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The study of the properties of real and complex matrices that are more close to analysis and operator theory. For instance: the properties of positive definite matrices, matrix inequalities, perturbation analysis, matrix functions, inequalities between eigenvectors and singular values, majorization.

1 vote

Norm bound on eigen-vector change caused by rank-one update

A tiny change can result in a shift of the dominant eigenvalue's eigenspace to something that is completely orthogonal to the dominant eigenvalue's eigenspace of $A$. For example, let $A=I-\epsil …
Brian Borchers's user avatar
1 vote

positive semidefiniteness: a psd matrix substracted by another rank 1 psd matrix

This is easy to formulate as a semidefinite programming problem. First, let $X=xx^{T}$. The semidefiniteness constraint becomes $A-\lambda X \succeq 0$ Next, use a standard technique to handle t …
Brian Borchers's user avatar
7 votes
Accepted

Explicit formula for Cholesky factorization in a special case

The matrix $\alpha J$ is a rank one matrix, so there are simple update/downdate formulas for computing the Choleksy factorization of $Q+sI-\alpha J$ if you start with the factorization of $Q+sI$. I …
Brian Borchers's user avatar