# Vector space

A **vector space** over a field (frequently the real numbers) is an object which arises in linear algebra and abstract algebra. A vector space over a field consists of a set (of vectors) and two operations, vector addition and scalar multiplication, which obey the following rules:

## Contents

## Axioms of vector space

- Under vector addition, the set of vectors forms an abelian group. Thus, addition is associative and commutative and there is an additive identity (usually denoted ) and additive inverses.

- Scalar multiplication is associative, so if and then .

- Scalar multiplication distributes over vector addition, so if and then .

- Scalar multiplication by the multiplicative identity of is the identity transformation, so ,

## Subspaces

If and is a vector space itself (over the same field), then it is called a *subspace* of .

## Independent Subsets

Let be any vector space. Let be a subset of such that no linear combination of elements of with coefficients not all zero gives the null vector. Then is said to be a linearly independent subset of . An independent subset is said to be maximal if on adding any other element it ceases to be independent.

## Span

Let be a subset of some vector space . Then the set of all linear combinations of the elements of forms a subspace of . This space is said to have been generated by , and is called the *span* of .

## Generating Subset

If is a subset of a vector space such that , is said to be a generating subset of . A generating subset is said to be *minimal* if on removing any element it ceases to be generating.

## Basis and dimension

The following statements can be proved using the above definitions:

- All minimal generating subsets have the same cardinality.
- All maximal independent subsets have the same cardinality.
- The cardinality of an independent subset can never exceed that of a generating subset.

An independent generating subset of is said to be its *basis*. A basis is always a maximal independent subset and a minimal generating subset. The cardinalities of all bases are equal. This cardinality is said to be the *dimension* of .

## Isomorphism

Any two vector spaces of the same dimension over the same field are isomorphic -- there exists a bijection between the vector spaces which commutes with scalar multiplication and vector addition. Two isomorphic vector spaces are in some sense "the same," and any fact about one should also be true of the other.