Proving Non-Conjugate Matrices with Characteristic and Minimal Polynomials

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Homework Help Overview

The discussion revolves around proving that a set of matrices are not conjugate by examining their characteristic and minimal polynomials. The matrices in question are upper triangular with varying structures, and the original poster is exploring the implications of their shared characteristic polynomial.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to use characteristic polynomials to determine conjugacy but finds that they are the same for all matrices. They question what other methods can be employed, particularly regarding the definitions of conjugate matrices and their invariants.
  • Another participant suggests focusing on the minimal polynomial as a more effective tool for distinguishing between the matrices.
  • Further clarification is sought on the relationship between characteristic and minimal polynomials, specifically whether the latter must also be the same for conjugate matrices.

Discussion Status

The discussion is actively exploring the relationship between characteristic and minimal polynomials in the context of matrix conjugacy. Participants are providing insights into the definitions and properties of these polynomials, with some guidance on focusing on minimal polynomials as a differentiating factor.

Contextual Notes

There is an emphasis on the definitions of conjugate matrices and the invariants that can be used to assess their conjugacy. The original poster expresses uncertainty about applying these definitions to their specific examples, indicating a need for further exploration of the topic.

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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minimal polynomial, not characteristic polynomial.another way (equivalent) is to think of some other invariants under conjugation such as the number of eigenvectors.
 
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.
 
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.
 

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