Abstract
Writing the form associated with a positive matrix as a sum of positive squares, there appears a sequence of complex numbers determining the given matrix. In a certain sense, these calculations are equivalent to the classical algorithm of I.Schur [24] which associates a similar sequence of parameters to an analytic contractive function on the unit disc (such sort of parameters are known as Schur-Szegö parameters). The formalism using these Schur-Szegö parameters (we call it Schur analysis) can be extended to a general framework (operators on Hilbert spaces — see [5], where the operatorial version of the Schur-Szegö parameters is called choice sequence) and can be used to solve some extension problems (as Carathéodory-Fejér problem, Nehari problem and so on — see [1], [5]) and to describe the Kolmogorov decomposition of positive-definite kernels on the set of integers — see [13].
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Constantinescu, T. (1986). Schur Analysis for Matrices with a Finite Number of Negative Squares. In: Douglas, R.G., Pearcy, C.M., Sz.-Nagy, B., Vasilescu, FH., Voiculescu, D., Arsene, G. (eds) Advances in Invariant Subspaces and Other Results of Operator Theory. Operator Theory: Advances and Applications, vol 17. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-7698-8_7
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