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#### Keywords

self-interlacing polynomials, totally nonnegative matrices, tridiagonal matrices, anti-bidiagonal matrices, oscillatory matrices

#### Abstract

An $n\times n$ matrix is said to have a self-interlacing spectrum if its eigenvalues $\lambda_k$, $k=1,\ldots,n$, are distributed as follows: $$ \lambda_1>-\lambda_2>\lambda_3>\cdots>(-1)^{n-1}\lambda_n>0. $$ A method for constructing sign definite matrices with self-interlacing spectrum from totally nonnegative ones is presented. This method is applied to bidiagonal and tridiagonal matrices. In particular, a result by O. Holtz on the spectrum of real symmetric anti-bidiagonal matrices with positive nonzero entries is generalized.

#### Recommended Citation

Tyaglov, Mikhail.
(2017),
"Self-interlacing polynomials II: Matrices with self-interlacing spectrum",
*Electronic Journal of Linear Algebra*,
Volume 32, pp. 51-57.

DOI: http://dx.doi.org/10.13001/1081-3810.3453

*Abstract*