The complete positivity of symmetric tridiagonal and pentadiagonal matrices

IF 0.8 Q2 MATHEMATICS Special Matrices Pub Date : 2020-09-10 DOI:10.1515/spma-2022-0173
Lei Cao, Darian Mclaren, S. Plosker
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Abstract

Abstract We provide a decomposition that is sufficient in showing when a symmetric tridiagonal matrix A A is completely positive. Our decomposition can be applied to a wide range of matrices. We give alternate proofs for a number of related results found in the literature in a simple, straightforward manner. We show that the cp-rank of any completely positive irreducible tridiagonal doubly stochastic matrix is equal to its rank. We then consider symmetric pentadiagonal matrices, proving some analogous results and providing two different decompositions sufficient for complete positivity. We illustrate our constructions with a number of examples.
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对称三对角和五对角矩阵的完全正性
摘要给出了一个足以证明对称三对角矩阵a a是完全正的分解。我们的分解可以应用于广泛的矩阵。我们以一种简单、直接的方式为文献中发现的一些相关结果提供了替代证明。证明了任何完全正的不可约三对角双随机矩阵的cp-秩等于它的秩。然后,我们考虑对称五对角矩阵,证明了一些类似的结果,并提供了两种不同的分解,足以证明完全正性。我们用一些例子来说明我们的结构。
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来源期刊
Special Matrices
Special Matrices MATHEMATICS-
CiteScore
1.10
自引率
20.00%
发文量
14
审稿时长
8 weeks
期刊介绍: Special Matrices publishes original articles of wide significance and originality in all areas of research involving structured matrices present in various branches of pure and applied mathematics and their noteworthy applications in physics, engineering, and other sciences. Special Matrices provides a hub for all researchers working across structured matrices to present their discoveries, and to be a forum for the discussion of the important issues in this vibrant area of matrix theory. Special Matrices brings together in one place major contributions to structured matrices and their applications. All the manuscripts are considered by originality, scientific importance and interest to a general mathematical audience. The journal also provides secure archiving by De Gruyter and the independent archiving service Portico.
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