When a Hermitian linear operator is slightly perturbed, by how much can its invariant subspaces change? Given some approximations to a cluster of neighboring eigenvalues and to the corresponding ...

They’d noticed that hard-to-compute terms called “eigenvectors,” describing, in this case, the ways that neutrinos propagate through matter, were equal to combinations of terms called “eigenvalues,” ...

The purpose of the Institute of Mathematical Statistics (IMS) is to foster the development and dissemination of the theory and applications of statistics and probability. The Institute was formed at a ...

Figure 3. Squared correlations of the five largest non-trivial eigenvectors with p over 25 iterations. From about the 10th to the 18th iteration, three eigenvectors make significant contributions to ...

MatShow(eigenVecs, 4, 9, false); The MatExtractCols () function pulls out each column in the eigenvectors, ordered by the idxs array, which holds the order in which to sort from largest to smallest.

However, every time I hear the prefix eigen-, I cringe. Eigenvectors, eigenvalues, eigenspaces, you name it, for some reason these really important bits of linear algebra always gave me fits.