Supersymmetry and Sigma Model for Random Matrices

  • Haake F
  • Gnutzmann S
  • Kuś M
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Abstract

As we have seen in Chap. 5, representing determinants as Gaussian integrals over anticommuting alias Grassmann variables makes for great simplifications in computing averages over the underlying matrices.

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Haake, F., Gnutzmann, S., & Kuś, M. (2018). Supersymmetry and Sigma Model for Random Matrices (pp. 205–288). https://doi.org/10.1007/978-3-319-97580-1_6

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