2013
DOI: 10.1090/s0002-9947-2013-05874-6
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Verblunsky coefficients and Nehari sequences

Abstract: We are concerned with a rather unfamiliar condition in the theory of the orthogonal polynomials on the unit circle. In general, the Szegö function is determined by its modulus, while the condition in question is that it is also determined by its argument, or in terms of the function theory, that the square of the Szegö function is rigid. In prediction theory, this is known as a spectral characterization of complete nondeterminacy for stationary processes, studied by Bloomfield, Jewel and Hayashi (1983) going b… Show more

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Cited by 10 publications
(14 citation statements)
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“…Since Hu**Hfrakturu*=PMfrakturuQMu*|HscriptV2, by von Neumann's alternating projections, true(Hfrakturu**Hu*true)n converges to the orthogonal projection onto their intersection uKV2HV2 as n. Henceforth, when hLhR is rigid, it follows from uKV2HV2=false{0false} that 0trueI=k=0Tu-0.16emHfrakturu*HukTfrakturu*.In fact, when hLhR is rigid, znuKV2HV2 coincides with the space of scriptV‐valued polynomials with degree less than n for n=0,1,2, and analogous projection formulas can be used for studying MOPUC, as in the authors' earlier work ; see also Inoue–Kasahara–Pourahmadi for applications to prediction problems.…”
Section: Proof and Relevant Resultsmentioning
confidence: 99%
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“…Since Hu**Hfrakturu*=PMfrakturuQMu*|HscriptV2, by von Neumann's alternating projections, true(Hfrakturu**Hu*true)n converges to the orthogonal projection onto their intersection uKV2HV2 as n. Henceforth, when hLhR is rigid, it follows from uKV2HV2=false{0false} that 0trueI=k=0Tu-0.16emHfrakturu*HukTfrakturu*.In fact, when hLhR is rigid, znuKV2HV2 coincides with the space of scriptV‐valued polynomials with degree less than n for n=0,1,2, and analogous projection formulas can be used for studying MOPUC, as in the authors' earlier work ; see also Inoue–Kasahara–Pourahmadi for applications to prediction problems.…”
Section: Proof and Relevant Resultsmentioning
confidence: 99%
“…The following fact (cf. [, Remark 5.2]) will be helpful to understand the argument in the proof of Lemma below. Proposition Assume logfalse(trueprefixdetwfalse)L1.…”
Section: Proof and Relevant Resultsmentioning
confidence: 99%
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