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Invertible Matrix Theorem

If An×nA_{n \times n} is a square matrix, then the following statements are equivalent:
  • AA is invertible (non-singular)
  • ATA^T is invertible
  • rank(A)=n{\rm rank}(A) = n (AA has full rank)
  • The RREF of An×nA_{n \times n} is InI_n
  • AA is a product of elementary matrices.
  • The linear system Ax=bA\vec{x}=\vec{b} has a unique solution
  • The homogenous system Ax=0A\vec{x}=\vec{0} has only the trivial solution
  • det(A)0{\rm det}(A)\ne0 (don't worry if you haven't seen this yet!)
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Example: Invertible Matrix Theorem

Consider the linear system 𝐴𝑥=𝑏𝐴𝑥⃗=\vec{𝑏} where A5×5A_{5 \times 5} is an invertible matrix. What is rank([𝐴  b]){\rm rank}([𝐴\ |\ \vec{b}])?

Since AA is invertible, AA has full rank: rank(A)=5{\rm rank}(A)=5.
Since AA is full rank, the RREF of AA is I5I_5 and there is no room left for any more leading 1s.
Therefore, the augmented matrix has the same rank as AA: rank(A)=rank([A  b])=5{\rm rank}(A)={\rm rank}([A \ |\ \vec b])=\boxed{5}.
Suppose that M3×3M_{3 \times 3} is a matrix that can be row reduced into I3I_3.
Which of the following statements are always true? [Select all that apply]

Extra Practice