The Linear span reference article from the English Wikipedia on 24-Apr-2004
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Linear span

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Topics in Linear Algebra
Vectors
Vector spaces
Linear span
Linear transformation
Linear independence
Linear combination
Basis
Column space
Row space
Dual space
Orthogonality
Eigenvector
Eigenvalue
Least squares regressions
Outer product
Cross product
Dot product
Transpose
Matrix decomposition

In mathematics, if V is a vector space and S is a subset of V, then S spans V if every vector in V can be written as a linear combination of (finitely many) elements from S.
S is then called a spanning set
or generating set of V.

Given any subset S of a vector space V, regardless of whether S is a spanning set of V, we can define the span of S to be the set of all linear combinations of elements of S. Then S spans V if and only if V is the span of S; in general, however, the span of S will only be a subspace of V.

A spanning set that is also linearly independent is a basis. In other words, S is a basis of V if and only if every vector in V can be written as a linear combination of elements of S in exactly one way.

Examples

The real vector space R3 has {(1,0,0), (0,1,0), (0,0,1)} as a spanning set. This spanning set is actually a basis. Another spanning set for the same space is given by {(1,2,3), (0,1,2), (−1,1/2,3), (1,1,1)}, but this set is not a basis, because it is linearly dependent. The set {(1,0,0), (0,1,0), (1,1,0)} is not even a spanning set of R3; instead its span is the space of all vectors in R3 whose last component is zero.