Little question about eigenvalues

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If one eigenvalue of a matrix is zero, it indicates that the determinant is also zero, meaning the matrix is not invertible. However, it is possible for a matrix to have both zero and non-zero eigenvalues, as demonstrated by the characteristic polynomial example given. The eigenvalues are the roots of this polynomial, and having one root as zero does not preclude the existence of other non-zero roots. The discussion clarifies that when determining eigenvalues, the characteristic polynomial is derived from the determinant of the matrix minus a scalar multiple of the identity matrix. Ultimately, a zero eigenvalue signifies non-invertibility but does not limit the presence of other eigenvalues.
Kubilay Yazoglu
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Hey there, I'm thinking about if one of the eigenvalues is zero (means determinant is 0. right?) So, is there any possibility to non-zero eigenvalue also exists?
 
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for a diagonal matrix, the eigenvalues are the numbers on the diagonal. so what do you think can happen?
 
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Well, now that I'm more inside of these things, I realized that I've asked a stupid question :D Of course there is.
 
another point of view is that eigenvalues are roots of the characteristic polynomial. so if one root is zero can other roots be non zero?
 
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mathwonk said:
another point of view is that eigenvalues are roots of the characteristic polynomial. so if one root is zero can other roots be non zero?
Yes
 
Well, you could have something like:
## \lambda^3 + 18\lambda^2 + 81\lambda##
Where you have eigenvalues ##\lambda_1 = 0## and ##\lambda_2 = -9##.
So, I certainly think you can have an eigenvalue of zero and other nonzero eigenvalues. And also, I'm not sure what you mean by the determinant being zero; to get a characteristic polynomial, you have to take the determinant and set it equal to zero to solve for the eigenvalues in the first place.
In other words, you find eigenvalues using:
##\det(A - \lambda I_A) = 0## (Given a matrix A and its identity matrix, IA).
 
*EDIT*
I misspoke above; I listed two eigenvalues, whereas a ##3 \times 3## matrix (with a cubic characteristic polynomial) would have three eigenvalues. Of course, in the case I listed above, two of the eigenvalues, ##\lambda_2## and ##\lambda_3## would be the same (λ2 = λ3 = -9). I was treating them as roots of a cubic, where (with three solutions) there are only two roots, given two of them are the same. In the context of matrix algebra, though, all eigenvalues should be accounted for.
 
Well, if there is an eigenvalue ## \lambda=0 ##, then Det(A-0I_A)=Det(A)=0.
 
Why is that a problem? Having zero determinant just means that it's not invertible.
 

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