On this page you'll find 6 example sentences with Eigenvector. Discover the meaning, how to use the word correctly in a sentence.
Eigenvector meaning
- A vector that is only scaled (not rotated out of its span) under a particular linear transformation; a left or right eigenvector depending on context; (more formally) given a linear transformation A, a vector x such that Ax=λx [or xA=λx] for some scalar λ (called the eigenvalue).
- A right eigenvector; given a matrix A, the eigenvector of the transformation "left-side multiplication by A."
Using Eigenvector
- The main meaning on this page is: A vector that is only scaled (not rotated out of its span) under a particular linear transformation; a left or right eigenvector depending on context; (more formally) given a linear transformation A, a vector x such that Ax=λx [or xA=λx] for some scalar λ (called the eigenvalue). | A right eigenvector; given a matrix A, the eigenvector of the transformation "left-side multiplication by A."
- In the example corpus, eigenvector often appears in combinations such as: the eigenvector, an eigenvector.
Context around Eigenvector
- Average sentence length in these examples: 20.8 words
- Position in the sentence: 0 start, 3 middle, 3 end
- Sentence types: 6 statements, 0 questions, 0 exclamations
Corpus analysis for Eigenvector
- In this selection, "eigenvector" usually appears in the middle of the sentence. The average example has 20.8 words, and this corpus slice is mostly made up of statements.
- Around the word, normalized and give stand out and add context to how "eigenvector" is used.
- Recognizable usage signals include a normalized eigenvector i and also an eigenvector for that. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "eigenvector" sits close to words such as aaaaa, aage and aardvarks, which helps place it inside the broader word index.
Example types with eigenvector
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
The corresponding eigenvalue is the factor by which the eigenvector is scaled. (12 words)
The components of this eigenvector give the relative abundance of each sequence at equilibrium. (14 words)
The weights can be computed from the corresponding eigenvectors: If is a normalized eigenvector (i. (15 words)
Assuming that the matrix W is a primitive matrix ( irreducible and aperiodic ), then after very many generations only the eigenvector with the largest eigenvalue will prevail, and it is this quasispecies that will eventually dominate. (35 words)
Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate. (26 words)
Moreover, the eigenvectors are not unique because any linear combination of eigenvectors for the same eigenvalue is also an eigenvector for that eigenvalue. (23 words)
Example sentences (6)
The corresponding eigenvalue is the factor by which the eigenvector is scaled.
Assuming that the matrix W is a primitive matrix ( irreducible and aperiodic ), then after very many generations only the eigenvector with the largest eigenvalue will prevail, and it is this quasispecies that will eventually dominate.
Each eigenstate of an observable corresponds to an eigenvector of the operator, and the associated eigenvalue corresponds to the value of the observable in that eigenstate.
Moreover, the eigenvectors are not unique because any linear combination of eigenvectors for the same eigenvalue is also an eigenvector for that eigenvalue.
The components of this eigenvector give the relative abundance of each sequence at equilibrium.
The weights can be computed from the corresponding eigenvectors: If is a normalized eigenvector (i.
Common combinations with eigenvector
These word pairs occur most frequently in English texts:
- the eigenvector 2×
- an eigenvector 2×