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I can't figure out if this is true:

Suppose $A^T=-A$ and that the symmetric matrix $AA^T$ is a positive definite (so diagonalizable, lets say $AA^T=O\Lambda O^T$, with all eigenvalues positive). Therefore, we can define a square root by

$\sqrt{AA^T}=O\sqrt{\Lambda}O^T,$

where $\sqrt{\Lambda}=\textrm{diag}(\sqrt{\lambda_1},\ldots\sqrt{\lambda_n})$, $\lambda_i$ eigenvalues of $AA^T$. One can see that $A$ commutes with $AA^T$, once $A^T=-A$. But I can't see if it is true that:

$A\sqrt{AA^T}=\sqrt{AA^T}A$

In other words, does $A$ commute with $AA^T$ implies $A$ commutes with $\sqrt{AA^T}$?

Any help will be appreciated.

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    @Abdelmajid: Since $AA^T$ is symmetric, $O$ can be chosen orthogonal, and then $O^{-1}=O^T$. It's quite usual to make use of that; the columns of $O$ can then be viewed as an orthonormal system of eigenvectors for $AA^T$.2012-04-20

2 Answers 2

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In more generality, if $B$ is positive semidefinite and $AB=BA$, then $A\sqrt B=\sqrt B\,A$. The key observation is that there exists a polynomial $p\in\mathbb{R}[x]$ such that $\sqrt B=p(B)$. Then we have $ AB^2=(AB)B=(BA)B=B(AB)=B(BA)=B^2A; $ similarly we deduce that $AB^n=B^nA$ for any $n\in\mathbb{N}$, and so $Ap(B)=p(B)A$ for any polynomial.

The existence of the required polynomial is shown as follows: as $B$ is positive semidefinite, it is diagonalizable, so $B=SDS^{-1}$ with $D$ diagonal. Now choose a polynomial $p$ such that $p(d_{jj})=\sqrt{d_{jj}}$. Then $ \sqrt{B}=S\sqrt{D}S^{-1}=Sp(D)S^{-1}=p(SDS^{-1})=p(B). $

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    @chessmath: you have $n$ points $d_{11},\ldots,d_{nn}$ and you want a polynomial with prescribed values at those points. The canonical way of doing it is Lagrange Polynomial: http://en.wikipedia.org/wiki/Lagrange_polynomial2012-05-13
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$AA^T$ and $\sqrt{AA^T}$ are diagonalized by the same matrix $O$, and they have the same pattern of equal or distinct eigenvalues. We can also form $O^TAO$, which commutes with $O^TAA^TO=\Lambda$. The matrices that commute with a given diagonal matrix $\Lambda$ are all matrices that have non-zero entries $a_{ij}$ only where $\lambda_i=\lambda_j$. Since this condition is the same for $\Lambda$ and $\sqrt\Lambda$, the same matrices commute with $\Lambda$ and $\sqrt\Lambda$. Since $O^TAO$ commutes with $\Lambda$, it also commutes with $\sqrt\Lambda$, and thus $A$ commutes with $O\sqrt\Lambda O^T=\sqrt{AA^T}$.

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    @matgaio: You're welcome. But Martin's is also good, a bit more abstract but also more general, and it's useful to be familiar with that sort of approach to matrices, too.2012-04-20