Same Eigenvalues?

Algebra Level 2

Consider two square matrices of the same size A A and B B . There exists a nonsingular square matrix M M such that

B = M 1 A M B = M^{-1}AM

The claim is that A A and B B have the same eigenvalues. Is this claim true or not? Why?

Bonus: What can be said about the eigenvectors of A A and B B ? Moreover, what do the matrices A A and B B qualify as?

No, it is false Yes, it is true

This section requires Javascript.
You are seeing this because something didn't load right. We suggest you, (a) try refreshing the page, (b) enabling javascript if it is disabled on your browser and, finally, (c) loading the non-javascript version of this page . We're sorry about the hassle.

1 solution

Chris Lewis
Aug 29, 2019

Let v v be an eigenvector of A A with corresponding eigenvalue λ \lambda , ie A v = λ v Av=\lambda v .

We have M 1 A = B M 1 M^{-1} A=BM^{-1} ; so B M 1 v = λ M 1 v BM^{-1} v = \lambda M^{-1} v ; hence M 1 v M^{-1} v is an eigenvector of B B with corresponding eigenvalue λ \lambda , so all eigenvalues of A A are also eigenvalues of B B (and vice-versa).

Alternatively, the characteristic polynomial of A A is χ A ( t ) = t I A \chi_A(t)=|tI-A| . The characteristic polynomial of B B is

χ B ( t ) = t I B = t I M 1 A M = M 1 t M A M = M 1 M t A = t I A = χ A ( t ) \chi_B(t)=|tI-B|=|tI-M^{-1} AM|=|M^{-1}| \cdot |tM-AM| = |M^{-1}|\cdot |M| \cdot |t-A| = |tI-A| = \chi_A(t)

so again we see the eigenvalues are the same.

The matrices A A and B B represent the same linear operator in a different basis (other terms for this are that A A and B B are similar, or conjugate matrices).

0 pending reports

×

Problem Loading...

Note Loading...

Set Loading...