Winding number statistics for chiral random matrices: Averaging ratios of determinants with parametric dependence

Nico Hahn, Mario Kieburg, Omri Gat, Thomas Guhr

Research output: Contribution to journalArticlepeer-review

Abstract

Topological invariance is a powerful concept in different branches of physics as they are particularly robust under perturbations. We generalize the ideas of computing the statistics of winding numbers for a specific parametric model of the chiral Gaussian unitary ensemble to other chiral random matrix ensembles. In particular, we address the two chiral symmetry classes, unitary (AIII) and symplectic (CII), and we analytically compute ensemble averages for ratios of determinants with parametric dependence. To this end, we employ a technique that exhibits reminiscent supersymmetric structures, while we never carry out any map to superspace.

Original languageEnglish
Article number021901
JournalJournal of Mathematical Physics
Volume64
Issue number2
DOIs
StatePublished - 1 Feb 2023

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Mathematical Physics

Fingerprint

Dive into the research topics of 'Winding number statistics for chiral random matrices: Averaging ratios of determinants with parametric dependence'. Together they form a unique fingerprint.

Cite this