Finding A to the power of n without using eigenvalues

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SUMMARY

The discussion revolves around calculating A^5 * u for a given 3x3 matrix A = [4 -2 2; 2 4 -4; 1 1 0] and vector u = [1 3 2], without using eigenvalues. The user successfully verified that Au = 2u, which indicates that u is an eigenvector corresponding to the eigenvalue 2. The key insight provided is that A^n * u can be computed using the relationship A^n * u = 2^n * u, allowing for the calculation of A^5 * u as 2^5 * u = 32 * u.

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dlevanchuk
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Oh it gives me headache... been thinking on this problem for a while, and don't even know where to begin! Could anyone give me a hint at least?? :(

Problem:
Let A be (3x3) matrix : [ 4 -2 2; 2 4 -4; 1 1 0] and u (vector) = [1 3 2].
a) Verify that Au = 2u
I got this one without a problem.

b) Without forming A^5, calculate the vector A^5*u.
This is where I get stuck.. I've tried to search, but keep coming up with some equations that involve eigenvalues (which I haven't studied yet..). So, I am assuming that i don't have to use any of eigenvalues.. Is there any other way?
I tried to replace A matrix with [a b c; d...] values, and take first 3 powers of that, but its way too hard to keep track of everything..

So, any hint?? :(
 
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You know that Au = 2u.

Now what is A2u = A (A u)?

Note that numbers commute with matrices, so for example A(2u) = 2(Au).

Actually you are using eigenvalues here: when Av = c v for some (non-trivial) vector v and some number c, then we say that v is an eigenvector for the matrix A, with corresponding eigenvalue c.[/size]
 
Oh man! Thats simple! Didn't even think about relating problem a with problem b! :rolleyes: Thanks a ton! :biggrin:
 

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