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Linear subspace
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===Basis for a null space=== :'''Input''' An ''m'' Γ ''n'' matrix ''A''. :'''Output''' A basis for the null space of ''A'' :# Use elementary row operations to put ''A'' in reduced row echelon form. :# Using the reduced row echelon form, determine which of the variables {{nowrap| ''x''<sub>1</sub>, ''x''<sub>2</sub>, ..., ''x<sub>n</sub>''}} are free. Write equations for the dependent variables in terms of the free variables. :# For each free variable ''x<sub>i</sub>'', choose a vector in the null space for which {{nowrap|1= ''x<sub>i</sub>'' = 1}} and the remaining free variables are zero. The resulting collection of vectors is a basis for the null space of ''A''. See the article on null space for an [[Kernel (matrix)#Basis|example]].
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