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Generalizing the Eigenvalue Interlacing Theorem to Pseudo-Similarity Transformations

Julio Guillen-Garcia, Manuel F. Fernández, Roberto Gallardo-Cava

Abstract

The current general form of the well-known Eigenvalue Interlacing Theorem states that, given an $N \times N$ Hermitian matrix $P$, the eigenvalues of the matrix product $Q^{H} P Q$ will interlace those of $P$ if the columns of the $N \times L$ matrix $Q$ (with $L \le N$) are unitary. This note further generalizes this theorem to include pseudo-similarity transformations, namely products of the form $H^{\dagger} P H$, where $H$ is a general $N \times K$ matrix and "$\dagger$" denotes the Moore-Penrose pseudoinverse. This implies that, while the product $Q^{H} P Q$ is Hermitian and is generally a deflated version of $P$ (both in dimensionality and in the number of non-zero eigenvalues), this is not the case for $H^{\dagger} P H$, which, although generally a deflated version of $P$ in terms of the number of non-zero eigenvalues, will not necessarily be so in dimensionality, nor will it in general be Hermitian. Thus, this note not only generalizes the Eigenvalue Interlacing Theorem but also shows that eigenvalue interlacing may occur between Hermitian and non-Hermitian matrices and even in the presence of dimensionally inflated matrices.

Generalizing the Eigenvalue Interlacing Theorem to Pseudo-Similarity Transformations

Abstract

The current general form of the well-known Eigenvalue Interlacing Theorem states that, given an Hermitian matrix , the eigenvalues of the matrix product will interlace those of if the columns of the matrix (with ) are unitary. This note further generalizes this theorem to include pseudo-similarity transformations, namely products of the form , where is a general matrix and "" denotes the Moore-Penrose pseudoinverse. This implies that, while the product is Hermitian and is generally a deflated version of (both in dimensionality and in the number of non-zero eigenvalues), this is not the case for , which, although generally a deflated version of in terms of the number of non-zero eigenvalues, will not necessarily be so in dimensionality, nor will it in general be Hermitian. Thus, this note not only generalizes the Eigenvalue Interlacing Theorem but also shows that eigenvalue interlacing may occur between Hermitian and non-Hermitian matrices and even in the presence of dimensionally inflated matrices.

Paper Structure

This paper contains 3 sections, 1 theorem, 12 equations.

Key Result

Theorem 1

Given an $N \times N$ Hermitian matrix $P$ and a general $N \times K$ matrix $H$ of rank $L$, both in $\mathbb{C}$, the $L$ eigenvalues of the $K \times K$ matrix $T$ resulting from the pseudo-similarity transformation $T = H^{\dagger} P H$ will interlace those of $P$.

Theorems & Definitions (2)

  • Theorem : "Eigenvalue interlacing under pseudo-similarity transformations"
  • proof