paper

Completing the picture for the smallest eigenvalue of real Wishart matrices

arXiv:1409.0360 · doi:10.1103/PhysRevLett.113.250201

Abstract

Rectangular real matrices with a Gaussian distribution appear very frequently in data analysis, condensed matter physics and quantum field theory. A central question concerns the correlations encoded in the spectral statistics of . The extreme eigenvalues of are of particular interest. We explicitly compute the distribution and the gap probability of the smallest non-zero eigenvalue in this ensemble, both for arbitrary fixed and , and in the universal large limit with fixed. We uncover an integrable Pfaffian structure valid for all even values of . This extends previous results for odd at infinite and recursive results for finite and for all . Our mathematical results include the computation of expectation values of half integer powers of characteristic polynomials.

5 pages, 3 figuers; minor corrections; three typos corrected in comparison to the published version in PRL

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Completing the picture for the smallest eigenvalue of real Wishart matrices · wovepaper