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Santilli, Leonardo & Tierz, M. (2020). Complex (super)-matrix models with external sources and q-ensembles of Chern–Simons and ABJ(M) type. Journal of Physics A: Mathematical and Theoretical. 53 (42), 425201-425201
S. Leonardo and M. T. Parra, "Complex (super)-matrix models with external sources and q-ensembles of Chern–Simons and ABJ(M) type", in Journal of Physics A: Mathematical and Theoretical, vol. 53, no. 42, pp. 425201-425201, 2020
@article{leonardo2020_1714226112727, author = "Santilli, Leonardo and Tierz, M.", title = "Complex (super)-matrix models with external sources and q-ensembles of Chern–Simons and ABJ(M) type", journal = "Journal of Physics A: Mathematical and Theoretical", year = "2020", volume = "53", number = "42", doi = "10.1088/1751-8121/abb6b0", pages = "425201-425201", url = "https://doi.org/10.1088/1751-8121/abb6b0" }
TY - JOUR TI - Complex (super)-matrix models with external sources and q-ensembles of Chern–Simons and ABJ(M) type T2 - Journal of Physics A: Mathematical and Theoretical VL - 53 IS - 42 AU - Santilli, Leonardo AU - Tierz, M. PY - 2020 SP - 425201-425201 SN - 1751-8113 DO - 10.1088/1751-8121/abb6b0 UR - https://doi.org/10.1088/1751-8121/abb6b0 AB - The Langmann–Szabo–Zarembo (LSZ) matrix model is a complex matrix model with a quartic interaction and two external matrices. The model appears in the study of a scalar field theory on the non-commutative plane. We prove that the LSZ matrix model computes the probability of atypically large fluctuations in the Stieltjes–Wigert matrix model, which is a q-ensemble describing U(N) Chern–Simons theory on the three-sphere. The correspondence holds in a generalized sense: depending on the spectra of the two external matrices, the LSZ matrix model either describes probabilities of large fluctuations in the Chern–Simons partition function, in the unknot invariant or in the two-unknot invariant. We extend the result to supermatrix models, and show that a generalized LSZ supermatrix model describes the probability of atypically large fluctuations in the ABJ(M) matrix model. ER -