Skip to main content

All Questions

Filter by
Sorted by
Tagged with
2 votes
1 answer
476 views

$\lambda_{\min}$ and $\lambda_{\max}$ of rank-1 sum of matrices

It is explained from previous posts1,2 that for a rank-$1$ matrix $x_ix_i^T$ we have $\lambda_{\max} (x_ix_i^T)=1$ and $\lambda_{\min} (x_ix_i^T)=0$ with single and $N-1$ algebraic multiplicity, ...
darkmoor's user avatar
  • 823
4 votes
3 answers
5k views

Rank one orthogonal projector matrix.

My text is covering projector matrices while building up to Householder triangularization. The main topic of discussion is orthogonal projector matrices that satisfy \begin{align} P &= P^2 \...
Zduff's user avatar
  • 4,360
1 vote
1 answer
2k views

Finding eigenvectors of a rank one projection matrix

From the unit vector $$u=\left(\frac{1}{6},\frac{1}{6},\frac{3}6,\frac{5}6\right)$$ construct the rank one projection matrix $$P=uu^t.$$ a) Show that if $P=uu^t$ , then $u$ is an eigenvector with $\...
John's user avatar
  • 39