English

Statistical diagonalization of a random biased Hamiltonian: the case of the eigenvectors

Quantum Physics 2018-11-14 v1 Mesoscale and Nanoscale Physics Statistical Mechanics

Abstract

We present a non perturbative calculation technique providing the mixed moments of the overlaps between the eigenvectors of two large quantum Hamiltonians: H^0\hat{H}_0 and H^0+W^\hat{H}_0+\hat{W}, where H^0\hat{H}_0 is deterministic and W^\hat{W} is random. We apply this method to recover the second order moments or Local Density Of States in the case of an arbitrary fixed H^0\hat{H}_0 and a Gaussian W^\hat{W}. Then we calculate the fourth order moments of the overlaps in the same setting. Such quantities are crucial for understanding the local dynamics of a large composite quantum system. In this case, H^0\hat{H}_0 is the sum of the Hamiltonians of the system subparts and W^\hat{W} is an interaction term. We test our predictions with numerical simulations.

Keywords

Cite

@article{arxiv.1803.08122,
  title  = {Statistical diagonalization of a random biased Hamiltonian: the case of the eigenvectors},
  author = {Grégoire Ithier and Saeed Ascroft},
  journal= {arXiv preprint arXiv:1803.08122},
  year   = {2018}
}

Comments

15 pages, 7 figures