# Characteristic Polynomial of an idempotent matrix.

I have to make an argument that the characteristic polynomial of an idempotent matrix A is precisely (maybe a constant multiple of) $$\lambda^{n-r}(1-\lambda)^{r}$$, where r is the rank of A. I know that for an idempotent matrix A, the eigenvalue is either 0 or 1 and that the 1-eigenspace of A is the image of A. Furthermore, I was given the hint to use the geometric multiplicity of the eigenvalue 1 and to entertain the questions: What is the geometric multiplicity of 0 as an eigenvalue? What is the sum of these two multiplicities? Is it possible that either eigenspace is deficient?

Update: Following Steven's suggestions, I tackled the problem as follows:

1. I found that geometric multiplicities as follows: \begin{align*} gmu(0)&=dim(ker(A-(0)I)) \\ &=dim(ker(A)) \\ &=n-rank(A-I) \\ &=n-r \end{align*} and \begin{align*} gmu(1)&=dim(ker(A-(1)I)) \\ &=dim(E_{1}) \\ &=dim(im(A)) \\ &=n \end{align*}

2. I then use these multiplicities to argue that the minimal polynomial must be of the form: $$f_{A}(\lambda)=(\lambda)^{n-r}(1-\lambda)^{r}$$ where the roots are either 0 or 1, as suggested by the answer below. Then, matrix A is diagonalizable and similar to a diagonal matrix D with r $$1$$'s and (n-r) $$0$$'s as its diagonal entries.

• The rank-nullity theorem should be of use here May 12, 2021 at 9:36

Question: "How can one approach this argument? Any help would be appreciated."

Answer: Let $$A$$ be an $$n \times n$$ matrix with $$A^2=A$$. Let $$v \neq 0$$ be an eigenvector with eigenvalue $$\lambda$$. It follows $$Av=\lambda v$$ and

$$\lambda v=Av=A^2v=A(Av)=A(\lambda v)=\lambda^2v$$

hence $$\lambda^2=\lambda$$ and hence $$\lambda =0,1$$. Hence the eigenvalues of $$A$$ are $$0,1$$. It follows the characteristic polynomial (which has degree $$n$$) must look as follows:

$$\chi_A(t)=t^{n-r}(t-1)^r$$

for some integer $$r$$, since the eigenvalues of $$A$$ equal the roots ot $$\chi_A(t)$$.

• Hi, @hm2020. I follow you all the way through the following statement: "It follows the characteristic polynomial (which has degree 𝑛) must look as follows." I am failing to see the connection of that with the previous statement that lambda = 0 or 1. Could you provide a further explanation as to why it must be of that form (which is not the form that I'm used to seeing: e.g., $t^{2}-tr(A)t+det(A)$ for a 2 by 2 )? Am I missing something important conceptually or algebriaclly here? Thanks. May 12, 2021 at 18:02