User:IssaRice/Linear algebra/Equivalent statements for injectivity and surjectivity: Difference between revisions

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| the columns of <math>A</math> are linearly independent || the columns of <math>A</math> span <math>\mathbf R^m</math> || the columns of <math>A</math> are a basis of <math>\mathbf R^m</math>
| the columns of <math>A</math> are linearly independent || the columns of <math>A</math> span <math>\mathbf R^m</math> || the columns of <math>A</math> are a basis of <math>\mathbf R^m</math>
|-
|-
| the rows of <math>A</math> span <math>\mathbf R^m</math> || the rows of <math>A</math> are linearly independent || the rows of <math>A</math> are a basis of <math>\mathbf R^m</math>
| the rows of <math>A</math> span <math>\mathbf R^n</math> || the rows of <math>A</math> are linearly independent || the rows of <math>A</math> are a basis of <math>\mathbf R^n</math>
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|-
| || || <math>\det(A) \ne 0</math>
| || || <math>\det(A) \ne 0</math>

Revision as of 01:12, 14 August 2019

Let be an matrix.

Injective Surjective Bijective
is injective is surjective is bijective
has a left inverse has a right inverse has both a left and right inverse (which turn out to be the same)
for each , the equation has at most one solution (in other words, a solution may not exist, but if it does, it is unique) for each , the equation has at least one solution (in other words, a solution always exists, but it may not be unique) for each , the equation has exactly one (in other words, a solution always exists, and it is unique)
the columns of are linearly independent the columns of span the columns of are a basis of
the rows of span the rows of are linearly independent the rows of are a basis of
has rank has rank has rank
in the row echelon form of , there is a pivot in every column in the row echelon form of , there is a pivot in every row in the row echelon form of , there is a pivot in every column and every row