generalized eigenvectors造句
例句與造句
- Generalized eigenvectors corresponding to distinct eigenvalues are linearly independent.
- In particular, for all generalized eigenvectors associated with
- Defective matrices are not mentioned explicitly, although there are some oblique references to generalized eigenvectors.
- For a real matrix the nonreal eigenvectors and generalized eigenvectors can always be chosen to form complex conjugate pairs.
- Consequently, there will be three linearly independent generalized eigenvectors; one each of ranks 3, 2 and 1.
- It's difficult to find generalized eigenvectors in a sentence. 用generalized eigenvectors造句挺難的
- To check that " T " has no generalized eigenvectors with eigenvalue 1 / 2 it suffices to show that
- However, every eigenvalue with algebraic multiplicity " m " always has " m " linearly independent generalized eigenvectors.
- For defective matrices, the notion of eigenvectors generalizes to generalized eigenvectors and the diagonal matrix of eigenvalues generalizes to the Jordan normal form.
- Using generalized eigenvectors, a set of linearly independent eigenvectors of A can be extended, if necessary, to a complete basis for V.
- If \ lambda is an eigenvalue of algebraic multiplicity \ mu, then A will have \ mu linearly independent generalized eigenvectors corresponding to \ lambda.
- The set spanned by all generalized eigenvectors for a given \ lambda, forms the "'generalized eigenspace "'for \ lambda.
- In general, the numbers \ rho _ k of linearly independent generalized eigenvectors of rank " k " will not always be equal.
- If \ lambda is an eigenvalue of A of algebraic multiplicity \ mu, then A will have \ mu linearly independent generalized eigenvectors corresponding to \ lambda.
- Once we have determined the number of generalized eigenvectors of each rank that a canonical basis has, we can obtain the vectors explicitly ( see generalized eigenvector ).
- Now using equations ( ), we obtain \ bold x _ 2 and \ bold x _ 1 as generalized eigenvectors of rank 2 and 1 respectively, where
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