Eigenspaces is an English word. Below you'll find 2 example sentences showing how it's used in practice.
Eigenspaces in a sentence
Eigenspaces meaning
plural of eigenspace
Using Eigenspaces
- The main meaning on this page is: plural of eigenspace
Context around Eigenspaces
- Average sentence length in these examples: 23.5 words
- Position in the sentence: 0 start, 1 middle, 1 end
- Sentence types: 2 statements, 0 questions, 0 exclamations
Corpus analysis for Eigenspaces
- In this selection, "eigenspaces" usually appears in the middle of the sentence. The average example has 23.5 words, and this corpus slice is mostly made up of statements.
- Around the word, two stand out and add context to how "eigenspaces" is used.
- Recognizable usage signals include the two eigenspaces of p and theory of eigenspaces. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "eigenspaces" sits close to words such as aabc, aacr and aacsb, which helps place it inside the broader word index.
Example types with eigenspaces
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
The theory of Banach algebras develops a very general concept of spectra that elegantly generalizes the theory of eigenspaces. (19 words)
Mathematically, this says that the state vector is confined to one of the two eigenspaces of P, and is not allowed to range over the entire Hilbert space. (28 words)
Mathematically, this says that the state vector is confined to one of the two eigenspaces of P, and is not allowed to range over the entire Hilbert space. (28 words)
The theory of Banach algebras develops a very general concept of spectra that elegantly generalizes the theory of eigenspaces. (19 words)
Example sentences (2)
Mathematically, this says that the state vector is confined to one of the two eigenspaces of P, and is not allowed to range over the entire Hilbert space.
The theory of Banach algebras develops a very general concept of spectra that elegantly generalizes the theory of eigenspaces.