Is this matrix diagonalizable?

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The discussion centers on the diagonalizability of matrices, specifically examining the matrix (4 0 0; 0 2 2; 2 3 1) and its characteristic polynomial (x + 1)(x - 4)^2. The confusion arises from the discrepancy between the algebraic multiplicity (AM) and geometric multiplicity (GM) of eigenvalues, particularly for the eigenvalue 4, where dim(E4) = 1 despite an AM of 2. Additionally, the matrix (3 0 6; 0 -3 0; 5 0 2) has a characteristic polynomial (λ + 3)^2(λ - 8), leading to a similar inquiry about the eigenspace dimension for the eigenvalue -3, which is determined by row reducing (A + 3I)x = 0. The conclusion is that if AM > GM, the matrix is not diagonalizable.

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is htis matrix diagonalizable?
[tex]\left( \begin{array}{ccc}4&0&0\\0&2&2\\2&3&1 \end{array} \right)[/tex]
the characteristic polynomial is [tex](x+1)(x-4)^2[/tex]
whats worng with the multiplicity here?
the back of the book says dim(E4) =1 and here multiplicity is 2?

but what about this problem
[tex]\left( \begin{array}{ccc}3&0&6\\0&-3&0\\5&0&2 \end{array} \right)[/tex]
whose characteristic polynomial is [tex](\lambda +3)^2 (\lambda -8) = C_{A} (x)[/tex]
here the multiplicity of lambda = -3 is 2 and the [itex]dim(E_{-3}) = ?? <br /> what is the dimension of E (-3)??[/itex]
 
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The dimension of the eigenspace of -3 is the number of independent eigenvectors you can find for the eigenvalue -3. This will be either 1 or 2 eigenvectors. To find them, row reduce (A - (-3)I)x = 0.
 
There's a difference between the algebraic multiplicity (AM, which is the multiplicity of the root in the characteristic polynomial) and the geometric multiplicity (GM, which is the dimension of the eigenspace belonging to that eigenvalue, so the number of linearly independent eigenvectors).
When AM > GM for a certain eigenvalue (GM > AM isn't possible), then the matrix is not diagonalizable since you won't have enough linearly independent eigenvectors.
 

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