Google Answers Logo
View Question
 
Q: Unique singular value decomposition of a 3x3 matrix ( No Answer,   0 Comments )
Question  
Subject: Unique singular value decomposition of a 3x3 matrix
Category: Science > Math
Asked by: jp54-ga
List Price: $50.00
Posted: 02 Dec 2005 15:24 PST
Expires: 03 Dec 2005 01:19 PST
Question ID: 600695
prove or refute (in either case I'll credit you if I use it)
\begin{prop}
Given a $3\times3$ real matrix $\bf A$ with singular values
$\{1,\sigma^2,0\}$, there exist a unique factorization
\[
    {\bf A} = {\bf R}_u \,\, \text{diag}(1, \pm\sigma^2, 0) \,\, {\bf R}_v^t
\]
where 
\[
{\bf R}_u=({\bf I}-{\bf T}_u)({\bf I}+{\bf T}_u)^{-1}
\quad
{\bf R}_v=({\bf I}-{\bf T}_v)({\bf I}+{\bf T}_v)^{-1}
\]
and ${\bf T}_u$ and ${\bf T}_v$ are skew-symmetric matrices. 
\end{prop}

A general $3\times3$ skew-symmetric matrix $\bf T$ is the
cross-product matrix defined as
\[
    {\bf T}= 
    \left(\begin{matrix}
    0 & -t_z & t_y \\
    t_z & 0 & t_x \\
    -t_y & -t_x & 0
    \end{matrix}\right)
\]

% Hint: accordind to SVD a factorization does exit. But SVD is not unique
Answer  
There is no answer at this time.

Comments  
There are no comments at this time.

Important Disclaimer: Answers and comments provided on Google Answers are general information, and are not intended to substitute for informed professional medical, psychiatric, psychological, tax, legal, investment, accounting, or other professional advice. Google does not endorse, and expressly disclaims liability for any product, manufacturer, distributor, service or service provider mentioned or any opinion expressed in answers or comments. Please read carefully the Google Answers Terms of Service.

If you feel that you have found inappropriate content, please let us know by emailing us at answers-support@google.com with the question ID listed above. Thank you.
Search Google Answers for
Google Answers  


Google Home - Answers FAQ - Terms of Service - Privacy Policy