Is the order in which vectors are taken important in matrix diagonalisation?

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The order of eigenvectors in matrix diagonalization is significant, as it determines the arrangement of eigenvalues in the resulting diagonal matrix. When constructing matrix P from the eigenvectors, the sequence in which these vectors are placed affects the final diagonal matrix D. A permutation of the eigenvectors can lead to different diagonal forms, but the underlying properties remain unchanged. The discussion emphasizes that altering the order of eigenvectors in matrix P can yield the desired diagonalization. Thus, careful attention to the order of vectors is crucial in achieving the correct diagonal form.
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Hi I'm wondering if the 'order' in which vectors are taken is important in the process of matrix diagonalisation. To clarify what I mean here is an example.

<br /> A = \left[ {\begin{array}{*{20}c}<br /> 7 &amp; { - 2} \\<br /> {15} &amp; { - 4} \\<br /> \end{array}} \right]<br />


I need to diagonalise matrix A. So I need a matrix D such that D = P^{ - 1} AP.

I calculate the eigenvalues for A, and got bases for the eigenspace associated with each of the eigenvalues. Following the procedure in my book I took the union of the two(it turned out that there are two bases) bases which I found to be: {(2,5),(1,3)}.

So P = \left[ {\begin{array}{*{20}c}<br /> 2 &amp; 1 \\<br /> 5 &amp; 3 \\<br /> \end{array}} \right] \Rightarrow P^{ - 1} = \left[ {\begin{array}{*{20}c}<br /> 3 &amp; { - 1} \\<br /> { - 5} &amp; 2 \\<br /> \end{array}} \right] where I have formed the matrix P whose columns are the vectors in the set which is the union of the two bases for the eigenspaces.

My calculations yield D = \left[ {\begin{array}{*{20}c}<br /> 2 &amp; 0 \\<br /> 0 &amp; 1 \\<br /> \end{array}} \right].

The answer is D = \left[ {\begin{array}{*{20}c}<br /> 1 &amp; 0 \\<br /> 0 &amp; 2 \\<br /> \end{array}} \right].

I'm not sure where my error is. I've checked the matrix multiplication for D and also PP^-1 = I.
 
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there is no canonical diagonal form. if the basis of e-vectors is u,v for you, then in the book they've simply got v,u in the reverse order.

they differ by a poermutaion of the basis (try multiplying yours by the matrix with 1's on the off diagonal places and zero on the diagonals (a self inverse symmetric matrix)
 
The eigenvalues appear in the diagonal matrix in the same order as the corresponding eigenvectors in the columns the P-matrix.
 
Thanks for the help matt grime and TD.
 
PLEASE CHANGE THE ORDER.TAKE
p=
1 2
3 5
you'll get the desired answer within a moment.This change doesn't alter the physical meaning,but the form only.
 
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