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System of linear equations
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===Vector equation=== One extremely helpful view is that each unknown is a weight for a [[column vector]] in a [[linear combination]]. :<math> x_1\begin{bmatrix}a_{11}\\a_{21}\\ \vdots \\a_{m1}\end{bmatrix} + x_2\begin{bmatrix}a_{12}\\a_{22}\\ \vdots \\a_{m2}\end{bmatrix} + \dots + x_n\begin{bmatrix}a_{1n}\\a_{2n}\\ \vdots \\a_{mn}\end{bmatrix} = \begin{bmatrix}b_1\\b_2\\ \vdots \\b_m\end{bmatrix} </math> This allows all the language and theory of ''[[vector space]]s'' (or more generally, ''[[Module (mathematics)|modules]]'') to be brought to bear. For example, the collection of all possible linear combinations of the vectors on the [[Sides of an equation|left-hand side]] (LHS) is called their ''[[Span (linear algebra)|span]]'', and the equations have a solution just when the right-hand vector is within that span. If every vector within that span has exactly one expression as a linear combination of the given left-hand vectors, then any solution is unique. In any event, the span has a ''[[basis (linear algebra)|basis]]'' of [[linearly independent]] vectors that do guarantee exactly one expression; and the number of vectors in that basis (its ''[[dimension (linear algebra)|dimension]]'') cannot be larger than ''m'' or ''n'', but it can be smaller. This is important because if we have ''m'' independent vectors a solution is guaranteed regardless of the right-hand side (RHS), and otherwise not guaranteed.
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