Proving Non-Conjugate Matrices with Characteristic and Minimal Polynomials

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In summary, we are trying to prove that the given matrices are not conjugate. We cannot use the characteristic polynomial since all three matrices have the same one. We can use other invariants like the minimal polynomial or the number of eigenvectors, which must be the same for conjugate matrices. This is a more useful condition to determine conjugacy.
  • #1
Steph
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I have a question where I must prove that none of the following matrices are conjugate:

1 1 0
0 1 1
0 0 1

1 1 0
0 1 0
0 0 1

1 0 0
0 1 0
0 0 1


I started by working out the characteristic polynomials since if these were different, the matrices couldn't be conjugate. But all three have the same characteristic polynomial [(1-t)^3], so that didn't help me.

I'm not sure what else I can do from here. I know that if A and B are conjugate, A = QBP where Q is the inverse of the matrix P. Also, matrices are conjugate if they represent the same linear transformation after a change of basis.

But I'm not sure how to apply these definitions to a specific example.

Thanks in advance for any help.
 
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  • #2
minimal polynomial, not characteristic polynomial.another way (equivalent) is to think of some other invariants under conjugation such as the number of eigenvectors.
 
  • #3
I have written in my notes that conjugate matrices have the same characteristic polynomial -- am I correct if I say that conjugate matrices must have the same characteristic polynomial, but that matrices with the same characteristic polynomial are not necessarily conjugate? Is the point here that the minimal polynomials must also be the same for conjugate matrices, and that this is a more useful condition?


Many thanks for your help - I've used your suggestion and completed that and the rest of the question.
 
  • #4
Of course conjugate matrices have the same char poly, but as you noted yourself that is not enough to differentiate between non-conjugate matrices. Minimal polys do differentiate between them.
 

FAQ: Proving Non-Conjugate Matrices with Characteristic and Minimal Polynomials

What are similar/conjugate matrices?

Similar or conjugate matrices are matrices that have the same structure and can be transformed into one another through a simple change of basis. This means that the two matrices have the same eigenvalues and eigenvectors, but their entries may be different.

How do I determine if two matrices are similar/conjugate?

To determine if two matrices are similar/conjugate, you can calculate their eigenvalues and eigenvectors. If the eigenvalues and eigenvectors are the same for both matrices, then they are similar/conjugate.

What is the significance of similar/conjugate matrices?

Similar/conjugate matrices are significant because they represent the same linear transformation in different bases. This allows us to simplify calculations and understand the behavior of a matrix better.

How do similar/conjugate matrices affect matrix operations?

Similar/conjugate matrices do not affect basic matrix operations such as addition, subtraction, and multiplication. However, they can simplify more complex operations such as finding the inverse or determinant of a matrix.

Can a matrix be similar/conjugate to itself?

Yes, a matrix can be similar/conjugate to itself. This is because a matrix can be considered similar/conjugate to another matrix if they have the same eigenvalues and eigenvectors, regardless of their entries.

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