281 research outputs found
Large n limit of Gaussian random matrices with external source, Part III: Double scaling limit
We consider the double scaling limit in the random matrix ensemble with an
external source \frac{1}{Z_n} e^{-n \Tr({1/2}M^2 -AM)} dM defined on Hermitian matrices, where is a diagonal matrix with two eigenvalues of equal multiplicities. The value is critical since the eigenvalues
of accumulate as on two intervals for and on one
interval for . These two cases were treated in Parts I and II, where
we showed that the local eigenvalue correlations have the universal limiting
behavior known from unitary random matrix ensembles. For the critical case
new limiting behavior occurs which is described in terms of Pearcey
integrals, as shown by Br\'ezin and Hikami, and Tracy and Widom. We establish
this result by applying the Deift/Zhou steepest descent method to a -matrix valued Riemann-Hilbert problem which involves the construction of a
local parametrix out of Pearcey integrals. We resolve the main technical issue
of matching the local Pearcey parametrix with a global outside parametrix by
modifying an underlying Riemann surface.Comment: 36 pages, 9 figure
Discretization Dependence of Criticality in Model Fluids: a Hard-core Electrolyte
Grand canonical simulations at various levels, -20, of fine- lattice
discretization are reported for the near-critical 1:1 hard-core electrolyte or
RPM. With the aid of finite-size scaling analyses it is shown convincingly
that, contrary to recent suggestions, the universal critical behavior is
independent of (\grtsim 4); thus the continuum RPM
exhibits Ising-type (as against classical, SAW, XY, etc.) criticality. A
general consideration of lattice discretization provides effective
extrapolation of the {\em intrinsically} erratic -dependence, yielding
(\Tc^ {\ast},\rhoc^{\ast})\simeq (0.0493_{3},0.075) for the
RPM.Comment: 4 pages including 4 figure
Spectral statistics for quantized skew translations on the torus
We study the spectral statistics for quantized skew translations on the
torus, which are ergodic but not mixing for irrational parameters. It is shown
explicitly that in this case the level--spacing distribution and other common
spectral statistics, like the number variance, do not exist in the
semiclassical limit.Comment: 7 pages. One figure, include
Spectra of random Hermitian matrices with a small-rank external source: supercritical and subcritical regimes
Random Hermitian matrices with a source term arise, for instance, in the
study of non-intersecting Brownian walkers \cite{Adler:2009a, Daems:2007} and
sample covariance matrices \cite{Baik:2005}.
We consider the case when the external source matrix has two
distinct real eigenvalues: with multiplicity and zero with multiplicity
. The source is small in the sense that is finite or , for . For a Gaussian potential, P\'ech\'e
\cite{Peche:2006} showed that for sufficiently small (the subcritical
regime) the external source has no leading-order effect on the eigenvalues,
while for sufficiently large (the supercritical regime) eigenvalues
exit the bulk of the spectrum and behave as the eigenvalues of
Gaussian unitary ensemble (GUE). We establish the universality of these results
for a general class of analytic potentials in the supercritical and subcritical
regimes.Comment: 41 pages, 4 figure
Scaled Correlations of Critical Points of Random Sections on Riemann Surfaces
In this paper we prove that as N goes to infinity, the scaling limit of the
correlation between critical points z1 and z2 of random holomorphic sections of
the N-th power of a positive line bundle over a compact Riemann surface tends
to 2/(3pi^2) for small sqrt(N)|z1-z2|. The scaling limit is directly calculated
using a general form of the Kac-Rice formula and formulas and theorems of Pavel
Bleher, Bernard Shiffman, and Steve Zelditch.Comment: 55 pages. LaTeX. output.txt is the output of running
heisenberg_simpler.mpl through maple. heisenberg_simpler.mpl can be run by
maple at the command line by saying 'maple -q heisenberg_simpler.mpl' to see
the maple calculations that generated the matrices U(t) and D(t) described in
the paper's appendix. It may also be run by opening it with GUI mapl
The Julia sets and complex singularities in hierarchical Ising models
We study the analytical continuation in the complex plane of free energy of
the Ising model on diamond-like hierarchical lattices. It is known that the
singularities of free energy of this model lie on the Julia set of some
rational endomorphism related to the action of the Migdal-Kadanoff
renorm-group. We study the asymptotics of free energy when temperature goes
along hyperbolic geodesics to the boundary of an attractive basin of . We
prove that for almost all (with respect to the harmonic measure) geodesics the
complex critical exponent is common, and compute it
Exact solution of the six-vertex model with domain wall boundary condition. Critical line between ferroelectric and disordered phases
This is a continuation of the papers [4] of Bleher and Fokin and [5] of
Bleher and Liechty, in which the large asymptotics is obtained for the
partition function of the six-vertex model with domain wall boundary
conditions in the disordered and ferroelectric phases, respectively. In the
present paper we obtain the large asymptotics of on the critical line
between these two phases.Comment: 22 pages, 6 figures, to appear in the Journal of Statistical Physic
Convergence of random zeros on complex manifolds
We show that the zeros of random sequences of Gaussian systems of polynomials
of increasing degree almost surely converge to the expected limit distribution
under very general hypotheses. In particular, the normalized distribution of
zeros of systems of m polynomials of degree N, orthonormalized on a regular
compact subset K of C^m, almost surely converge to the equilibrium measure on K
as the degree N goes to infinity.Comment: 16 page
Universality of a double scaling limit near singular edge points in random matrix models
We consider unitary random matrix ensembles Z_{n,s,t}^{-1}e^{-n tr
V_{s,t}(M)}dM on the space of Hermitian n x n matrices M, where the confining
potential V_{s,t} is such that the limiting mean density of eigenvalues (as
n\to\infty and s,t\to 0) vanishes like a power 5/2 at a (singular) endpoint of
its support. The main purpose of this paper is to prove universality of the
eigenvalue correlation kernel in a double scaling limit. The limiting kernel is
built out of functions associated with a special solution of the P_I^2
equation, which is a fourth order analogue of the Painleve I equation. In order
to prove our result, we use the well-known connection between the eigenvalue
correlation kernel and the Riemann-Hilbert (RH) problem for orthogonal
polynomials, together with the Deift/Zhou steepest descent method to analyze
the RH problem asymptotically. The key step in the asymptotic analysis will be
the construction of a parametrix near the singular endpoint, for which we use
the model RH problem for the special solution of the P_I^2 equation.
In addition, the RH method allows us to determine the asymptotics (in a
double scaling limit) of the recurrence coefficients of the orthogonal
polynomials with respect to the varying weights e^{-nV_{s,t}} on \mathbb{R}.
The special solution of the P_I^2 equation pops up in the n^{-2/7}-term of the
asymptotics.Comment: 32 pages, 3 figure
- …