Need help understanding this concept !!! http://prntscr.com/52nnag
@amistre64
A^(12) eh ... ill be back in an hour gotta go
@ganeshie8
@ParthKohli
\[A^k = S\Lambda^k S^{-1}\]
familiar with finding eigen values and eigen vectors ?
yes that is next unit.
what i dont understand from the link i posted above is that what is the role of the matrix A in computing the A^12
yes
but the link i posted is before the topic of eignevalue / eigenvector
start by finding the eigen values and eigen vectors
we can think about how to use them afterwards
Oh, i knw only the method using eigen vectors for finding the power of a matrix
@Zarkon
the matrix on left is the eigen vector matrix and the right matrix is the inverse of it
hmmm
if you already know finding eigen vectors and taking inverses, its pretty easy
here is an example http://math.stackexchange.com/questions/597602/finding-a-2x2-matrix-raised-to-the-power-of-1000
ok so i understand from the picture i posted that the extreme left matrix is the eigenvector of A and the extreme right is the inverse of the eigenvector ?
@ganeshie8
yes, extreme left is the "eigen vector matrix"
if you solve for eigen values and find eigen vectors, you will get two eigen vectors
put those two vectors as columns in the matrix S
thats the left side matrix
the right most matrix is the inverse of S
http://www.wolframalpha.com/input/?i=eigen+vectors+%7B%7B0%2C-2%7D%2C%7B1%2C3%7D%7D
eigen vectors = \(\large \begin{pmatrix}-1\\1\end{pmatrix}\) and \(\large \begin{pmatrix}-2\\1\end{pmatrix}\)
the eigen vector matrix would be \[\large S = \begin{pmatrix}-1&2\\1&1\end{pmatrix}\]
fill the diagonal matrix with eigen values :\[\large \Lambda = \begin{pmatrix}2&0\\0&1\end{pmatrix}\]
take the inverse of S and put it on right side
\[\large S^{-1} = \begin{pmatrix}1&2\\-1&-1\end{pmatrix}\]
\[\large \begin{align} A &= \begin{pmatrix}1&2\\-1&-1\end{pmatrix}\\~\\ &=S\Lambda S^{-1}\\~\\ &=\begin{pmatrix}-1&-2\\1&1\end{pmatrix}\begin{pmatrix}2&0\\0&1\end{pmatrix}\begin{pmatrix}1&2\\-1&-1\end{pmatrix} \end{align}\]
\[\large \begin{align} A^k &=S\Lambda^k S^{-1}\\~\\ &=\begin{pmatrix}-1&-2\\1&1\end{pmatrix}\begin{pmatrix}2^k&0\\0&1^k\end{pmatrix}\begin{pmatrix}1&2\\-1&-1\end{pmatrix} \end{align}\]
ahhhhhhhhh it all makes sense now. Thank you very much for helping me kind sir !
np :)
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