Commuting matrices have common eigenvalues

AI Thread Summary
Commuting matrices A and B share common eigenvalues, which can be proven by showing that if λ is an eigenvalue of A, it must also be an eigenvalue of B. The discussion emphasizes the importance of starting with the definition of commuting matrices, where AB = BA, and the implications for eigenvalues. It highlights that the determinant equations det(A - λI) = 0 and det(B - λI) = 0 must hold true for common eigenvalues. Participants express confusion about how to manipulate the equations to demonstrate this property effectively. Ultimately, the focus is on leveraging the relationship between eigenvalues and the commuting property of the matrices.
Grand
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Homework Statement


How do we prove that commuting matrices have common eigenvalues?


Homework Equations





The Attempt at a Solution

 
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Grand said:

Homework Statement


How do we prove that commuting matrices have common eigenvalues?
Start by writing some mathematics, using the definition of commuting matrices and what it means for \lambda to be an eigenvalue of a matrix.
 
OK, I've benn trying this for some time now, but:

common eigenvalues means that:
det(A-\lambda I)=det(B-\lambda I)=0

and we have to prove that AB=BA
 
You have it backwards. You are given that A and B commute, and need to show that any eigenvalue of A is also an eigenvalue of B.
 
OK, I agree. But where do I start. I tried to add expressions to both sides of AB=BA:

AB=BA/\lambda
\lambda AB=\lambda BA/-B
(\lambda A-A)B=\lambda BA-B

but I'm not really going anywhere
 
Grand said:
OK, I agree. But where do I start. I tried to add expressions to both sides of AB=BA:

AB=BA/\lambda
\lambda AB=\lambda BA/-B
What do the equations above mean?
Grand said:
(\lambda A-A)B=\lambda BA-B

but I'm not really going anywhere
If \lambda is an eigenvalue for a matrix A, then for some nonzero vector x,
Ax = \lambdax.
 
So how do we use this?
 
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