About 50 results
Open links in new tab
  1. What is the importance of eigenvalues/eigenvectors?

    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 …

  2. How to intuitively understand eigenvalue and eigenvector?

    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 …

  3. What is the difference between "singular value" and "eigenvalue"?

    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

  4. linear algebra - Eigenvalues of real left-circulant matrices ...

    Dec 8, 2025 · However, the actual eigenvalues of C C are 2, 1, −1 2, 1, 1. My questions: Is the standard formula only valid for right -circulant matrices? What is the correct formula for left -circulant matrices, …

  5. The connection between determinants and eigenvalues

    Jun 23, 2024 · Hints: The determinant is the product of eigenvalues. Do eigenvalues come in conjugate pairs in the case of a matrix with real entries? What's a complex number times its conjugate?

  6. linear algebra - Do matrices $A$ and $A^T$ have the same eigenvalues ...

    Dec 18, 2025 · The other answers have already presented correct proofs of the result that A A and AT A T have the same eigenvalues. I will try to address your original confusion about where your …

  7. What is the relation between rank of a matrix, its eigenvalues and ...

    Jul 5, 2015 · 1) If a matrix has 1 eigenvalue as zero, the dimension of its kernel may be 1 or more (depends upon the number of other eigenvalues). 2) If it has n distinct eigenvalues its rank is atleast n.

  8. Eigenvector definition and negative eigen values

    May 1, 2018 · Vectors for which this is true under the transformation are known as eigenvectors and the corresponding scalar called eigenvalues. You have described a situation where $\lambda < 0$ and …

  9. Numerically computing eigenvalues -- what is it useful for?

    Dec 18, 2023 · The eigenvalues of partial differential operators describing mechanical or electromagnetic systems are related to the resonance frequencies. For example, the frequencies at …

  10. Proof that the trace of a matrix is the sum of its eigenvalues

    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 …