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Linear subspace
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===Equations for a subspace=== :'''Input''' A basis {'''b'''<sub>1</sub>, '''b'''<sub>2</sub>, ..., '''b'''<sub>''k''</sub>} for a subspace ''S'' of ''K''<sup>''n''</sup> :'''Output''' An (''n'' β ''k'') Γ ''n'' matrix whose null space is ''S''. :# Create a matrix ''A'' whose rows are {{nowrap| '''b'''<sub>1</sub>, '''b'''<sub>2</sub>, ..., '''b'''<sub>''k''</sub>}}. :# Use elementary row operations to put ''A'' into reduced row echelon form. :# Let {{nowrap| '''c'''<sub>1</sub>, '''c'''<sub>2</sub>, ..., '''c'''<sub>''n''</sub> }} be the columns of the reduced row echelon form. For each column without a pivot, write an equation expressing the column as a linear combination of the columns with pivots. :# This results in a homogeneous system of ''n'' β ''k'' linear equations involving the variables '''c'''<sub>1</sub>,...,'''c'''<sub>''n''</sub>. The {{nowrap| (''n'' β ''k'') Γ ''n''}} matrix corresponding to this system is the desired matrix with nullspace ''S''. ; Example :If the reduced row echelon form of ''A'' is ::<math>\left[ \begin{alignat}{6} 1 && 0 && -3 && 0 && 2 && 0 \\ 0 && 1 && 5 && 0 && -1 && 4 \\ 0 && 0 && 0 && 1 && 7 && -9 \\ 0 && \;\;\;\;\;0 && \;\;\;\;\;0 && \;\;\;\;\;0 && \;\;\;\;\;0 && \;\;\;\;\;0 \end{alignat} \,\right] </math> :then the column vectors {{nowrap| '''c'''<sub>1</sub>, ..., '''c'''<sub>6</sub>}} satisfy the equations ::<math> \begin{alignat}{1} \mathbf{c}_3 &= -3\mathbf{c}_1 + 5\mathbf{c}_2 \\ \mathbf{c}_5 &= 2\mathbf{c}_1 - \mathbf{c}_2 + 7\mathbf{c}_4 \\ \mathbf{c}_6 &= 4\mathbf{c}_2 - 9\mathbf{c}_4 \end{alignat}</math> :It follows that the row vectors of ''A'' satisfy the equations ::<math> \begin{alignat}{1} x_3 &= -3x_1 + 5x_2 \\ x_5 &= 2x_1 - x_2 + 7x_4 \\ x_6 &= 4x_2 - 9x_4. \end{alignat}</math> :In particular, the row vectors of ''A'' are a basis for the null space of the corresponding matrix.
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