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Mathematics 24 Online
OpenStudy (abdullah1995):

Need help understanding this concept !!! http://prntscr.com/52nnag

OpenStudy (abdullah1995):

@amistre64

OpenStudy (amistre64):

A^(12) eh ... ill be back in an hour gotta go

OpenStudy (abdullah1995):

@ganeshie8

OpenStudy (abdullah1995):

@ParthKohli

ganeshie8 (ganeshie8):

\[A^k = S\Lambda^k S^{-1}\]

ganeshie8 (ganeshie8):

familiar with finding eigen values and eigen vectors ?

OpenStudy (abdullah1995):

yes that is next unit.

OpenStudy (abdullah1995):

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

OpenStudy (abdullah1995):

yes

OpenStudy (abdullah1995):

but the link i posted is before the topic of eignevalue / eigenvector

ganeshie8 (ganeshie8):

start by finding the eigen values and eigen vectors

ganeshie8 (ganeshie8):

we can think about how to use them afterwards

OpenStudy (abdullah1995):

http://prntscr.com/52nwuh

ganeshie8 (ganeshie8):

Oh, i knw only the method using eigen vectors for finding the power of a matrix

ganeshie8 (ganeshie8):

@Zarkon

ganeshie8 (ganeshie8):

the matrix on left is the eigen vector matrix and the right matrix is the inverse of it

OpenStudy (abdullah1995):

hmmm

ganeshie8 (ganeshie8):

if you already know finding eigen vectors and taking inverses, its pretty easy

OpenStudy (abdullah1995):

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 ?

OpenStudy (abdullah1995):

@ganeshie8

ganeshie8 (ganeshie8):

yes, extreme left is the "eigen vector matrix"

ganeshie8 (ganeshie8):

if you solve for eigen values and find eigen vectors, you will get two eigen vectors

ganeshie8 (ganeshie8):

put those two vectors as columns in the matrix S

ganeshie8 (ganeshie8):

thats the left side matrix

ganeshie8 (ganeshie8):

the right most matrix is the inverse of S

ganeshie8 (ganeshie8):

eigen vectors = \(\large \begin{pmatrix}-1\\1\end{pmatrix}\) and \(\large \begin{pmatrix}-2\\1\end{pmatrix}\)

ganeshie8 (ganeshie8):

the eigen vector matrix would be \[\large S = \begin{pmatrix}-1&2\\1&1\end{pmatrix}\]

ganeshie8 (ganeshie8):

fill the diagonal matrix with eigen values :\[\large \Lambda = \begin{pmatrix}2&0\\0&1\end{pmatrix}\]

ganeshie8 (ganeshie8):

take the inverse of S and put it on right side

ganeshie8 (ganeshie8):

\[\large S^{-1} = \begin{pmatrix}1&2\\-1&-1\end{pmatrix}\]

ganeshie8 (ganeshie8):

\[\large \begin{align} A &= \begin{pmatrix}1&2\\-1&-1\end{pmatrix}\\~\\ &=S\Lambda S^{-1}\\~\\ &=\begin{pmatrix}-1&-2\\1&1\end{pmatrix}\begin{pmatrix}2&0\\0&1\end{pmatrix}\begin{pmatrix}1&2\\-1&-1\end{pmatrix} \end{align}\]

ganeshie8 (ganeshie8):

\[\large \begin{align} A^k &=S\Lambda^k S^{-1}\\~\\ &=\begin{pmatrix}-1&-2\\1&1\end{pmatrix}\begin{pmatrix}2^k&0\\0&1^k\end{pmatrix}\begin{pmatrix}1&2\\-1&-1\end{pmatrix} \end{align}\]

OpenStudy (abdullah1995):

ahhhhhhhhh it all makes sense now. Thank you very much for helping me kind sir !

ganeshie8 (ganeshie8):

np :)

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