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Supersymmetry and Sigma Model for Random Matrices

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Quantum Signatures of Chaos

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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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Notes

  1. 1.

    A nilpotent quantity has vanishing powers with integer exponents upward of some smallest positive one.

  2. 2.

    Readers not previously familiar with the wedge product of differentials of commuting variables have every right to be momentarily confused. They have the choice of either spending a quiet hour with, e.g., Ref. [7], or simply ignoring the following remark and convincing themselves of the correctness of (6.4.2) in some other way, most simply by expanding the integrand in powers of c.

  3. 3.

    Truly daring readers might even enjoy contemplating the kinship of (6.4.5) as well as its superanalytic generalizations below (see (6.4.9), (6.4.16)) with the Hubbard–Stratonovich transformation .

  4. 4.

    Useful generalizations, in particular to higher dimensions, and a watertight proof can be found in Ref. [13].

  5. 5.

    Later we will usually encounter the case of two parameters, K = 2.

  6. 6.

    In our example case μ kλ k = (m k + 2∕N)∕(1 − m k) which gives the same condition for massive modes as we have stated in terms of m k.

  7. 7.

    In specifying the saddle (6.6.26), we have immediately restricted ourselves to the energy interval |E∕2| < λ to which the spectrum is confined by the semicircle law.

  8. 8.

    Different such choices are possible and lead to different but of course equivalent appearances of \(\hat {e}_\pm \).

  9. 9.

    This ordering of matrices in AR⊗BF is often called ‘AR notation’. Unless noted explicitly otherwise we shall stick to that ordering.

  10. 10.

    The equivalence of M F with the two-sphere and of M B with the two-hyperboloid will be shown in Sect. 6.8.5.

  11. 11.

    This subsection is lifted from Ref. [17], word by word.

  12. 12.

    Recall from Sect. 5.13 that ordinary (over commuting variables, that is) real Gaussian integrals lead to inverse square roots of determinants while such integrals over anti-commuting variables give Pfaffians (which also square to determinants). It is straightforward to generalize these two cases to ‘real’ Gaussian super-integrals where one accordingly arrives at square roots of superdeterminants. See also Sect. 5.14.4 for an application of Pfaffians .

  13. 13.

    The block Z D is called diffusion mode and Z C the Cooperon mode, names invented in the disordered systems community [3]. In the CXE sigma model these two modes are coupled as they expressed as blocks in a larger supermatrix. If one breaks time-reversal symmetry continuously the diffusion mode remains massless but the Cooperon mode acquires a mass. If that mass is sufficiently large (greater than 1∕N) one may neglect the Cooperon mode and what is left is the standard CUE result (i.e. time-reversal is fully broken).

  14. 14.

    For recent progress on the universality problem within RMT see Refs. [19,20,21,22,23].

  15. 15.

    Our unscrupulous change of the order of integrations as well as the naive use of the saddle-point approximation for the N-fold energy integral later admittedly give a certain heuristic character to this section.

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Haake, F., Gnutzmann, S., Kuś, M. (2018). Supersymmetry and Sigma Model for Random Matrices. In: Quantum Signatures of Chaos. Springer Series in Synergetics. Springer, Cham. https://doi.org/10.1007/978-3-319-97580-1_6

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