Graduate course on SPECIAL TOPICS IN NUMERICAL LINEAR ALGEBRA organized in the context of the UCL/DEA in Mathematics and sponsored by the Inter University Pole of Attraction V/10/29 "Dynamical Systems and Control : Computation, Identification and Modelling"
Venue : Auditoire CESAME,
Av. G. Lemaitre 4, B-1348 Louvain-la-Neuve
Click here for directions
and a map
If students register for this course and request an evaluation, this can be arranged (in the form of a short report or additional presentation on one of the topics addressed in these seminars)
PS: This page will be updated
with slides of the talks and related papers as soon as they become available
14:00-14:10 Introduction
(Paul Van Dooren, CESAME, UCL)
14:10-15:10 Positive Caratheodory
interpolation on the polydisk Slides
(Hugo Woerdeman, Dept. Mathematics, William and Mary, USA)
Abstract
The positive Caratheodory
interpolation problem in the Agler-Herglotz class on the polydisc is solved,
along with a several variable version of the Naimark dilation theorem.
In addition, the positive Caratheodory interpolation problem for general
holomorphic functions is discussed and numerical results are presented
Related report :
Positive Caratheodory interpolation on the polydisk
15:30-16:30 Rational approximation
theory solving a telecom problem Slides
(Annie Cuyt, Dept. Mathematics, UIA)
Abstract
The telecom problem
under consideration is the computation of the cell loss probabilities of
a multiplexer. This problem could not be dealt with efficiently until we
recently proposed the use of rational models. The problem is univariate
in nature and I have to introduce Thiele interpolating continued fractions
and partial Newton-Pade approximants. Then I build up the problem from
easy to difficult and I discuss the ability of the new method to deal with
all situations
Related report : Rational approximation
theory solving a telecom problem
14:00-15:00 Positive extensions
and Riesz-Fejer factorization for two-variable trigonometric
polynomials Slides
(Hugo Woerdeman, Dept. Mathematics, William and Mary, USA)
Abstract
The autoregressive
filter problem for bivariate stochastic processes is reduced to a finite
positive definite matrix completion problem where the completion is required
to satisfy additional low rank conditions. The autoregressive filter problem
may also be interpreted as a two-variable positive extension problem for
trigonometric polynomials where the extension is required to be the reciprocal
of the absolute value squared of a stable polynomial. For the proof a specific
two-variable Kronecker theorem is developed, as well as a two-variable
Christoffel-Darboux formula. As a corollary of the main result a necessary
and sufficient condition for the existence of a spectral Riesz-Fejer factorization
of a two-variable trigonometric polynomial is given in terms of the Fourier
coefficients of its reciprocal
Related papers:
Positive extensions
and Riesz-Fejer factorization for two-variable trigonometric
polynomials
A numerical algorithm
for stable 2D autoregressive filter design
15:15-16:15 Optimization problems
over nonnegative trigonometric polynomials with interpolation
constraints Slides
(Yvan Hachez and Yurii Nesterov, CESAME, UCL)
Abstract
Optimization problems
over the cone of nonnegative trigonometric polynomials are described. We
focus on linear constraints on the coefficients that represent interpolation
constraints. For these problems, the complexity of solving the dual problem
is shown to be almost independent of the number of constraints, provided
that an appropriate preprocessing has been done. These results can be extended
to other curves of the complex plane (real axis, imaginary axis), to nonnegative
matrix polynomials and to interpolation constraints on the derivatives
Related paper: Optimization problems
over nonnegative trigonometric polynomials with interpolation
constraints
14:00-15:00 Orthogonal rational
functions and diagonal plus semiseparable matrices
Slides
(Marc Van Barel, Dept. Comp. Sc., KUL)
Abstract
We consider the vector space of all proper rational functions having
possible poles in n given points, and give a bilinear form that
defines an inner product in this space. We then study the properties
of an orthonormal basis of the above space with respect to that inner
product. We also design an efficient and stable algorithm to compute
such a basis via a suitable recurrence relationship and indicate the
relation with the inverse eigenvalue problem for diagonal plus
symmetric semiseparable matrices
Extended abstract
15:15-16:15 Positive definite
Hankel matrices, positive real functions and related questions
(Yves Genin, CESAME, UCL)
Abstract
It has been known for decades that any Caratheory function defines an
infinite nested set of nonnegative Toeplitz matrices and
conversely. It is much less known that a similar property holds true
for nonnegative definite Hankel matrices in a somewhat weaker
sense. In the Hankel case, the duality in question only involves an
appropriate subclass of the whole class of positive real
functions. The properties of this subclass of functions, which
encompasses in particular the so called lossless functions, will be
discussed in some details. Furthermore and as an application, it will
be shown how the Hankel matrix extension problem and some of its
generalizations to the undefinite situation can be solved at this
light in a straightforward manner
Related paper:
Hankel matrices, positive real functions and related questions
14:00-15:00 Rational approximation
and balanced truncation
(Jan Willems, Dept. El. Engrg. ESAT, KUL)
Abstract
We will deal with the ubiquitous finite-dimensional linear systems
d/dt x=Ax+Bu, y=Cx+Du. After reviewing the construction of a
balanced state representation for a controllable/observable system, we
define what is meant by a balanced truncation, and point out the
relation with the Hankel singular values. We subsequently discuss two
important issues of the reduced model: its stability, and the
H_infinity error bound. Both involve, in a somewhat curious
way, the Hankel sigular values and their multiplicites. The theory that
we discuss is not original work of the speaker. At best, the proofs are
new. The proof of the error bound, in fact, is based on the theory of
dissipative systems
15:15-16:15 Rational interpolation
and model reduction Slides
(Antoine Vandendorpe and Paul Van Dooren, CESAME, UCL)
Abstract
We consider the problem of constructing a reduced order system of a
given linear time-invariant system described by a (generalized)
state-space model. We derive an explicit way of constructing such
reduced order via Multipoint Pade techniques and discuss the
complexity of this approach for large systems described by sparse
models. We also show that this approach is in fact quite general.
For SISO systems it essentially allows to construct any reduced order
model, provided the interpolation points are appropriately chosen.
For MIMO systems we need to extend Multipoint Pade to tangential
interpolation, and we show that there then are mild constraints on the
type of reduced order models that can be obtained in this manner
Related report : Model reduction via truncation :
an interpolation point of view
14:00-15:00 Spectral factorizations
and sums of squares representations via semidefinite programming
Slides
(Hugo Woerdeman, Dept. Mathematics, William and Mary, USA)
Abstract
It is known that
a matrix (trigonometric) polynomial that is nonnegative definite on the
real axis (on the circle) allows a stable factorization. We shall explore
the different possibilities how the stable spectral factor may be determined
via semidefinite programming. In the dual formulation this leads to a question
what possible barrier functions there exist for classes of positive
semidefinite structured block matrices. The multivariable version,
i.e. finding sums of squares representations, is also
explored. Appropriate definitions for stability in this context also
come to pass
Related papers:
Spectral factorizations and sums of squares representations via
semidefinite programming
Model Theory for rho-contractions
15:15-16:15 Commutant lifting
and metric constrained interpolation Slides
(Rien Kaashoek, Dept. Mathematics, VU Amsterdam)
Abstract
The Sz-Nagy-Foias commutant lifting theorem has proved
to be a useful tool in solving metric constrained interpolation
problems appearing in mathematics and engineering. In this talk we
use the classical Caratheodory-Schur extension problem to
motivate this theorem and the underlying general lifting problem.
A few other applications to metric constrained interpolation will
be discussed too. Next, two new versions of the lifting theorem
will be developed. The first is a relaxed version of the theorem,
and the second a robust version. Also some new applications will
be considered
14:00-15:00 Identification with
rational functions Slides
(Patrick Van gucht and Adhemar Bultheel, Dept. Comp. Sc., KUL)
Abstract
In the last few decades of research in system identification,
much effort has gone to including prior knowledge of the position
of the poles in the rational model for a system.
We show how the theory of orthogonal rational functions, (a generalization of
the orthogonal polynomials), fit into this framework if we take a
weight function depending on the input signal. Moreover, this
technique can provide much more accurate results than the rational
functions, used in other research, due to an optimal condition of the
Jacobian in the approximation problem
Related paper:
Using orthogonal rational functions for system identification
15:15-16:15 Asymptotic
convergence rates of rational interpolation to exponential functions
(Alphonse Magnus, CESAME, UCL)
Abstract
Several ways to build rational approximations to
various species of analytic functions are examined. Special emphasis
is put on strong asymptotic estimates of the form $f(z) -R_n(z) \sim
\sigma(z) \rho^n(z)$, when such estimates are available,
and on approximation to exponentials of polynomials
Related report :
Complex approximation and interpolation. ps-gz 183K