MHB Technical problem with eigenvalues

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To find the eigenvalues of the given matrix, the characteristic polynomial is calculated as -λ^3 + 8λ^2 - 20λ + 16. The eigenvalues are 2, 2, and 4, but the user seeks guidance on factoring the polynomial into (λ - 4)(λ - 2)². The Rational Root Theorem is suggested as a starting point to identify one root, followed by polynomial long division or synthetic division to simplify the polynomial. Transformations of the matrix can also aid in factorization, leading to the desired form of the characteristic polynomial.
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Hello

I was trying to find eigenvalues of a matrix. I calculated the characteristic polynomial by calculating (A-lambdaI) and then calculating it's determinant. The results was:

-\lambda ^{3}+8\lambda ^{2}-20\lambda +16

which is the correct calculation.

Now, the eigenvalues are 2,2,4, but I do not know, technically, how am I suppose to find it from:

-\lambda ^{3}+8\lambda ^{2}-20\lambda +16 = 0

I mean, how do I expand this polynomial into:

(\lambda -4)(\lambda -2)^{2}

assuming that I do not see it in my eyes immediately, is there some hint to look for ?

Just to supply all information, the matrix is:

\begin{pmatrix} 3 &2 &3 \\ -1 &0 &-3 \\ 1 &2 &5 \end{pmatrix}thanks !
 
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The first place to look would be the Rational Root Theorem. Then, once you get one root, you can perform polynomial long division or synthetic division to obtain a quadratic times the linear factor you just discovered.
 
Sometimes (this is the case) we can get factorized the characteristc polynomial with adequate transformations. For example, $R_3+R_2$ and $C_2-C_3$ provide:

$$\begin{aligned}\begin{vmatrix}{3-\lambda}&{2}&{3}\\{-1}&{-\lambda}&{-3}\\{1}&{2}&{5-\lambda}\end{vmatrix}&=\begin{vmatrix}{3-\lambda}&{2}&{3}\\{-1}&{-\lambda}&{-3}\\{0}&{2-\lambda}&{2-\lambda}\end{vmatrix}\\ &=\begin{vmatrix}{3-\lambda}&{-1}&{3}\\{-1}&{-\lambda+3}&{-3}\\{0}&{0}&{2-\lambda}\end{vmatrix}\\&=(2-\lambda)(\lambda^2-6\lambda+8)\\&=-(\lambda-2)^2(\lambda-4)\end{aligned}$$
 
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