Advances in Number Theory and Random Matrix Theory, June 5-8, 2006, University of Rochester

There exist important conjectures which relate the statistical behaviour of the nontrivial zeros of the Riemann zeta function to the statistical behaviour of the eigenvalues of large random matrices.

Although an individual matrix with fixed entries cannot meaningfully be said to be 'random', it is possible to precisely define 'random matrix ensembles' in terms of probability distributions.

Most relevant here is the Gaussian unitary ensemble, or GUE. Two equivalent ways of defining this for a given matrix dimension N are given here:

(1) M.L. Mehta (in his seminal book Random Matrices) starts with the space of all N x N Hermitian matrices, and introduces a probability density P on the space. Two conditions are given which P must satisfy, including invariance under unitary conjugation transformations H -> U^-1HU on the space (here U is a fixed N x N unitary matrix).

It turns out that the conditions given force P(H) to take the form

Note the 'Gaussian' character of this distribution.

Accepting this definition, we see that there really is no such condition as being 'a GUE matrix'. The GUE consists of all Hermitian N x N matrices, but they are 'weighted' according to the probability density P.

I sometimes find it helpful to think of the GUE as 'a random matrix generator' which produces N x N Hermitian matrices with a probabilistic bias based on the function P. Any Hermitian matrix of dimension N can be produced, but some will occur more frequently than others. We are going to be looking at statistical tendencies in the behaviour of the eigenvalues of the 'output' of the generator. We will be particularly interested in what happens to these tendencies when we let N tend to infinity.

(2) An equivalent definition is provided by Andrew Odlyzko in his unpublished 1992 paper "The 10²⁰-th zero of the Riemann zeta function and 175 million of its neighbors":

Despite the comments above, the idea is to construct a sort of 'archetypal GUE matrix' built from matrix entries involving Gaussian random variables:

We note that the diagonal elements of a Hermitian matrix must be real, and that the (complex) above-diagonal elements determine the (complex) below-diagonal elements via complex conjugation. Hence we can parametrise our N x N Hermitian matrix in terms of a fixed number of real variables (one for each diagonal element, and two for each above-diagonal element - a total of N² parameters).

Having introduced a 2^1/2 scaling factor into the real variables representing diagonal elements (for technical reasons), all of the real parameters are assumed to be independent standard normal variables. Recall that this means they distribute according to the Gaussian distribution with zero mean and variance 1.

Again, it's important to stress the fact that any Hermitian N x N matrix could be said to 'belong' to the GUE according to this (equivalent) definition, but the involvement of probability distributions guarantees that some are 'more likely to show up' than others, according to a very particular law of distribution.

A couple of excellently composed and well-referenced introductions to the relationship between the GUE and the Riemann zeta function:

Steven Finch's notes "GUE hypothesis regarding zeta function spacings"

D. Rockmore and D.L. Snell, "Chance in the Primes, Part III", Chance News

These are complemented by Dan Bump's commentary on the Gaussian Unitary Ensemble Hypothesis, which is a more casual, less technical affair explaining the connections with physics and the Riemann Hypothesis.

I would recommend these three sources (and Mehta's book) for a thorough account of these matters. The commentary immediately below stresses a few points which may help to assist in understanding the main ideas.

Asymptotically, the locations of the nontrivial zeros of the Riemann zeta function distribute in the critical strip according to a fairly simple logarithmic law, much like the primes do along the real line. Whereas the primes tend to become increasingly spaced out at a logarithmic rate, the zeta zeros tend to become more dense.

In order to undertake the most useful statistical analysis of the zeta zeros, it is necessary to 'normalise' them, by applying an appropriate rescaling. The idea is to cause the average spacing between consecutive normalised zeros to equal 1. We can then consider the distribution of these normalised spacings (a countably infinite set of positive values which tend to cluster around the value 1).

Similarly, given a Hermitian matrix of (large) dimension N, as we ascend the spectrum of eigenvalues we find an tendency towards increasing density between larger eigenvalues. This effect can be cancelled by rescaling to produce 'normalised eigenvalues' whose 'average consecutive spacing' is equal to 1. In this way, we can compute the distribution of spacings between consecutive normalised eigenvalues over the entire GUE of N x N Hermitian matrices. Remember that although this computation will involve all N x N Hermitian matrices, there is a 'weighting' so some will have a more significant effect than others.

In his aforementioned paper, Odlyzko sums up the situation:

"The basic results about distribution of GUE eigenvalues are completely rigorous. However, they do have many gaps. One of them is that the results are obtained by averaging over the full ensemble of GUE matrices. It is conjectured that if one considers a large random GUE matrix, the distribution of its eigenvalues will be close to that of the entire ensemble with high probability. Although numerical calculations confirm this conjecture, there is no proof of it."

The GUE Hypothesis, also known as the Odlyzko-Montgomery Law, states that these two 'consecutive normalised spacing' distributions (zeta zeros and GUE eigenvalues) are identical. In other words, the nontrivial zeros of the Riemann zeta function and the eigenvalues of GUE matrices share a particular 'statistical fingerprint'. This hypothesis was inspired by some theoretical work of Montgomery, and backed up by a huge body of experimental evidence provided by Odlyzko.

[Note: In Steve Finch's notes it is pointed out that there is a slight technicality involving the use of only the eigenvalues in the central part or "bulk" of GUE spectra.]

Previous evidence of the nontrivial zeros of the Riemann zeta function behaving like eigenvalues appeared in the early 1950's when Selberg produced his trace formula. This possiblity, that the zeta zeros are 'spectral in nature', is particularly attractive to those trying to prove the Riemann Hypothesis via the suggestion of Hilbert and Pólya.

It is possible to give an explicit expression for this probability distribution which both GUE eigenvalue spacings and zeta zero spacings are conjectured to follow:

There is a sequence of distributions {p(k,u)} of which this is the first. These can all be expressed as power series, and are such that

Here w^(k) denotes the k^th normalised eigenvalue (or zeta zero) to be greater than a given normalised eigenvalue (or zeta zero) w. The probability that w^(k) lies at a distance beyond w between a given pair of limits is equal to the area under the graph of p(k-1,u) between the same limits.

Note that w⁽¹⁾ is the first normalised eigenvalue (or zeta zero) to be greater than w, hence w⁽¹⁾ - w is the distance between consecutive normalised eigenvalues (or zeta zeros) which is what we have been discussing above. It therefore makes sense that

A further prediction, which Odlyzko refers to as the Montgomery pair correlation conjecture, deals with another statistical similarity seemingly shared by the zeta zeros and the GUE eigenvalues.

Here we see a graph of the function

The idea, essentially, is this. Given a normalised zeta zero, and a pair of positive values a, b with a < b, we can consider the number of zeta zeros whose 'heights' above the given zero are between a and b. Montgomery has conjectured that the mean value of such quantity (taken over the whole set of nontrivial zeta zeros) will equal the area under the graph of g(r) between limits a and b (i.e. the integral of g between these limits).

Exactly analogous behaviour had been discovered in the context of random matrix theory by Freeman Dyson, who had been investigating the possibility of using random matrices to model the behaviour of heavy nuclei. Montgomery and Dyson coincidentally became aware of the similarity in each others' work in 1972 while talking informally over tea at Princeton where Montgomery was a visitor.

[excerpt from K. Sabbagh's Dr. Riemann's Zeros (Atlantic, 2002), on this incident]

The fact that the graph of g descends rapidly as we approach zero means that the expection values for the numbers of zeta zeros in regions close to a given zero will rapidly dwindle as we approach zero. It is often said that this suggests a 'repulsion' between zeros, unlike Poisson (purely random) spacing statistics.

Note that we can relate the Montgomery pairwise correlation conjecture to the Montgomery-Odlyzko Law discussed above. We see that

since the expectation value of the number of eigenvalues (or zeta zeros) in a particular interval 'above' a given eigenvalue (or zeta zero) will equal the sum of probabilities of finding the first, second, third,... eigenvalue (or zeta zero) in this interval.

F.W.K. Firk and S.J. Miller, "Nuclei, primes and the random matrix connection" (preprint 09/2009)

[abstract:] "In this article, we discuss the remarkable connection between two very different fields, number theory and nuclear physics. We describe the essential aspects of these fields, the quantities studied, and how insights in one have been fruitfully applied in the other. The exciting branch of modern mathematics, random matrix theory, provides the connection between the two fields. We assume no detailed knowledge of number theory, nuclear physics, or random matrix theory; all that is required is some familiarity with linear algebra and probability theory, as well as some results from complex analysis. Our goal is to provide the inquisitive reader with a sound overview of the subjects, placing them in their historical context in a way that is not traditionally given in the popular and technical surveys."

Note: a possible connection between g(r) and Fibonacci numbers?

[more references can be found in Finch's notes]

H. Montgomery, "The pair correlation of zeros of the zeta function", Analytic Number Theory (Proceedings of Symposia in Pure Mathematics 24) (1973) 181-193.
 

J.P. Keating and N.C. Snaith, "Random matrix theory and zeta(1/2 + it)", Communications in Mathematical Physics 214 (2000) 57-89.

This paper is based on part of Nina Snaith's doctoral research. Her Ph.D. thesis is available here in PostScript format - the initial chapters serve as an excellent introduction to this whole area of study.

J.P. Keating and N.C. Snaith, "Random matrix theory and L-functions at s = 1/2", Communications in Mathematical Physics 214 (2000) 91-110.
 

E. Strahov, "Moments of characteristic polynomials enumerate two-rowed lexicographic arrays"

[Abstract] "A combinatorial interpretation is provided for the moments of characteristic polynomials of random unitary matrices. This leads to a rather unexpected consequence of the Keating and Snaith conjecture: the moments of $|\zeta(1/2+it)|$ turn out to be connected with some increasing subsequences problems (such as the last passage percolation problem).
 

E. Bogomolny, J. Keating, "Random matrix theory and the Riemann zeros I: three- and four-point correlations", Nonlinearity, 8 (1995) 1115-1131.
 

O. Bohigas, P. Leboeuf, M. Sanchez, "On the distribution of the total energy of a system on non-interacting fermions: random matrix and semiclassical estimates"

"A semiclassical formula describing, as a function of n, a non-universal behavior of the variance of the total energy starting at a critical number of particles is...obtained. It is illustrated with the particular case of single particle energies given by the imaginary part of the zeros of the Riemann zeta function on the critical line." 

O. Bohigas, P. Leboeuf, and M.-J. Sanchez, "Spectral spacing correlations for chaotic and disordered systems"

"New aspects of spectral fluctuations of (quantum) chaotic and diffusive systems are considered, namely autocorrelations of the spacing between consecutive levels or spacing autocovariances. They can be viewed as a discretized two point correlation function. Their behavior results from two different contributions. One corresponds to (universal) random matrix eigenvalue fluctuations, the other to diffusive or chaotic characteristics of the corresponding classical motion. A closed formula expressing spacing autocovariances in terms of classical dynamical zeta functions, including the Perron-Frobenius operator, is derived. It leads to a simple interpretation in terms of classical resonances. The theory is applied to zeros of the Riemann zeta function. A striking correspondence between the associated classical dynamical zeta functions and the Riemann zeta itself is found. This induces a resurgence phenomenon where the lowest Riemann zeros appear replicated an infinite number of times as resonances and sub-resonances in the spacing autocovariances. The theoretical results are confirmed by existing "data". The present work further extends the already well known semiclassical interpretation of properties of Riemann zeros."

P. Leboeuf, A. G. Monastra and O. Bohigas, "The Riemannium", Regular and Chaotic Dynamics 6 (2001) 205-210.

[abstract:] "The properties of a fictitious, fermionic, many-body system based on the complex zeros of the Riemann zeta function are studied. The imaginary part of the zeros are interpreted as mean-field single-particle energies, and one fills them up to a Fermi energy E_F. The distribution of the total energy is shown to be non-Gaussian, asymmetric, and independent of E_F in the limit E_F -> infinity. The moments of the limit distribution are computed analytically. The autocorrelation function, the finite energy corrections, and a comparison with random matrix theory are also discussed."

P. Leboeuf and A.G. Monastra, "Quantum thermodynamic fluctuations of a chaotic Fermi-gas model"

[abstract:] "We investigate the thermodynamics of a Fermi gas whose single-particle energy levels are given by the complex zeros of the Riemann zeta function. This is a model for a gas, and in particular for an atomic nucleus, with an underlying fully chaotic classical dynamics. The probability distributions of the quantum fluctuations of the grand potential and entropy of the gas are computed as a function of temperature and compared, with good agreement, with general predictions obtained from random matrix theory and periodic orbit theory (based on prime numbers). In each case the universal and non-universal regimes are identified."

O. Bohigas and M.-J. Giannoni, "Chaotic Motions and Random Matrix Theories", Lecture Notes in Physics 209 (Springer-Verlag, 1984) 1-99.

E. Bogomolny, O. Bohigas, P. Leboeuf, A. G. Monastra, "On the spacing distribution of the Riemann zeros: corrections to the asymptotic result" (preprint 02/2006)

[abstract:] "It has been conjectured that the statistical properties of zeros of the Riemann zeta function near $z = 1/2 + \ui E$ tend, as $E \to \infty$, to the distribution of eigenvalues of large random matrices from the Unitary Ensemble. At finite $E$ numerical results show that the nearest-neighbour spacing distribution presents deviations with respect to the conjectured asymptotic form. We give here arguments indicating that to leading order these deviations are the same as those of unitary random matrices of finite dimension $N_{\rm eff}=\log(E/2\pi)/\sqrt{12 \Lambda}$, where $\Lambda=1.57314 ...$ is a well defined constant."
 

P. Forrester and A. Odlyzko, "A nonlinear equation and its application to nearest neighbor spacings for zeros of the zeta function and eigenvalues of random matrices"

(Abstract) "A nonlinear equation generalizing the $\omega$ form of the Painleve V equation is used to compute the probability density function for the distance from an eigenvalue of a matrix from the GUE ensemble to the eigenvalue nearest to it. (The classical results concern distribution of the distances between consecutive eigenvalues.) Comparisons are made with the corresponding distribution for zeros of the Riemann zeta function, which are conjectured to behave like eigenvalues of large random GUE matrices."
 

N. Katz and P. Sarnak, Random Matrices, Frobenius Eigenvalues, and Monodromy (Colloquium Publications. American Mathematical Society, Vol 45, 1998)

[from the book's introduction:] "In a remarkable numerical experiment, Odlyzko found that the distribution of the (suitably normalized) spacings between successive zeroes of the Riemann zeta function is (empirically) the same as the so-called GUE measure, a certain probability measure on R arising in random matrix theory. His experiment was inspired by work of Montgomery, who determined the pair correlation distribution between zeroes (in a restricted range), and who noted the compatibility of what he found with the GUE prediction. Recent results of Rudnick and Sarnak are also compatible with the belief that the distribution of the spacings between zeros, not only of the Riemann zeta function, but also of quite general automorphic L-functions over Q, are all given by the GUE measure, or, as we shall say, all satisfy the Montgomery-Odlyzko Law. Unfortunately, proving this seems well beyond the range of existing techniques, and we have no results to offer in this direction.

However, it is a long established principle that problems which seem inaccessible in the number field case often have finite field analogues which are accessible. In this book we establish the Montgomery-Odlyzko Law for wide classes of zeta and L-functions over finite fields."

[from a book review:] "Mathematicians from Princeton University focus on the Montgomery-Odlyzko law, the deep relation between the spacings between zeros of zeta and L-functions and spacings between eigenvalues of random elements of large compact classical groups. Finds the law to hold for wide classes of zeta and L-functions over finite fields. Of interest to research mathematicians and graduate students studying such areas as varieties over finite and local fields, zeta-functions, limit theorems, and the structure of families."
 

Z. Rudnick, "Zeta functions in arithmetic and their spectral statistics", Proceedings of a special semester at the Institut Poincaré, 1996.

[from introduction:] "The Riemann zeta function $\zeta(s)$ serves as an important model in many investigations into the theory of Quantum Chaos. My aims in these lectures, which are directed at physicists, are to explain some of the basic properties of $\zeta(s)$ used by number theorists, and discuss the spectral statistics of their zeros in connection with Random Matrix Theory."

Z. Rudnick and P. Sarnak, "Zeros of principal L-functions and random matrix theory", Duke Mathematics Journal 81 (1996) 269-322 (special volume in honour of J. Nash).
 

E. Brezin, S. Hikami, "Characteristic polynomials of random matrices"

"Number theorists have studied extensively the connections between the distribution of zeros of the Riemann zeta-function, and of some generalizations, with the statistics of the eigenvalues of large random matrices. It is interesting to compare the average moments of these functions in an interval to their counterpart in random matrices, which are the expectation values of the characteristic polynomials of the matrix. It turns out that these expectation values are quite interesting." 

E. Brezin, S. Hikami, "Logarithmic moments of characteristic polynomials of random matrices"

"In a recent article we have discussed the connections between averages of powers of Riemann's zeta-function on the critical line, and averages of characteristic polynomials of random matrices. The result for random matrices was shown to be universal, i.e. independent of the specific probability distribution, and the results were derived for arbitrary moments." 
 

J.B. Conrey, M.O. Rubinstein, N.C. Snaith, "Moments of the derivative of the Riemann zeta-function and of characteristic polynomials" (AIM report no. 2005 - 20)

[abstract:] "We investigate the moments of the derivative, on the unit circle, of characteristic polynomials of random unitary matrices and use this to formulate a conjecture for the moments of the derivative of the Riemann zeta-function on the critical line. We do the same for the analogue of Hardy's Z-function, the characteristic polynomial multiplied by a suitable factor to make it real on the unit circle. Our formulae are expressed in terms of a determinant of a matrix whose entries involve the I-Bessel function and, alternately, by a combinatorial sum."

J.B. Conrey, D.W. Farmer, J.P. Keating, M.O. Rubinstein and N.C. Snaith, "Integral moments of L-functions"

[Abstract:] "We give a new heuristic for all of the main terms in the integral moments of various families of L-functions. The results agree with previous conjectures for the leading order terms. Our conjectures also have an almost identical form to exact expressions for the corresponding moments of the characteristic polynomials of either unitary, orthogonal, or symplectic matrices, where the moments are defined by the appropriate group averages. This lends support to the idea that arithmetical L-functions have a spectral interpretation, and that their value distributions can be modeled using Random Matrix Theory. Numerical examples show good agreement with our conjectures."

D. Farmer, F. Mezzadri, N.C. Snaith, "Random polynomials, random matrices, and L-functions, II" (preprint 09/05)

[abstract:] "We show that the Circular Orthogonal Ensemble of random matrices arises naturally from a family of random polynomials. This sheds light on the appearance of random matrix statistics in the zeros of the Riemann zeta-function."

[from introduction:] "This paper is motivated by the following questions: do the Riemann zeta-function and the other L-functions of number theory behave differently than random Dirichlet series with functional equation which just happen to satisfy the Riemann hypothesis? That is, does the Euler product have any effect on the zeros beyond forcing them onto the critical line? Our results suggest that the answer is 'yes', and the Euler product also has an effect on the local statistics of the zeros."

F. Mezzadri, "Random matrix theory and the zeros of zeta'(s)", J. Phys. A 36 (2003), 2945-2962 (Special Issue on RMT)

[abstract:] "We study the density of the roots of the derivative of the characteristic polynomial Z(U,z) of an N x N random unitary matrix with distribution given by Haar measure on the unitary group. Based on previous random matrix theory models of the Riemann zeta function zeta(s), this is expected to be an accurate description for the horizontal distribution of the zeros of zeta'(s) to the right of the critical line. We show that as N -> infinity the fraction of roots of Z'(U,z) that lie in the region 1-x/(N-1) <= |z| < 1 tends to a limit function. We derive asymptotic expressions for this function in the limits x -> infinity and x -> 0 and compare them with numerical experiments."

D.W. Farmer, "Mean values of the logarithmic derivative of the zeta function and the GUE hypothesis"

"The GUE Hypothesis, which concerns the distribution of zeros of the Riemann zeta-function, is used to evaluate some integrals involving the logarithmic derivative of the zeta-function. Some connections are shown between the GUE Hypothesis and other conjectures."

D.W. Farmer, "Modeling families of L-functions" (preprint 11/05)

[abstract:] "We discuss the idea of a 'family of L-functions' and describe various methods which have been used to make predictions about L-function families. The methods involve a mixture of random matrix theory and heuristics from number theory. Particular attention is paid to families of elliptic curve L-functions. We describe two random matrix models for elliptic curve families: the Independent Model and the Interaction Model."
 

O. Costin, J.L. Lebowitz, "Gaussian fluctuations in random matrices", Physical Review Letters, 75 (1995) 69.

"Let N(L) be the number of eigenvalues, in an interval of length L, of a matrix chosen at random from the Gaussian Orthogonal, Unitary or Symplectic ensembles of {\cal N} by {\cal N} matrices, in the limit {\cal N}\rightarrow\infty. We prove that [N(L) - \langle N(L)\rangle]/\sqrt{\log L} has a Gaussian distribution when L\rightarrow\infty. This theorem, which requires control of all the higher moments of the distribution, elucidates numerical and exact results on chaotic quantum systems and on the statistics of zeros of the Riemann zeta function."
 

C. Hughes, J. Keating, and N. O'Connell, "Random Matrix Theory and the Derivative of the Riemann Zeta Function", Proceedings of the Royal Society A456 (2000) 2611-2627.

"Random matrix theory (RMT) is used to model the asymptotics of the discrete moments of the derivative of the Riemann zeta function, $\zeta(s)$, evaluated at the complex zeros $\tfrac{1}{2}+\i\gamma_n$, using the methods introduced by Keating and Snaith. We also discuss the probability distribution of $\ln|\zeta'(1/2+\i\gamma_n)|$, proving the central limit theorem for the corresponding random matrix distribution and analysing its large deviations."

C. Hughes, "Central limit theorems and large deviations for the characteristic polynomial of a random unitary matrix and the Riemann zeta function" (a talk given at the DMV seminar "The Riemann zeta function and random matrix theory", Oct 2000)

C. Hughes, J. Keating, and N. O'Connell, "On the Characteristic Polynomial of a Random Unitary Matrix" (to be published in Communications in Mathematical Physics)

"We present a range of fluctuation and large deviations results for the logarithm of the characteristic polynomial $Z$ of a random $N\times N$ unitary matrix, as $N\to\infty$. First we show that $\ln Z/\sqrt{\frac{1}{2}\ln N}$, evaluated at a finite set of distinct points, is asymptotically a collection of i.i.d. complex normal random variables. This leads to a refinement of a recent central limit theorem due to Keating and Snaith, and also explains the covariance structure of the eigenvalue counting function. We also obtain a central limit theorem for $\ln Z$ in a Sobolev space of generalised functions on the unit circle. In this limiting regime, lower-order terms which reflect the global covariance structure are no longer negligable and feature in the covariance structure of the limiting Gaussian measure. Large deviations results for $\ln Z/A$, evaluated at a finite set of distinct points, can be obtained for $\sqrt{\ln N} \ll A \ll \ln N$. For higher-order scalings we obtain large deviations results for $\ln Z/A$ evaluated at a single point. There is a phase transition at $A=\ln N$ (which only applies to negative deviations of the real part) reflecting a switch from global to local conspiracy."
 

Y. Fyodorov, "Negative moments of characteristic polynomials of random matrices: Ingham-Siegel integral as an alternative to Hubbard-Stratonovich transformation", Nuclear Physics B 621 (2002) 643-674.

(Abstract) "We reconsider the problem of calculating arbitrary negative integer moments of the (regularized) characteristic polynomial for N x N random matrices taken from the Gaussian Unitary Ensemble (GUE). A very compact and convenient integral representation is found via the use of a matrix integral close to that considered by Ingham and Siegel. We find the asymptotic expression for the discussed moments in the limit of large N. The latter is of interest because of a conjectured relation to properties of the Riemann zeta-function zeroes. Our method reveals a striking similarity between the structure of the negative and positive integer moments which is usually obscured by the use of the Hubbard-Stratonovich transformation. This sheds a new light on "bosonic" versus "fermionic" replica trick and has some implications for the supersymmetry method. We briefly discuss the case of the chiral GUE model from that perspective."
 

Z. Ahmed and S.R. Jain, "A pseudo-unitary ensemble of random matrices, PT-symmetry and the Riemann Hypothesis" (preprint 07/04)

[abstract:] "An ensemble of 2 x 2 pseudo-Hermitian random matrices is constructed that possesses real eigenvalues with level-spacing distribution exactly as for the Gaussian Unitary Ensemble found by Wigner. By a re-interpretation of Connes' spectral interpretation of the zeros of the Riemann zeta function, we propose to enlarge the scope of search of the Hamiltonian connected with the celebrated Riemann Hypothesis by suggesting that the Hamiltonian could also be PT-symmetric (or pseudo-Hermitian)."

Z. Ahmed, "Gaussian-random Ensembles of Pseudo-Hermitian Matrices", Invited Talk Delivered in 2^nd International Workshop on 'Pseudo-Hermitian Hanmiltonians in Physics', Prague, June 14-16, 2004

[abstract:] "Attention has been brought to the possibility that statistical fluctuation properties of several complex spectra, or, well-known number sequences may display strong signatures that the Hamiltonian yielding them as eigenvalues is PT-symmetric (Pseudo-Hermitian). We find that the random matrix theory of pseudo-Hermitian Hamiltonians gives rise to new universalities of level-spacing distributions other than those of GOE, GUE and GSE of Wigner and Dyson. We call the new proposals as Gaussian Pseudo-Orthogonal Ensemble and Gaussian Pseudo-Unitary Ensemble. We are also led to speculate that the enigmatic Riemann-zeros would rather correspond to some PT-symmetric (pseudo-Hermitian) Hamiltonian. "
 

A. Edelman, P.-O. Persson, "Numerical methods for eigenvalue distributions of random matrices (preprint 01/05)

[abstract:] "We present efficient numerical techniques for calculation of eigenvalue distributions of random matrices in the beta-ensembles. We compute histograms using direct simulations on very large matrices, by using tridiagonal matrices with appropriate simplifications. The distributions are also obtained by numerical solution of the Painleve II and V equations with high accuracy. For the spacings we show a technique based on the Prolate matrix and Richardson extrapolation, and we compare the distributions with the zeros of the Riemann zeta function."
 

P. Diaconis and M. Coram, "New Tests of the Correspondence Between Unitary Eigenvalues and the zeros of Riemann's Zeta Function" [PostScript]
 

T. Kriecherbauer, J. Marklof and A. Soshnikov, "Random matrices and quantum chaos" (brief introductory article, including a description of how this relates to the Riemann Hypothesis)
 

J.-F. Burnol, speculative excerpt from "On Fourier and zeta(s)" relating the GUE hypothesis to his earlier work on physical interpretations of number theoretical phenomena.
 

E. Wigner, "Random matrices in physics", SIAM Review 9 (1967) 1-123.
 

A.V. Andreev, O. Agam, B.D. Simons, B.L. Altschuler, "Quantum chaos, irreversible classical dynamics, and random matrix theory", Physical Review Letters 76 (1996) 3497
 

P. Deift, "Universality for mathematical and physical systems" (preprint 03/2006)

[abstract:] "All physical systems in equilibrium obey the laws of thermodynamics. In other words, whatever the precise nature of the interaction between the atoms and molecules at the microscopic level, at the macroscopic level, physical systems exhibit universal behavior in the sense that they are all governed by the same laws and formulae of thermodynamics. In this paper we describe some recent history of universality ideas in physics starting with Wigner's model for the scattering of neutrons off large nuclei and show how these ideas have led mathematicians to investigate universal behavior for a variety of mathematical systems. This is true not only for systems which have a physical origin, but also for systems which arise in a purely mathematical context such as the Riemann hypothesis, and a version of the card game solitaire called patience sorting."
 

J.B. Conrey, D.W. Farmer, J.P. Keating, M.O. Rubinstein, N.C. Snaith, "Lower order terms in the full moment conjecture for the Riemann zeta function" (preprint 12/2006)

[abstract:] "We describe an algorithm for obtaining explicit expressions for lower terms for the conjectured full asymptotics of the moments of the Riemann zeta function, and give two distinct methods for obtaining numerical values of these coefficients. We also provide some numerical evidence in favour of the conjecture."
 

N.Kobayashi, M. Izumi, M. Katori, "Maximum distributions of noncolliding Bessel bridges" (preprint 08/2008)

[abstract:] "The one-dimensional Brownian motion starting from the origin at time $t=0$, conditioned to return to the origin at time $t=1$ and to stay positive during time interval $0 < t < 1$, is called the Bessel bridge with duration 1. We consider the $N$-particle system of such Bessel bridges conditioned never to collide with each other in $0 < t < 1$, which is the continuum limit of the vicious walk model in watermelon configuration with a wall. Distributions of maximum-values of paths attained in the time interval $t \in (0,1)$ are studied to characterize the statistics of random patterns of the repulsive paths on the spatio-temporal plane. For the outermost path, the distribution function of maximum value is exactly determined for general $N$. We show that the present $N$-path system of noncolliding Bessel bridges is realized as the positive-eigenvalue process of the $2N \times 2N$ matrix-valued Brownian bridge in the symmetry class C. Using this fact computer simulations are performed and numerical results on the $N$-dependence of the maximum-value distributions of the inner paths are reported. The present work demonstrates that the extreme-value problems of noncolliding paths are related with the random matrix theory, representation theory of symmetry, and the number theory."
 

S. Torquato, A. Scardicchio, C.E. Zachary, "Point processes in arbitrary dimension from fermionic gases, random matrix theory, and number theory" (preprint 09/2008)

[abstract:] "It is well known that one can map certain properties of random matrices, fermionic gases, and zeros of the Riemann zeta function to a unique point process on the real line. Here we analytically provide exact generalizations of such a point process in $d$-dimensional Euclidean space for any $d$, which are special cases of determinantal processes. In particular, we obtain the $n$-particle correlation functions for any n, which completely specify the point processes. We also demonstrate that spin-polarized fermionic systems have these same $n$-particle correlation functions in each dimension. The point processes for any $d$ are shown to be hyperuniform. The latter result implies that the pair correlation function tends to unity for large pair distances with a decay rate that is controlled by the power law $r^{-(d+1)}$. We graphically display one- and two-dimensional realizations of the point processes in order to vividly reveal their "repulsive" nature. Indeed, we show that the point processes can be characterized by an effective "hard-core" diameter that grows like the square root of $d$. The nearest-neighbor distribution functions for these point processes are also evaluated and rigorously bounded. Among other results, this analysis reveals that the probability of finding a large spherical cavity of radius $r$ in dimension $d$ behaves like a Poisson point process but in dimension $d+1$ for large r and finite $d$. We also show that as $d$ increases, the point process behaves effectively like a sphere packing with a coverage fraction of space that is no denser than $1/2^d$."
 

Abstracts from MSRI conference "Random Matrices and Their Applications: Quantum Chaos, GUE Conjecture for Zeros of Zeta Functions, Combinatorics, and All That" (June 7-11, 1999)

MSRI archive - streaming video of numerous lectures on random matrix theory:

Random Matrix, Statistical Mechanics, and Integrable Systems Workshop, February 22-26, 1999

Random Matrices and their Applications, June 7-11, 1999
 

Random Matrices Conference, MIT, 12 August 2001.

Zeta Functions, Random Matrices and Quantum Chaos Workshop, Bristol, UK, 13-14 September, 2001.

P.E. Cartier, B. Julia, P. Moussa and P. Vanhove (eds.), Frontiers in Number Theory, Physics, and Geometry: On Random Matrices, Zeta Functions, and Dynamical Systems (Springer, due March 2006)

[publisher's description:] "This book presents pedagogical contributions on selected topics relating Number Theory, Theoretical Physics and Geometry. The parts are composed of long self-contained pedagogical lectures followed by shorter contributions on specific subjects organized by theme. Most courses and short contributions go up to the recent developments in the fields; some of them follow their author's original viewpoints. There are contributions on Random Matrix Theory, Quantum Chaos, Non-commutative Geometry, Zeta functions, and Dynamical Systems. The chapters of this book are extended versions of lectures given at a meeting entitled Number Theory, Physics and Geometry, held at Les Houches in March 2003."

"Recent Perspectives in Random Matrix Theory and Number Theory", Isaac Newton Institute of Mathematical Sciences, Cambridge, UK, 29 March - 8 April 2004

This was linked with the Isaac Newton Institute programme:

"Random Matrix Approaches in Number Theory", 26 January - 16 July 2004

Workshop on Number Theory and Random Matrix Theory, June 1-3, 2005, Waterloo, Canada