Feb 23, 2011 · 9 Eigenvalues and eigenvectors are central to the definition of measurement in quantum mechanics Measurements are what you do during experiments, so this is obviously of central …

I think eigenvalue product corresponding eigenvector has same effect as the matrix product eigenvector geometrically. I think my former understanding may be too naive so that I cannot find the link …

There are already good answers about importance of eigenvalues / eigenvectors, such as this question and some others, as well as this Wikipedia article. I know the theory and these examples, but n...

Dec 4, 2014 · What is the geometric meaning of a $3 \\times 3$ matrix having all three eigenvalues as zero? I have interpretations in mind for $0$, $1$, and $2$ eigenvalues being zero, but what about all …

Jul 1, 2020 · Prove that the product of eigenvalues is equal to the determinant Ask Question Asked 5 years, 6 months ago Modified 5 years, 6 months ago

I am trying to prove some statements about singular value decomposition, but I am not sure what the difference between singular value and eigenvalue is. Is "singular value" just another name for

Oct 31, 2013 · 28 Trace is preserved under similarity and every matrix is similar to a Jordan block matrix. Since the Jordan block matrix has its eigenvalues on the diagonal, its trace is the sum (with …

Jul 5, 2015 · A A has no real valued eigenvalues and no real valued eigenvectors. But A A has two complex valued eigenvalues λ1 = i, λ2 = −i λ 1 = i, λ 2 = i and two complex valued eigenvectors. …

The statement in the question was correct. The product of all eigenvalues (repeated ones counted multiple times) is equal to the determinant of the matrix.

Closed 3 years ago. How can I prove that if I have n n eigenvectors from different eigenvalues, they are all linearly independent?