Linear Algebra : prove geometric multiplicities are the same

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SUMMARY

In the discussion, participants prove that similar matrices A and B have the same geometric multiplicities for their eigenvalues. The proof utilizes the relationship B = P^-1AP, demonstrating that every eigenvector of B corresponds to an eigenvector of A through the transformation P^-1. Key properties of similar matrices, including the same characteristic polynomial, are also highlighted, emphasizing that while these properties confirm eigenvalues and algebraic multiplicities, they do not directly address geometric multiplicities.

PREREQUISITES
  • Understanding of eigenvalues and eigenvectors
  • Familiarity with the concept of similar matrices
  • Knowledge of characteristic polynomials
  • Basic linear algebra concepts, including matrix operations
NEXT STEPS
  • Study the proof of the relationship between eigenvectors of similar matrices
  • Learn about the implications of geometric versus algebraic multiplicity
  • Explore the properties of invertible matrices in linear transformations
  • Investigate applications of similar matrices in diagonalization
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Students and professionals in mathematics, particularly those studying linear algebra, matrix theory, and eigenvalue problems. This discussion is beneficial for anyone looking to deepen their understanding of matrix similarity and eigenvalue properties.

braindead101
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Let A and B be similar matrices. Prove that the geometric multiplicities of the eigenvalues of A and B are the same.

Some help I have gotten so far but still don't know how to proceed from there:
To prove that the geometric multiplicities of the eigenvalues of A and B are the same, we can show that, if B = P^-1 AP , then every eigenvector of B is of the form P^-1 v for some eigenvector v of A.

And i also know that for A and B to be similar matrices, these 5 properties must hold.
1. det A = det B
2. A and B have the same rank
3. A and B have the same characteristic polynomial
4. A and B have the same eigenvalues
5. A is invertible iff B is invertible

any help would be greatly appreciated
 
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The "geometric multiplicity" of an eigenvalue is the dimension of the "eigenspace" (subspace of all eigenvectors) for that eigenvalue.

Now, are you saying that you can use the fact that "if B = P^-1 AP , then every eigenvector of B is of the form P^-1 v for some eigenvector v of A" or do you have to prove that (it's very easy)? If you can use that, then there is an obvious one-to-one correspondence. In particular, you can show that If {v_1, v_2, ..., v_n} is a basis for the eigenspace of A, corresponding to eigenvalue \lambda, then P^{-1}v_1, P^{-1}v_2, ..., P^{-1}v_n} is a basis for the eigenspace of B, corresponding to that same eigenvalue.
 
To show that I think it might be sufficient to show that these two matrices (since they're similar) have the same characteristic polynomial. So...

There's an invertible matrix P such that
A= ((P^-1) B P)


det(A-tI)
det([P^-1 BP]-tI)
det([P^-1 BP]-[P^-1tI P])
det([P^-1(B-tI) P])
det(P^-1 P) det(B-tI)
= det(B-tI)
 
jack_bauer said:
To show that I think it might be sufficient to show that these two matrices (since they're similar) have the same characteristic polynomial. So...

There's an invertible matrix P such that
A= ((P^-1) B P)


det(A-tI)
det([P^-1 BP]-tI)
det([P^-1 BP]-[P^-1tI P])
det([P^-1(B-tI) P])
det(P^-1 P) det(B-tI)
= det(B-tI)

Sharing the same characteristic polynomial only tells you the eigenvalues and algebraic multiplicities are the same. It tells you nothing about geometric multiplicity or eigenvectors.
 

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