The singular values of the GUE (less is more)

Some properties that nominally involve the eigenvalues of Gaussian Unitary Ensemble (GUE) can instead be phrased in terms of singular values. By discarding the signs of the eigenvalues, we gain access to a surprising decomposition: the singular values of the GUE are distributed as the union of the s...

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Bibliographic Details
Main Authors: Edelman, Alan (Contributor), La Croix, Michael Andrew (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: World Scientific, 2018-05-29T13:46:39Z.
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Online Access:Get fulltext
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100 1 0 |a Edelman, Alan  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mathematics  |e contributor 
100 1 0 |a Edelman, Alan  |e contributor 
100 1 0 |a La Croix, Michael Andrew  |e contributor 
700 1 0 |a La Croix, Michael Andrew  |e author 
245 0 0 |a The singular values of the GUE (less is more) 
260 |b World Scientific,   |c 2018-05-29T13:46:39Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/115925 
520 |a Some properties that nominally involve the eigenvalues of Gaussian Unitary Ensemble (GUE) can instead be phrased in terms of singular values. By discarding the signs of the eigenvalues, we gain access to a surprising decomposition: the singular values of the GUE are distributed as the union of the singular values of two independent ensembles of Laguerre type. This independence is remarkable given the well known phenomenon of eigenvalue repulsion. The structure of this decomposition reveals that several existing observations about large n limits of the GUE are in fact manifestations of phenomena that are already present for finite random matrices. We relate the semicircle law to the quarter-circle law by connecting Hermite polynomials to generalized Laguerre polynomials with parameter ± 1/2. Similarly, we write the absolute value of the determinant of the n x n GUE as a product n independent random variables to gain new insight into its asymptotic log-normality. The decomposition also provides a description of the distribution of the smallest singular value of the GUE, which in turn permits the study of the leading order behavior of the condition number of GUE matrices. The study is motivated by questions involving the enumeration of orientable maps, and is related to questions involving powers of complex Ginibre matrices. The inescapable conclusion of this work is that the singular values of the GUE play an unpredictably important role that had gone unnoticed for decades even though, in hindsight, so many clues had been around. 
520 |a National Science Foundation (U.S.) (Grant DMS-1035400) 
520 |a National Science Foundation (U.S.) (Grant DMS-1016125) 
655 7 |a Article 
773 |t Random Matrices: Theory and Applications