Difference between revisions of "Null, column and row space"
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The null space is all so known as the solution space. | The null space is all so known as the solution space. | ||
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| + | ==Column space== | ||
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| + | The column space is the vector space formed by the [[span]] of the columns of the matrix <math>A</math>. | ||
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| + | ==Row Space== | ||
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| + | The rows space is the vector space formed by the [[span]] of the rows of the matrix <math>A</math>. | ||
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| + | [[Category:mathematics]] | ||
Revision as of 23:51, June 2, 2008
In mathematics a matrix can be catergorised by its null, column and to a lesser extent its column space. These are all vector spaces asscoiated with a particular matrix.
Null space
The null space of a <math>n\times m</math> matrix <math>A</math> is as,
- <math>\{\boldsymbol{x}\in\mathbb{R}^m|A\boldsymbol{x}=\boldsymbol{0}\}</math>.
The null space is all so known as the solution space.
Column space
The column space is the vector space formed by the span of the columns of the matrix <math>A</math>.
Row Space
The rows space is the vector space formed by the span of the rows of the matrix <math>A</math>.