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 Post subject: diagonal matrix
PostPosted: Mon, 17 Nov 2008 22:19:45 UTC 
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Joined: Tue, 7 Oct 2008 19:58:13 UTC
Posts: 30
Hello.

We consider the matrix M=\left(
    \begin{array}{cccc}
      a^2 & ab & ab & b^2\\
      ab & a^2 & b^2 & ab \\
ab & b^2 & a^2 & ab \\
b^2 & ab & ab & a^2 \\
    \end{array}
  \right) with a,b \in \mathbb{R}

I have to find a matrix P orthogonal and symmetric such P^{-1} M P is diagonal.

I know that M is a symmetric matrix whose entries are real so M can be diagonalized by an orthogonal matrix.

I have shown that the eigenvalues of M are (a+b)² , (a-b)² and a²-b² and Q=  \left(
    \begin{array}{cccc}
      1 & 1 & 0 & 1\\
      1 & -1 & 1 & 0 \\
1 & -1 & -1 & 0 \\
1 & 1 & 0 & -1 \\
    \end{array}
  \right) is a matrix such
Q^{-1} M Q=\left(
    \begin{array}{cccc}
      (a+b)^2 & 0 & 0 & 0\\
      0 & (a-b)^2 & 0 & 0 \\
0 & 0 & a^2-b^2 & 0 \\
0 & 0 & 0 & a^2-b^2 \\
    \end{array}
  \right)
But the problem is that Q is not symmetric ...

Thanks for any help. :roll:


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PostPosted: Tue, 18 Nov 2008 00:04:35 UTC 
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Joined: Mon, 23 Jun 2003 17:34:53 UTC
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Location: San Antonio,Texas USA
Have you tried the symmetric part of Q?

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 Post subject:
PostPosted: Tue, 18 Nov 2008 21:18:13 UTC 
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Joined: Sat, 7 Jan 2006 18:29:24 UTC
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The first two columns of Q are determined (at least up to a scalar multiple), because the corresponding eigenvalues have multiplicity 1. Therefore if Q is going to be symmetric the top two rows are also determined, and Q should look like \begin{bmatrix}1&1&1&1\\ 1&-1&-1&1\\ 1&-1&*&*\\ 1&1&*&*\end{bmatrix}. Now you just have to fill in the *s so that the other two columns are eigenvectors for the repeated eigenvalue a²-b². (Also, you'll then need to divide Q by 2 to make it orthogonal.)


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