Characteristic Polynomial of A and A^2

Click For Summary

Homework Help Overview

The discussion revolves around finding the characteristic polynomial of a squared matrix A^2, given the characteristic polynomial of a 3x3 real matrix A. The original poster presents the polynomial and seeks to determine the coefficients of A^2's characteristic polynomial.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the relationship between the roots of the characteristic polynomial of A and those of A^2, discussing the implications of eigenvalues and their powers. Some question how to express the characteristic polynomial in terms of its roots, while others suggest considering complex eigenvalues.

Discussion Status

Participants are actively engaging with the problem, sharing insights about the relationship between eigenvalues and characteristic polynomials. There is acknowledgment of the complexity involved, particularly regarding the representation of the polynomial and the nature of its roots.

Contextual Notes

There is mention of constraints related to the eigenvalues, specifically that there is only one real eigenvalue, which complicates the factorization of the characteristic polynomial into linear terms.

estro
Messages
239
Reaction score
0
Hello,
I'm trying to figure out connection between the characteristic polynomials for real matrices [3x3] and their powers.

Suppose A is a real matrix [3x3] which's c.p is t^3+t^2+t-3, how can i find the c.p. of A^2.
Now suppose p(t)=a_1t^3+a_2t^2+a_3t+a_4

Right away I can know that a_1=1 and a_4=det(A)*det(A)=9.

But what can I do about a_2 and a_3?
 
Physics news on Phys.org
I think it's easier to focus on the roots of the polynomial, which should be fine since that tells you pretty much everything you need to know about the polynomial anyway. The characteristic polynomial of A is det(A-xI), correct? Say the roots of that are x=x1, x2, and x3. Now look at the characteristic polynomial of A2:
[tex]\det (A^2 - \lambda I) = \det \left( \left(A-\sqrt{\lambda}\right) \cdot \left(A+\sqrt{\lambda}\right) \right) = \det \left(A-\sqrt{\lambda}\right) \cdot \det \left(A+\sqrt{\lambda}\right)[/tex]
But, you already know the roots of det(A-xI), so the roots of the above equation just come from the equation
[tex]\pm \sqrt{\lambda}=x \Longrightarrow \lambda = x^2[/tex]
So in this case, the roots of the characteristic polynomial of A2 would be x12, x22, and x32
So if the characteristic polynomial for A looked like this:
[tex]p(x) = (x-x_1)(x-x_2)(x-x_3)[/tex]
then the characteristic polynomial for A2 would look like:
[tex]p_2(x) = (x-x_1^2)(x-x_2^2)(x-x_3^2)[/tex]
In fact, the characteristic polynomial for An is:
[tex]p_n(x) = (x-x_1^n)(x-x_2^n)(x-x_3^n)[/tex]

Now, using eigenvalues rather than determinants, this property is actually easier to derive. You know that if x is a root of the characteristic polynomial of A, then x is an eigenvalue, so there exists a non-zero vector v such that:
[tex]A\vec{v}=x\vec{v}[/tex]
Left multiply both sides by A to get
[tex]A^2\vec{v}=x(A\vec{v})[/tex]
But you know that Av=xv, so:
[tex]A^2\vec{v} = x(x\vec{v}) = x^2\vec{v}[/tex]
That tells you that x2 is an eigenvalue of A2, and you can easily show by induction (just left multiply by A, n times) that xn is an eigenvalue of An. Since an eigenvalue is a root of the characteristic polynomial, xn must be a root of the characteristic polynomial of An. So once you know the characteristic polynomial of A, you know that the roots of the characteristic of An are the roots of the characteristic of A raised to the nth power.

That may or may not translate to something nice in the p(x) = ax3+bx2+cx+d form (I'll let you try that... :wink:), but it tells you something very nice about the roots which is actually true for any mxm matrix, not just a 3x3 matrix. If you can turn the characteristic of an mxm A into the form:
[tex]p(x) = (x-x_1)\cdot (x-x_2) \cdot (x-x_3) \cdots (x-x_m)[/tex]
Then you immediately know that the characteristic of An is:
[tex]p(x) = (x-x_1^n)\cdot (x-x_2^n) \cdot (x-x_3^n) \cdots (x-x_m^n)[/tex]

Hope that helps answer your question, even if I didn't answer it directly.
 
Thank you for your detailed response, the problem is that this c.p. cano't be shown as a multiplication of linear terms, and there is only 1 real eigenvalue.

I'll try to put more thought on you suggestions in case I missed something in your hint.

[EDIT]
On second thought I don't see any reason why not applying your idea for all the eigenvalues even if the're not real.
 
nise post greenlaser - should be no problem expressing the multiplication as complex numbers
 
Thank you very much guys I was able to comprehend the idea...=)
 
Last edited:

Similar threads

  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 51 ·
2
Replies
51
Views
5K
Replies
21
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
Replies
9
Views
2K
Replies
12
Views
3K