If two matrices have the same determinant, are they similar?

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    Determinant Matrices
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Discussion Overview

The discussion revolves around the relationship between the determinants of matrices and their similarity. Participants explore whether having the same determinant implies that two matrices are similar, and they seek counterexamples to demonstrate that this is not necessarily true. The conversation includes theoretical considerations and examples related to linear algebra concepts.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant asserts that while similar matrices have equal determinants, the converse may not hold true and requests a counterexample.
  • Another participant suggests that a non-zero matrix with a vanishing determinant cannot be similar to the zero matrix.
  • It is noted that the determinant is invariant under similarity but is not a complete invariant, indicating that two nonsimilar matrices can share the same determinant.
  • Participants mention various checks (rank, trace, eigenvalues, etc.) that can indicate similarity beyond just the determinant.
  • One example provided involves a 2x2 matrix related to the Fibonacci series and another matrix with the same determinant but different properties, illustrating that they cannot be similar.
  • Discussion includes references to Jordan normal form and companion matrices as tools for understanding similarity classes and their relationship to determinants.

Areas of Agreement / Disagreement

Participants generally agree that having the same determinant does not guarantee similarity, and multiple competing views and examples are presented without a consensus on a definitive counterexample.

Contextual Notes

The discussion highlights the complexity of determining similarity beyond determinants, including the need for complete invariants and the role of various matrix forms. There are unresolved aspects regarding the implications of different matrix properties on similarity.

Who May Find This Useful

This discussion may be of interest to students and professionals in mathematics, particularly those studying linear algebra and matrix theory.

Bipolarity
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If two matrices are similar, it can be proved that their determinants are equal. What about the converse? I don't think it is true, but could someone help me cook up a counterexample? How does one prove that two matrices are not similar?

Thanks!

BiP
 
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Take any non-zero matrix with vanishing determinant. This will obviously not be similar to the zero matrix.
 
Like wbn showed, determinant is invariant under similarity, but it is not a complete invariant. This means that two nonsimilar matrices share the same determinant.
It is actually not so easy to come up with a complete invariant of similarity. A possible complete invariant is given by the Jordan normal form.
 
Like Micromass and WBN have explained, similar matrices have the same determinant, so if two matrices have different determinants they cannot be similar. There are a lot of other quick checks you can do: rank, determinant, trace, eigenvalues, characteristic polynomial, minimal polynomial. Do the Matrices define the same linear map with respect to different bases?

It is easy to come up with counterexamples of how two matrices having the same determinant is not strong enough to guarantee similarity.
 
Take the 2x2n matrix representing the Fibonnacci series (take the diagonalized version to simplify) and find another 2x2 matrix with the same determinant , but scaled by x and 1/x (x not 0 , of course) . Since the new matrix does not generate the Fibonnacci series, the two matrices cannot be similar. Or , use the fact that all rotations in R^n have determinant 1. Then rotations by different amounts cannot be similar to each other.
 
look up jordan form. this gives a canonical representative of the similarity class. i.e. no 2 different jordan forms are similar.

looking at the appearance of a jordan matrix it should be obvious you have a large amount of freedom to change the similarity class, i.e. the jordan form, without changing the determinant.

or maybe clearer, look at a "companion matrix" used in rational canonical form, another version of a canonical choice of a representative of a similarity class.

Even for a matrix that is "cyclic" i.e. whose rational canonical form is a single companion matrix, note that the matrix contains the coefficients of the entire characteristic polynomial, whereas the determinant is given by only the constant term of that polynomial.
 
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