Computing eigenvector corresponding to dominant eigenvector.

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My question is, why does the eigenvector have to be a unit vector?

Please see the code below, every time the eigenvector is gained after normalization, which I don't understand.enter image description here

Thank you

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An eigenvector doesn't have to be a unit vector. But in an iterative process such as this, if you don't normalize it you're likely to have your vector either converge to $0$ or "blow up" with norm going to $\infty$, both of which are bad.