Van Vu and I have just uploaded to the arXiv our short survey article, “Random matrices: The Four Moment Theorem for Wigner ensembles“, submitted to the MSRI book series, as part of the proceedings on the MSRI semester program on random matrix theory from last year. This is a highly condensed version (at 17 pages) of a much longer survey (currently at about 48 pages, though not completely finished) that we are currently working on, devoted to the recent advances in understanding the universality phenomenon for spectral statistics of Wigner matrices. In this abridged version of the survey, we focus on a key tool in the subject, namely the Four Moment Theorem which roughly speaking asserts that the statistics of a Wigner matrix depend only on the first four moments of the entries. We give a sketch of proof of this theorem, and two sample applications: a central limit theorem for individual eigenvalues of a Wigner matrix (extending a result of Gustavsson in the case of GUE), and the verification of a conjecture of Wigner, Dyson, and Mehta on the universality of the asymptotic k-point correlation functions even for discrete ensembles (provided that we interpret convergence in the vague topology sense).
For reasons of space, this paper is very far from an exhaustive survey even of the narrow topic of universality for Wigner matrices, but should hopefully be an accessible entry point into the subject nevertheless.
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13 December, 2011 at 7:51 am
Anonymous
Corollary 4 (eigenvalue delocalization) -> eigenvector. [Thanks, this will be corrected in the next revision of the ms – T.]
13 December, 2011 at 9:13 am
Jafar
Dear Tery,
i am wondering that distribution of the eigenvalues of the summation of two random Hermitian matrices when we fixed the spectrum of those two marices. This distribution is a density function on the convex finite polytop which is described by a finite set of linear homogenous inequality (the work of Klyachko). In other word, I like to compute the volume of the space of Honey combs when you fixed the boundary values of honeycombs. do you have any idea about this?it is some how related to the Duistermatt-Heckman measure but to compute it explicitly is very hard. I mean an explicit formula for the distribution as in the case of GUE ensumble of random Hermitian matrices.
13 December, 2011 at 10:09 am
Terence Tao
There is indeed an explicit formula for the measure – an alternating sum of Duistermaat-Heckman measures for the torus action of a single coadjoint orbit, though I can’t recall a reference for this fact offhand. (The representation-theoretic analogue of this formula is due to Sternberg, though, I think.) But this is not a particularly tractable formula to work with due to all the oscillation in the sum.
It is known that in the limit when the size of the matrices goes to infinity, this density concentrates around the free convolution of the spectrum of the original two matrices, but this is proven by a completely different method. It would certainly be of interest to use the symplectic geometry machinery (DH measures, honeycombs, etc.) to obtain an independent proof of this fact, which may also give some better asymptotics on this measure, but as far as I know this remains quite an open problem. (Many years ago I talked to some tiling experts about this, because the puzzles that come up in the Hermitian matrix problem bear some resemblance to domino tilings and Aztec diamonds, for which the limiting distribution is fairly well understood; but apparently the problem is that the degrees of freedom of a puzzle are much less local than that of tilings and diamonds, so the techniques there do not directly apply. It would be good for someone to look into these problems again, although a somewhat daunting amount of interdisciplinary research would be needed to make progress.)
9 January, 2012 at 1:34 am
Anonymous
A good reference for this is the book by Guillemin, Lerman and Sternberg.
15 December, 2011 at 12:10 pm
Anonymous
A parenthesis is missing at the end of (15).
[Thanks, this will be corrected in the next revision of the ms – T.]
15 December, 2011 at 12:12 pm
Anonymous
…and in the next equation too, I see.
2 February, 2012 at 11:43 am
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