406 research outputs found
Self-adjoint difference operators and classical solutions to the Stieltjes--Wigert moment problem
The Stieltjes-Wigert polynomials, which correspond to an indeterminate moment
problem on the positive half-line, are eigenfunctions of a second order
q-difference operator. We consider the orthogonality measures for which the
difference operator is symmetric in the corresponding weighted -spaces.
These measures are exactly the solutions to the q-Pearson equation.In the case
of discrete and absolutely continuous measures the difference operator is
essentially self-adjoint, and the corresponding spectral decomposition is given
explicitly. In particular, we find an orthogonal set of q-Bessel functions
complementing the Stieltjes-Wigert polynomials to an orthogonal basis for
when is a discrete orthogonality measure solving the q-Pearson
equation. To obtain the spectral decomposition of the difference operator in
case of an absolutely continuous orthogonality measure we use the results from
the discrete case combined with direct integral techniques.Comment: 22 pages; section 2 rewritten, to appear in Journal of Approximation
Theor
Finite Gap Jacobi Matrices, I. The Isospectral Torus
Let be a finite union of disjoint closed
intervals. In the study of OPRL with measures whose essential support is
, a fundamental role is played by the isospectral torus. In this
paper, we use a covering map formalism to define and study this isospectral
torus. Our goal is to make a coherent presentation of properties and bounds for
this special class as a tool for ourselves and others to study perturbations.
One important result is the expression of Jost functions for the torus in terms
of theta functions.Comment: 68 pages, 4 figure
A geometric approach to approximating the limit set of eigenvalues for banded Toeplitz matrices
This article is about finding the limit set for banded Toeplitz matrices. Our
main result is a new approach to approximate the limit set where
is the symbol of the banded Toeplitz matrix. The new approach is
geometrical and based on the formula . We show that the full intersection can be approximated
by the intersection for a finite number of 's, and that the intersection
of polygon approximations for yields an approximating
polygon for that converges to in the Hausdorff
metric. Further, we show that one can slightly expand the polygon
approximations for to ensure that they contain . Then, taking the intersection yields an approximating superset of
which converges to in the Hausdorff metric, and is
guaranteed to contain . We implement the algorithm in Python and
test it. It performs on par to and better in some cases than existing
algorithms. We argue, but do not prove, that the average time complexity of the
algorithm is , where is the number of 's and
is the number of vertices for the polygons approximating . Further, we argue that the distance from to both the
approximating polygon and the approximating superset decreases as
for most of , where is the number of elementary
operations required by the algorithm.Comment: 20 pages, 8 figures. Submitted to SIAM Journal on Matrix Analysis and
Application
Finite Gap Jacobi Matrices, III. Beyond the Szegő Class
Let e ⊂ R be a finite union of ℓ+1 disjoint closed intervals, and denote by ω_j the harmonic measure of the j left-most bands. The frequency module for e is the set of all integral combinations of ω_1,…,ω_ℓ. Let {a_nb_n}^∞_(n=−∞) be a point in the isospectral torus for e and p_n its orthogonal polynomials. Let {a_nb_n}^∞_(n=1) be a half-line Jacobi matrix with a_n=a_n+δa_n, b_n=b_n+δb_n. Suppose ∑^∞_(n=1)│δan│^2 + │δb_n│^2 < ∞ and ∑^N_n=1^e^(2πiωn), δa_n ∑^N_n=1^e^(2πiωn) δb_n have finite limits as N → ∞ for all ω in the frequency module. If, in addition, these partial sums grow at most subexponentially with respect to ω, then for z∈ℂ∖ℝ, p_n(z)p_n(z) has a limit as n→∞. Moreover, we show that there are non-Szegő class J’s for which this holds
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