Linear and multilinear algebra; matrix theory Vector spaces Concept
Dimension
Summary
The dimension of a vector space is the number of vectors in a basis of the space. It does not depend on the basis.
Where this leads
13 pages build on this one.
- Interlacing of zeros of orthogonal polynomials
- Unisolvent point set
- Cauchy interlacing theorem
- Courant–Fischer characterization of characteristic values
- Existence of best approximations from finite-dimensional subspaces
- Rank of an abelian group
- Embedding dimension
- Courant–Fischer min-max theorem
- Ulm's theorem
- Weyl's inequality
- Coplanarity
- Projective subspace
- Character of a representation
Further reading
About this page
| Tag | 03GSZ8RTZJ |
|---|---|
| URI | m2://03GSZ8RTZJ |
| Kind | concept |
| Writing | W0 stub |
| MSC | 15A03 |
| Same as |
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