广义三角多项式的Fejer-Riesz分解

T. Georgiou, A. Lindquist
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引用次数: 1

摘要

单位圆盘上的函数理论证明了统计学、概率论、信号处理文献和应用中的一系列问题的关键,在这方面,三角函数和非负三角多项式的Fejer-Riesz定理占据了一个特殊的位置,该定理表明非负三角多项式可以表示为单位圆上相同次多项式的模。在本笔记中,我们考虑非负三角多项式的自然推广,这些多项式是矩阵值,具有指定的非平凡极点(即,除了在原点或无穷远处)。我们对相应的谱因子感兴趣,具体地说,我们证明了三角多项式的因式分解可以用Fejer-Riesz定理的完全类比来进行。该分解方法与Fejer-Riesz定理的相似之处在于,其光谱因子的程度小于分解理论中的标准结构。我们提供了这一基本定理的两个并列证明,尽管是严格正性的情况下,一个依赖于解析插值理论,另一个利用基于yacubovitch - popov - kalman (YPK)正实数引理的经典分解理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On a Fejer-Riesz factorization of generalized trigonometric polynomials
Function theory on the unit disc proved key to a range of problems in statistics, probability theory, signal processing literature, and applications, and in this, a special place is occupied by trigonometric functions and the Fejer-Riesz theorem that non-negative trigonometric polynomials can be expressed as the modulus of a polynomial of the same degree evaluated on the unit circle. In the present note we consider a natural generalization of non-negative trigonometric polynomials that are matrix-valued with specified non-trivial poles (i.e., other than at the origin or at infinity). We are interested in the corresponding spectral factors and, specifically, we show that the factorization of trigonometric polynomials can be carried out in complete analogy with the Fejer-Riesz theorem. The affinity of the factorization with the Fejer-Riesz theorem and the contrast to classical spectral factorization lies in the fact that the spectral factors have degree smaller than what standard construction in factorization theory would suggest. We provide two juxtaposed proofs of this fundamental theorem, albeit for the case of strict positivity, one that relies on analytic interpolation theory and another that utilizes classical factorization theory based on the Yacubovich-Popov-Kalman (YPK) positive-real lemma.
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