• Open Access

Born-Oppenheimer quantization of the matrix model for N=1 super-Yang-Mills theory

Verónica Errasti Díez, Mahul Pandey, and Sachindeo Vaidya
Phys. Rev. D 102, 074024 – Published 27 October 2020

Abstract

We construct a quantum mechanical matrix model that is a dimensional reduction of N=1 super-Yang-Mills on S3×R. We do so by pulling back the set of left-invariant connections of the gauge bundle onto the real superspace, with the spatial R3 compactified to S3. We quantize the N=1 SU(2) matrix model in the weak-coupling limit g1, with g the dimensionless gauge coupling constant, using the Born-Oppenheimer approximation and find that different superselection sectors emerge for the effective gluon dynamics in this regime, reminiscent of different phases of the full quantum theory. We demonstrate that the Born-Oppenheimer quantization is indeed compatible with supersymmetry, albeit in a subtle manner. In fact, we can define effective supercharges that relate the different sectors of the matrix model’s Hilbert space. These effective supercharges have a different definition in each phase of the theory.

  • Figure
  • Received 6 February 2020
  • Accepted 30 September 2020

DOI:https://doi.org/10.1103/PhysRevD.102.074024

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Particles & Fields

Authors & Affiliations

Verónica Errasti Díez1,*, Mahul Pandey2,†, and Sachindeo Vaidya3,‡

  • 1Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), Föhringer Ring 6, 80805 Munich, Germany
  • 2School of Theoretical Physics, Dublin Institute for Advanced Studies, 10 Burlington Road, Dublin 4, Ireland
  • 3Center for High Energy Physics, Indian Institute of Science, Bangalore 560012, India

  • *veroerdi@mppmu.mpg.de
  • mpandey@stp.dias.ie
  • vaidya@cts.iisc.ernet.in

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Issue

Vol. 102, Iss. 7 — 1 October 2020

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