Finding eigenvalues with the power series method

AI Thread Summary
The discussion focuses on using the power method to find the dominant eigenvalues of the given matrix. The user starts with an initial vector V0 = [1;1;1] and calculates u1 by multiplying the matrix A with V0, resulting in u1 = [1;-1;1]. There is confusion regarding the normalization step, specifically whether to divide by the largest magnitude component of u1 or the overall magnitude of the vector. The user is uncertain if they should use -1 or 1 for normalization. Clarification is needed on the correct approach to normalize u1 to proceed with the power method.
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Homework Statement


Consider the matrix [1,-5,5;-3,-1,3;1,-2,2]
Do four interations of the power method, beginning at [1,1,1] to approximate the dominant eigenvalues of A


Homework Equations


Matrix multiplication


The Attempt at a Solution



Okay my issue with this problem is this
I set V0 = [1;1;1],
Now I go to calculate u1
u1 = A*V0 = [1,-5,5;-3,-1,3;1,-2,2]*[1;1;1]=[1;-1;1], V1 = u1 / (?) and what value should i divide it by, which one has the largest magnitude, would it be -1, because I know that is unique, otherwise, is it 1?
Because I've tried both ways and I am not sure which way to go on this.
 
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You divide by the magnitude (i.e. length) of u1, or |u1|.
 
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