Eigenvalue of matrix proof by induction

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SUMMARY

The discussion focuses on proving that if ##\alpha## is an eigenvalue of matrix ##B##, then ##\alpha^{n}## is an eigenvalue of matrix ##B^{n}## for positive integers ##n##. The proof employs mathematical induction, starting with the base case for ##n = 1##, where ##B\vec x = \alpha \vec x## holds true. The induction hypothesis is established for ##n = m##, leading to the conclusion that the statement is valid for ##n = m + 1##. Participants emphasize the importance of clearly stating the induction hypothesis and suggest using weak induction for conciseness.

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TanWu
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Homework Statement
Show that if ##\alpha## is an eigenvalue of matrix ##B## then ##\alpha^{n}## is an eigenvalue of matrix ##B^{n}## for positive integer ##n##
Relevant Equations
##\alpha## is eigenvalue
##B\vec x = \alpha \vec x##
We consider base case (##n = 1##), ##B\vec x = \alpha \vec x##, this is true, so base case holds.

Now consider case ##n = 2##, then ##B^2\vec x = B(B\vec x) = B(\alpha \vec x) = \alpha(B\vec x) = \alpha(\alpha \vec x) = \alpha^2 \vec x##

Now consider ##n = m## case,

##B^m\vec x = B(B^{m - 1} \alpha) = B^m \alpha = \alpha^m \vec x##

Now consider ##n = m + 1## case,
##B^{m + 1}\alpha = B(B^m \alpha) = B(\alpha^m \vec x) = \alpha^m(B\vec x) = \alpha^k(\alpha \vec x) = \alpha^{m + 1}\vec x##

Is that correct use of induction?
gratitude expressed to those who help.
 
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You can formulate more precisely. Instead of saying "consider ##n=m## case", we can say "assume that ## B^nx = \alpha ^nx ## for some ##n\geqslant 2##". Then for the case ##n+1## we have the equalities
<br /> B^{n+1}x = BB^nx = B\alpha ^nx = \alpha ^nBx = \alpha ^n\alpha x = \alpha ^{n+1}x.<br />
Right now you haven't made it explicit what your induction assumption is. Anyone familiar with the technique is able to fill in the gaps.
 
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TanWu said:
Homework Statement: Show that if ##\alpha## is an eigenvalue of matrix ##B## then ##\alpha^{n}## is an eigenvalue of matrix ##B^{n}## for positive integer ##n##
Relevant Equations: $\alpha$ is eigenvalue
##B\vec x = \alpha \vec x##

We consider base case (##n = 1##), ##B\vec x = \alpha \vec x##, this is true, so base case holds.

Now consider case ##n = 2##, then ##B^2\vec x = B(B\vec x) = B(\alpha \vec x) = \alpha(B\vec x) = \alpha(\alpha \vec x) = \alpha^2 \vec x##
You shouldn't need to show it for ##n=2##. After the base case, state the induction hypothesis:
$$B^m\vec x = \alpha^m \vec x$$
is true for some integer ##m>1##.

Apply the induction hypothesis to show its true for ##m+1##, as you have done so. Then you can conclude it's true for all integers.
 
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It is not wrong to check the claim up to ##m## manually. Sometimes that's even helpful. The induction hypothesis then is that the claim is true
  1. for some ##n\geqslant m## (weak induction);
  2. for all ##k\leqslant n##, where ##n\geqslant m## (strong induction).
In both cases the task is to prove the claim is true for ##n+1##. It doesn't matter which form of induction we use, they are equivalent.
 
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Sounds good, though I feel it's more concise/elegant to use weak induction here. But just to clarify, the claim being true for ##n+1##, or proving the claim is true for ##n+1##, is not any part of the induction hypothesis. Rather, it's the consequence that would follow if the induction hypothesis is true.
 
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Fair play on your last point. As for the first one, optimisation can be done later. First and foremost, it is important the argument is correct.
 
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@PeroK I have a nagging feeling that my statement in #5 about the induction hypothesis is not correct. If you have a moment, can you please point out what's wrong about it? Thank you.
 
docnet said:
But just to clarify, the claim being true for n+1, or proving the claim is true for n+1, is not any part of the induction hypothesis.
Right. The induction hypothesis in this case is assuming that ##B^m\vec x = a^m\vec x## is true. Using this hypothesis, you show that it follows that ##B^{m+1}\vec x = a^{m+1}\vec x## must also be true. Of course you need to also establish that some base case is true.
 
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