-
eigenvectors are
those vectors that are only stretched, with no
rotation or shear. The
corresponding eigenvalue is the
factor by
which an
eigenvector...
-
independent generalized eigenvectors which form a
basis for an
invariant subspace of V{\displaystyle V}.
Using generalized eigenvectors, a set of linearly...
-
cannot be diagonalized. The n
eigenvectors qi are
usually normalized, but they need not be. A non-normalized set of n
eigenvectors, vi can also be used as the...
- In
graph theory,
eigenvector centrality (also
called eigencentrality or
prestige score) is a
measure of the
influence of a node in a
connected network...
- is the same
process as
finding its
eigenvalues and
eigenvectors, in the case that the
eigenvectors form a basis. For example,
consider the
matrix A=[01−20101−13]...
- jth
eigenvector.
Matrix V
denotes the
matrix of
right eigenvectors (as
opposed to left
eigenvectors). In general, the
matrix of
right eigenvectors need...
- An
eigenface (/ˈaɪɡən-/ EYE-gən-) is the name
given to a set of
eigenvectors when used in the
computer vision problem of
human face recognition. The approach...
- of A in a
basis of
eigenvectors is diagonal, and by the
construction the
proof gives a
basis of
mutually orthogonal eigenvectors; by
choosing them to...
- also find
eigenvectors.
Given an n × n
square matrix A of real or
complex numbers, an
eigenvalue λ and its ****ociated
generalized eigenvector v are a pair...
- with multiplicity) of A and let v1, v2, ..., vm be the
corresponding eigenvectors.
Suppose that λ1{\displaystyle \lambda _{1}} is the
dominant eigenvalue...