1,017 research outputs found
A Limit Theorem for Shifted Schur Measures
To each partition with distinct parts we assign the probability
where and are the Schur
-functions and is a normalization constant. This measure, which we call
the shifted Schur measure, is analogous to the much-studied Schur measure. For
the specialization of the first coordinates of and the first
coordinates of equal to () and the rest equal to zero,
we derive a limit law for as m,n\ra\infty with fixed.
For the Schur measure the -specialization limit law was derived by
Johansson. Our main result implies that the two limit laws are identical.Comment: 35 pages, 2 figures. Version 3 adds a section on the Poisson limit of
the shifted Schur measur
Random Unitary Matrices, Permutations and Painleve
This paper is concerned with certain connections between the ensemble of n x
n unitary matrices -- specifically the characteristic function of the random
variable tr(U) -- and combinatorics -- specifically Ulam's problem concerning
the distribution of the length of the longest increasing subsequence in
permutation groups -- and the appearance of Painleve functions in the answers
to apparently unrelated questions. Among the results is a representation in
terms of a Painleve V function for the characteristic function of tr(U) and
(using recent results of Baik, Deift and Johansson) an expression in terms of a
Painleve II function for the limiting distribution of the length of the longest
increasing subsequence in the hyperoctahedral group.Comment: 21 pages, 1 figure. Revised paper simplifies the statement of Theorem
1 and adds some additional reference
Correlation Functions, Cluster Functions and Spacing Distributions for Random Matrices
The usual formulas for the correlation functions in orthogonal and symplectic
matrix models express them as quaternion determinants. From this representation
one can deduce formulas for spacing probabilities in terms of Fredholm
determinants of matrix-valued kernels. The derivations of the various formulas
are somewhat involved. In this article we present a direct approach which leads
immediately to scalar kernels for unitary ensembles and matrix kernels for the
orthogonal and symplectic ensembles, and the representations of the correlation
functions, cluster functions and spacing distributions in terms of them.Comment: 22 pages. LaTeX file. Minor correctio
A Distribution Function Arising in Computational Biology
Karlin and Altschul in their statistical analysis for multiple high-scoring
segments in molecular sequences introduced a distribution function which gives
the probability there are at least r distinct and consistently ordered segment
pairs all with score at least x. For long sequences this distribution can be
expressed in terms of the distribution of the length of the longest increasing
subsequence in a random permutation. Within the past few years, this last
quantity has been extensively studied in the mathematics literature. The
purpose of these notes is to summarize these new mathematical developments in a
form suitable for use in computational biology.Comment: 9 pages, no figures. Revised version makes minor change
Application of Random Matrix Theory to Multivariate Statistics
This is an expository account of the edge eigenvalue distributions in random
matrix theory and their application in multivariate statistics. The emphasis is
on the Painlev\'e representations of these distributions
On the ground state energy of the delta-function Bose gas
The weak coupling asymptotics, to order , of the ground state
energy of the delta-function Bose gasmis derived. Here is the
delta-function potential amplitude and the density of the gas in the
thermodynamic limit. The analysis uses the electrostatic interpretation of the
Lieb-Liniger integral equation.Comment: 18 page
On ASEP with Periodic Step Bernoulli Initial Condition
We consider the asymmetric simple exclusion process (ASEP) on the integers in
which the initial density at a site (the probability that it is occupied) is
given by a periodic function on the positive integers. (When the function is
constant this is the step Bernoulli initial condition.) Starting with a result
in earlier work we find a formula for the probability distribution for a given
particle at a given time which is a sum over positive integers k of integrals
of order k.Comment: 8 pages. In version 2 the proof of the main result is simplified, and
another one is obtained in the proces
Matrix Kernels for the Gaussian Orthogonal and Symplectic Ensembles
We derive the limiting matrix kernels for the the Gaussian Orthogonal and
Symplectic ensembles scaled at the edge, with proofs of convergence in the
operator norms that assure convergence of the determinants.Comment: 10 pages, LaTe
On the limit of some Toeplitz-like determinants
In this article we derive, using standard methods of Toeplitz theory, an
asymptotic formula for certain large minors of Toeplitz matrices. D. Bump and
P. Diaconis obtained the same asymptotics using representation theory, with an
answer having a different form.Comment: LaTeX file, 3 page
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