English

Eigenvalue statistics for product complex Wishart matrices

Mathematical Physics 2015-06-18 v2 math.MP

Abstract

The eigenvalue statistics for complex N×NN \times N Wishart matrices Xr,sXr,sX_{r,s}^\dagger X_{r,s}, where Xr,s X_{r,s} is equal to the product of rr complex Gaussian matrices, and the inverse of ss complex Gaussian matrices, are considered. In the case r=sr=s the exact form of the global density is computed. The averaged characteristic polynomial for the corresponding generalized eigenvalue problem is calculated in terms of a particular generalized hypergeometric function s+1Fr{}_{s+1} F_r. For finite NN the eigenvalue probability density function is computed, and is shown to be an example of a biorthogonal ensemble. A double contour integral form of the corresponding correlation kernel is derived, which allows the hard edge scaled limit to be computed. The limiting kernel is given in terms of certain Meijer G-functions, and is identical to that found in the recent work of Kuijlaars and Zhang in the case s=0s=0. Properties of the kernel and corresponding correlation functions are discussed.

Keywords

Cite

@article{arxiv.1401.2572,
  title  = {Eigenvalue statistics for product complex Wishart matrices},
  author = {Peter J. Forrester},
  journal= {arXiv preprint arXiv:1401.2572},
  year   = {2015}
}

Comments

25 pages; V2 published version

R2 v1 2026-06-22T02:43:25.721Z