What Are the Characteristic Polynomials of a Matrix Where A² = A?

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SUMMARY

The discussion centers on the characteristic polynomials of an n × n matrix A that satisfies the equation A² = A. The minimal polynomial is established as x² - x, indicating eigenvalues of 0 and 1. It is concluded that A is similar to a diagonal matrix composed of Jordan blocks with 1's and 0's on the diagonal. The characteristic polynomial is expressed as p(t) = t^a(t-1)^b, where a and b represent the multiplicities of the eigenvalues, confirming that all characteristic polynomials must include factors of x and x - 1.

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Maybe_Memorie
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Homework Statement



A n × n-matrix A satisfies the equation A2 = A.

(a) List all possible characteristic polynomials of A.

(b) Show that A is similar to a diagonal matrix

Homework Equations


The Attempt at a Solution



A2 = A
so, A2 - A = 0
A(A-I) = 0

Our minimal polynomial is x2 - x = m(x)

Our eigenvalues are 0 and 1, and since in our minimal polynomial each one has a multiplicity of 1, A is similar to a diagonal matrix consisting of n jordan blocks with either 1's or 0's on the diagonal and 0 everywhere else since we have an nxn matrix and n jordan blocks.

So I've proved part (b) first.

For part (a) we don't know how many times each eigenvalue occurs in the characteristic polynomial, so p(t) = ta(t-1)b
where a,b=0,1,2,...,n.Is this correct?
 
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All is correct, except

Maybe_Memorie said:
A(A-I) = 0

A = 0, or A = I

AB=0 does not imply A=0 or B=0. For example

\left(\begin{array}{cc} 1 & 0\\ 0 & 0\end{array}\right)

is a matrix A that satisfied A^2=A, but which is not 0 or I.
 
Okay, thanks! :smile:
 
I like Serena said:
Hmm, couldn't the minimal polynomial also be a (polynomial) divider of x2-x?

:blushing: It's not my day today. Thanks ILS...
 
micromass said:
:blushing: It's not my day today. Thanks ILS...

No, I just deleted my post.
They're asking for all characteristic polynomials, not for all minimal characteristic polynomials.
 
I like Serena said:
No, I just deleted my post.
They're asking for all characteristic polynomials, not for all minimal characteristic polynomials.

No, you were correct. If a matrix satisfies A^2=A, then its minimal polynomial is not necessary x^2-x. I should have pointed that out.

That said, this doesn't change anything about the solutions of the OP. They remain correct.
 
If A^2- A= A(A- I)= 0, then, whatever the characteristic equation of A is, it must include factors of x and x- 1.
 

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