On a new kind of Ansatz Spaces for Matrix Polynomials
For researchers in numerical linear algebra, this provides a unified framework for constructing linearizations of matrix polynomials, but the contribution is incremental as it generalizes existing constructions.
This paper introduces a new family of ansatz spaces for matrix polynomials that yield strong linearizations for both regular and singular polynomials, covering all block-Kronecker and Fiedler pencils. The authors prove that intersections of these spaces are non-empty and construct blocksymmetric subspaces where almost every pencil is a strong linearization.
In this paper, we introduce a new family of equations for matrix pencils that may be utilized for the construction of strong linearizations for any square or rectangluar matrix polynomial. We provide a comprehensive characterization of the resulting vector spaces and show that almost every matrix pencil therein is a strong lineariza- tion regardless whether the matrix polynomial under consideration is regular or sin- gular. These novel "ansatz spaces" cover all block-Kronecker pencils as a subset and therefore contain all Fiedler pencils modulo permutations. The important case of square matrix polynomials is examined in greater depth. We prove that the intersection of any number of block-Kronecker ansatz spaces is never empty and construct large subspaces of blocksymmetric matrix pencils among which still almost every pencil is a strong linearization. Moreover, we show that the original ansatz spaces L1 and L2 may essentially be recovered from block-Kronecker ansatz spaces via pre- and postmultiplication, respectively, of certain constant matrices.