Same eigenvalues = same jordan form ?

In summary, having equivalent eigenvalues for two mxm matrices does not necessarily mean that they will have the same Jordan form, as the form also depends on the number of independent eigenvectors.
  • #1
JamesGoh
143
0
Say that for two mxm matrices, they have equivalent eigenvalues

If this is the case, is it safe to assume that the Jordan forms of both matrices will be the same ?

My reasoning comes from the fact that a general jordan block is represented
by the following matrix

λ 1 0 0
0 λ 1 0
0 0 λ 1
0 0 0 λ

and so on for an mxm matrix
 
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  • #2
No, it is not. The Jordan form depends upon the eigenvectors, not the eigenvalues. If a four by four matrix has [itex]\lambda[/itex] as its only eigenvalue then it can have Jordan forms of
[tex]\begin{bmatrix}\lambda & 0 & 0 & 0\\ 0 & \lambda & 0 & 0 \\ 0 & 0 & \lambda & 0 \\ 0 & 0 & 0 & \lambda\end{bmatrix}[/tex]
if it has four independent eigenvectors, or
[tex]\begin{bmatrix}\lambda & 1 & 0 & 0\\ 0 & \lambda & 0 & 0 \\ 0 & 0 & \lambda & 0 \\ 0 & 0 & 0 & \lambda\end{bmatrix}[/tex]
if it has three independent eigenvectors, or
[tex]\begin{bmatrix}\lambda & 1 & 0 & 0\\ 0 & \lambda & 1 & 0 \\ 0 & 0 & \lambda & 0 \\ 0 & 0 & 0 & \lambda\end{bmatrix}[/tex]
if it has two independent eigenvectors, or
[tex]\begin{bmatrix}\lambda & 1 & 0 & 0\\ 0 & \lambda & 1 & 0 \\ 0 & 0 & \lambda & 1 \\ 0 & 0 & 0 & \lambda\end{bmatrix}[/tex]
if it has only one independent eigenvector.
 

FAQ: Same eigenvalues = same jordan form ?

1. What is the concept of "same eigenvalues = same jordan form"?

"Same eigenvalues = same jordan form" is a mathematical concept that states that if two matrices have the same set of eigenvalues (the values that, when multiplied by the matrix, give the original vector back with just a scalar multiple), then they also have the same Jordan form (a form of representing a matrix in its simplest possible form).

2. How does the concept of "same eigenvalues = same jordan form" relate to linear algebra?

This concept is a fundamental result in linear algebra, as it allows for the simplification of complex matrices into their Jordan form, making it easier to analyze and understand their properties.

3. Why is it important to know if two matrices have the "same eigenvalues = same jordan form"?

Knowing if two matrices have the same eigenvalues and Jordan form can provide insight into their underlying properties and relationships. It can also aid in solving systems of linear equations and understanding the behavior of dynamical systems.

4. Is the concept of "same eigenvalues = same jordan form" applicable to all matrices?

No, this concept only applies to square matrices (matrices with an equal number of rows and columns). Additionally, it is only applicable to matrices with distinct eigenvalues and does not hold for matrices with repeated eigenvalues.

5. Can two matrices have the same eigenvalues and different Jordan forms?

No, according to the "same eigenvalues = same jordan form" concept, if two matrices have the same eigenvalues, they will also have the same Jordan form. However, the opposite is not always true. Two matrices can have the same Jordan form but different eigenvalues.

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