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.
<br /> A = \left[ {\begin{array}{*{20}c}<br /> 7 & { - 2} \\<br /> {15} & { - 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 & 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] 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 & 0 \\<br /> 0 & 1 \\<br /> \end{array}} \right].
The answer is D = \left[ {\begin{array}{*{20}c}<br /> 1 & 0 \\<br /> 0 & 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.
<br /> A = \left[ {\begin{array}{*{20}c}<br /> 7 & { - 2} \\<br /> {15} & { - 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 & 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] 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 & 0 \\<br /> 0 & 1 \\<br /> \end{array}} \right].
The answer is D = \left[ {\begin{array}{*{20}c}<br /> 1 & 0 \\<br /> 0 & 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.