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

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The discussion revolves around the importance of the order of vectors in the context of matrix diagonalization, specifically for a given matrix A. The original poster is attempting to diagonalize matrix A and is questioning the implications of the order in which eigenvectors are arranged in the matrix P.

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  • Exploratory, Assumption checking

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  • The original poster calculates eigenvalues and forms a matrix P from the union of bases for the eigenspaces, but questions the correctness of their resulting diagonal matrix D. Some participants suggest that the order of eigenvectors affects the diagonal matrix and propose that a permutation of the basis could yield the expected result.

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Benny
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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.

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


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

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 [tex]P = \left[ {\begin{array}{*{20}c}<br /> 2 & 1 \\<br /> 5 & 3 \\<br /> \end{array}} \right] \Rightarrow P^{ - 1} = \left[ {\begin{array}{*{20}c}<br /> 3 & { - 1} \\<br /> { - 5} & 2 \\<br /> \end{array}} \right][/tex] 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 [tex]D = \left[ {\begin{array}{*{20}c}<br /> 2 & 0 \\<br /> 0 & 1 \\<br /> \end{array}} \right][/tex].

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

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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