variables p k and θ k . Eigenfunctions for this Hamiltonian are a suitable generalization of Macdonald polynomials to super-Macdonald polynomials discussed earlier in the literature. Peculiarities of the construction in comparison to the canonical bosonic case are discussed.

Authors

Institutions

Publication Details

Journal
Physics Letters B
Published
2025-04-22
DOI
https://doi.org/10.1016/j.physletb.2025.139481
Citations
1
Primary Topic
Algebraic structures and combinatorial models
Type
article
Field-Weighted Citation Impact
4.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Super-Hamiltonians for super-Macdonald polynomials

Nikita Tselousov, Dmitry Galakhov, Alexei Morozov
1 citations
Physics Letters B
Algebraic structures and combinatorial models
4.09
article

Super-Hamiltonians for super-Macdonald polynomials

Nikita Tselousov, Dmitry Galakhov, Alexei Morozov
article en
1 citations

Abstract

The Macdonald finite-difference Hamiltonian is lifted to a super-generalization. In addition to canonical bosonic time variables p k new Grassmann time variables θ k are introduced, and the Hamiltonian is represented as a differential operator acting on a space of functions of both types of variables p k and θ k . Eigenfunctions for this Hamiltonian are a suitable generalization of Macdonald polynomials to super-Macdonald polynomials discussed earlier in the literature. Peculiarities of the construction in comparison to the canonical bosonic case are discussed.

Physics Letters BVol. 865
Moscow Institute of Physics and Technology (RU), Kurchatov Institute (RU)
Openalex Percentile: Top 10%
Algebraic structures and combinatorial models
4.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.