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June 9th, 2015, 02:43 AM  #1 
Newbie Joined: Oct 2014 From: China Posts: 12 Thanks: 2  vector as product of matrices, exp function of vector
A vector (a11x, a22y, a33z) can be expended as: \begin{pmatrix} a_{11}x \\ a_{22}y\\ a_{33}z \end{pmatrix}= \begin{pmatrix} a11 & a12 & a13\\ a21 & a22 & a23\\ a31 & a32 & a33 \end{pmatrix} \begin{pmatrix} 1 & 0 & 0\\ 0& 1 &0\\ 0&0 & 1 \end{pmatrix} \begin{pmatrix} x\\y\\z \end{pmatrix} = \begin{pmatrix} * & * \\ * & * \\ * & * \end{pmatrix} \begin{pmatrix} * & * & *\\ * & * & * \end{pmatrix} \begin{pmatrix} 1 & 0 & 0\\ 0& 1 &0\\ 0&0 & 1 \end{pmatrix} \begin{pmatrix} x\\y\\z \end{pmatrix} but how can I write the following vector as product of matrices: \begin{pmatrix} exp(a_{11})x \\ exp(a_{22})y\\ exp(a_{33})z \end{pmatrix} the annoying exp() prevents me doing any transformation! Maybe the question is: is there a exp() function whose parameter is a vector instead of a single number? 
June 9th, 2015, 06:11 AM  #2 
Math Team Joined: Jan 2015 From: Alabama Posts: 2,653 Thanks: 681 
" means . Is that really what you meant or did you mean ? If it is the former, then you have just the matrix multiplication . If it is the latter, it is a little more complicated. For a diagonal matrix, then . If A is not diagonal, then you will have to try to "diagonalize" it. That is, find a matrix, B, such that where D is a diagonal matrix. In that case , of course, and . (Only matrices that have a "full set of eigenvalues", that is, a basis for the vector space that are eigenvectors for the matrix, can be "diagonalized". For others, you have to use the "Jordan Normal Form" and that gets quite a bit more complicated.) 

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exp, exponencial, function, matrices, matrix, product, vector 
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