Translation for 'eigenvector' from English to Italian

eigenvector

autovettore {m}mat.

• An eigenfunction is a type of eigenvector.
• autocorrelation matrix, the dimension of the noise subspace is equal to one and is spanned by the eigenvector corresponding to the minimum eigenvalue.
• Eigenvector centrality is a measure of the influence a node has on a network.
• every eigenvector with eigenvalue 1 is orthogonal to every eigenvector with eigenvalue −1, such an affine involution is an isometry.
• In using these criteria, one must be careful to ensure that the largest eigenvalue belongs to a "timelike" eigenvector, since there are Lorentzian manifolds, satisfying this eigenvalue criterion, in which the large eigenvalue belongs to a "spacelike" eigenvector, and these cannot represent radiation fluids.

• Real, repeated eigenvalues require solving the coefficient matrix with an unknown vector and the first eigenvector to generate the second solution of a two-by-two system.
• Notation: The index j represents the jth eigenvalue or eigenvector.
• has a nonzero component in the direction of an eigenvector associated with the dominant eigenvalue, then a subsequence [...] converges to an eigenvector associated with the dominant eigenvalue.
• The nonnegative eigenvector is often normalized so that the sum of its components is equal to unity; in this case, the eigenvector is the vector of a probability distribution and is sometimes called a "stochastic eigenvector".
• In the usual eigenvector problem, there is freedom to multiply an eigenvector by an arbitrary scalar; in this case there is freedom to multiply by an arbitrary non-zero rotation.

• As for unidimensional networks, eigenvector versatility can be defined as the solution of the eigenvalue problem given by [...] , where Einstein summation convention is used for sake of simplicity.
• These eigenvectors have several interesting implications.
• In linear algebra, a generalized eigenvector of an [...] matrix [...] is a vector which satisfies certain criteria which are more relaxed than those for an (ordinary) eigenvector.
• can be taken as an eigenvector associated with the eigenvalue −2, and [...] as an eigenvector associated with the eigenvalue 3, as can be verified by multiplying them by [...].