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

From Machinelearning
No edit summary
No edit summary
Line 21: Line 21:
|-
|-
| <math>\operatorname{null} A = \{0\}</math> || <math>\operatorname{range} A = \mathbf R^m</math> ||
| <math>\operatorname{null} A = \{0\}</math> || <math>\operatorname{range} A = \mathbf R^m</math> ||
|-
| <math>\dim \operatorname{null} A = 0</math> || <math>\dim \operatorname{null} A = n-m</math> ||
|-
| <math>\dim \operatorname{range} A = n</math> || <math>\dim \operatorname{range} A = m</math> ||
|}
|}

Revision as of 01:15, 14 August 2019

Let A be an m×n matrix.

Injective Surjective Bijective
A is injective A is surjective A is bijective
A has a left inverse A has a right inverse A has both a left and right inverse (which turn out to be the same)
for each b, the equation Ax=b has at most one solution (in other words, a solution may not exist, but if it does, it is unique) for each b, the equation Ax=b has at least one solution (in other words, a solution always exists, but it may not be unique) for each b, the equation Ax=b has exactly one (in other words, a solution always exists, and it is unique)
the columns of A are linearly independent the columns of A span Rm the columns of A are a basis of Rm
the rows of A span Rn the rows of A are linearly independent the rows of A are a basis of Rn
det(A)0
A has rank n A has rank m A has rank n=m
in the row echelon form of A, there is a pivot in every column in the row echelon form of A, there is a pivot in every row in the row echelon form of A, there is a pivot in every column and every row
nullA={0} rangeA=Rm
dimnullA=0 dimnullA=nm
dimrangeA=n dimrangeA=m