Types: 14.1 The Invertible Matrix Theorem Part 1, 14.3 The Invertible Matrix Theorem Part 3
Examples: N/A
Constructions: N/A
Generalizations: N/A

Properties: N/A
Sufficiencies: N/A
Questions: N/A

The Invertible Matrix Theorem: Part 2

Let ARn×n be a square matrix with real entries. Then, the following statements are equivalent . In other words, for a given matrix A, the statements are either all true or all false.
13. The determinant of A is not zero: set (A)0.
14. The columns of A form a basis for Rn.
15. The column space of A is Rn:Col(A)=Rn.
16. The dimension of the column space of A is n:dim(Col(A))=n
17. The rank of A is n:rank(A)=n.
18. The dull space of A is {0}:Null(A)={0}
19. The dimension of the null space of A is 0:dim(Null(A))=0.
20. The orthogonal complement of the column space of A is {0}. We can write this as

(Col(A))={0}.
  1. The orthogonal complement of the null space of A is Rn: We write this
(Null(A))=Rn.
  1. The row space of A is Rn:Row(A)=Rn.