114 research outputs found
State space formulas for a suboptimal rational Leech problem I: Maximum entropy solution
For the strictly positive case (the suboptimal case) the maximum entropy
solution to the Leech problem and
, with and stable rational
matrix functions, is proved to be a stable rational matrix function. An
explicit state space realization for is given, and turns out
to be strictly less than one. The matrices involved in this realization are
computed from the matrices appearing in a state space realization of the data
functions and . A formula for the entropy of is also given.Comment: 19 page
A band formula for a Toeplitz commutant lifting problem
The band method plays a fundamental role in solving a Toeplitz and Nehari interpolation problem; see \cite{ggk2}. The solution to the Nehari problem involves the inverses of and where is the corresponding Hankel matrix. Here we will derive a similar result for a certain commutant lifing problem. Let be an inner function in and the subspace of defined by where is the Toeplitz operator determined by . Clearly, is an invariant subspace for the backward shift . Consider the \emph{data set} where is a strict contraction mapping into , the operator on is the compression of to , that is, T^\prime = \Pi_{\scriptscriptstyle \mathcal{H}(\Theta)} S_\mathcal{Y}| \mathcal{H}(\Theta) \mbox{ on } \mathcal{H}(\Theta). Here is the orthogonal projection from onto . Moreover, intertwines with , that is, . Given this data set the commutant lifting problem is to find all contractive Toeplitz operators such that \begin{equation}\label{rclt} \Pi_{\scriptscriptstyle \mathcal{H}(\Theta)}T_\Psi =A. \end{equation} This lifting problem includes the Nevanlinna-Pick and Leech interpolation problems. Using two different methods we will show that the set of all solutions are given by \begin{align*} \Psi &= \big(\Upsilon_{12} + \Upsilon_{11} g\big) \big(\Upsilon_{22} + \Upsilon_{21} g\big)^{-1}. \end{align*} Here is a contactive analytic function acting between the appropriate spaces. Analogous to the band formulas in the Nehari interpolation problem, are determined by the inverses of and . The proofs relay on different techniques. Finally, this is joint work with S. ter Horst and M.A. Kaashoek. %\end{abstract} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{thebibliography}{99} \bibitem{FFGK} C. Foias, A.E. Frazho, I. Gohberg, and M. A. Kaashoek, {\em Metric Constrained Interpolation, Commutant Lifting and Systems,} Operator Theory: Advances and Applications, {\bf 100}, Birkh\ {a}user-Verlag, 1998. \bibitem{ggk2} I. Gohberg, S. Goldberg, and M.A. Kaashoek, {\em Classes of Linear Operators}, Vol. II, Operator Theory: Advances and Applications, {\bf 63}, Birkh\ {a}user-Verlag, Basel, 1993. \end{thebibliography
Models for noncommuting operators
AbstractThis paper develops a model theory for a pair of noncommuting operators. Using backward shift operators on a Fock space Rota's Theorem is generalized, i.e., it is shown that any two bounded operators on a Hilbert space are simultaneously similar to part of a pair of backward shift operators on a Fock space. These shift operators and the Fock space framework are also used to develop a dilation theory for two noncommuting operators
State space formulas for stable rational matrix solutions of a Leech problem
Given stable rational matrix functions and , a procedure is presented
to compute a stable rational matrix solution to the Leech problem
associated with and , that is, and . The solution is given in the form of a state space
realization, where the matrices involved in this realization are computed from
state space realizations of the data functions and .Comment: 25 page
State space formulas for a suboptimal rational Leech problem II: Parametrization of all solutions
For the strictly positive case (the suboptimal case), given stable rational
matrix functions and , the set of all solutions to the
Leech problem associated with and , that is, and
, is presented as the range of a linear
fractional representation of which the coefficients are presented in state
space form. The matrices involved in the realizations are computed from state
space realizations of the data functions and . On the one hand the
results are based on the commutant lifting theorem and on the other hand on
stabilizing solutions of algebraic Riccati equations related to spectral
factorizations.Comment: 28 page
All solutions to the relaxed commutant lifting problem
A new description is given of all solutions to the relaxed commutant lifting
problem. The method of proof is also different from earlier ones, and uses only
an operator-valued version of a classical lemma on harmonic majorants.Comment: 15 page
- …