Finite-Dimensional Vector Space¶
Definition¶
A vector space over a field is finite-dimensional if it has a finite spanning list: there are vectors such that
Equivalently, every is a linear combination with coefficients in . The zero vector space is included and has dimension zero. A vector space that is not finite-dimensional is called infinite-dimensional.
Interpretation¶
A vector space is finite-dimensional when finitely many vectors are enough to build every vector in it by linear combinations. This does not mean that the space contains only finitely many vectors: contains infinitely many vectors, but the two coordinate directions and span it.
The condition lets the theory work with finite lists. A finite spanning list can be reduced to a basis by removing redundant vectors one at a time, and every basis then has the same finite length, the dimension. So each vector is described by a fixed, finite number of coordinates. The spaces and are finite-dimensional, and so is the space of polynomials of degree at most , which is spanned by .
Infinite-dimensional spaces exist as well. All real polynomials, of any degree, form a vector space. The polynomials in a finite list have degree at most some number , and so has every linear combination of them; the polynomial is never reached. Hence no finite list spans this space.
Key Results¶
- A finite spanning list can be reduced to a basis.
- Relative to a basis, every vector has a unique expression as a linear combination of the basis vectors.
Examples¶
- The coordinate vectors and span .
- The space of polynomials of degree at most two is spanned by .
Prerequisites¶
Related Concepts¶
Sources¶
- Math II: Linear Algebra · Week 2
- Sheldon Axler, Linear Algebra Done Right, fourth edition, Section 2A.
Aliases: finite dimensional space Symbols: complex numbers, element of, real numbers
Last updated: 20 October 2026 03:02
Finite-Dimensional Vector SpaceDimensionVector SpaceBasisLinear SpanLinear Dependence and Independence