RREF([A|I]) = [I|inv(A)] iff A is invertible
Dependencies:
- RREF is unique
- Inverse of a matrix
- Product of stacked matrices
- Row equivalence matrix
- Full-rank square matrix is invertible
- Full-rank square matrix in RREF is the identity matrix
Let $A$ be an $n$ by $n$ matrix. Then $\operatorname{RREF}([A|I]) = [I|B]$ iff $AB = BA = I$.
Proof
Since $\operatorname{RREF}([A|I])$ is row-equivalent to $[A|I]$, $\operatorname{RREF}([A|I]) = R[A|I] = [RA|R]$.
Since $[RA|R]$ is in RREF, $RA$ is also in RREF.
$A$ is not invertible implies $\operatorname{rank}(A) \neq n$ implies $RA$ has less than $n$ non-zero rows implies $RA \neq I \Rightarrow \operatorname{RREF}([A|I]) \neq [I|B]$ for any $B$.
$A$ is invertible implies $\operatorname{rank}(A) = n$ implies $\operatorname{RREF}(A) = RA = I$ implies $\operatorname{RREF}([A|I]) = [RA|R] = [I|R]$. Since $RA = I$ and $A$ is invertible, $RA = AR = I$.
Dependency for: None
Info:
- Depth: 10
- Number of transitive dependencies: 39
Transitive dependencies:
- /linear-algebra/vector-spaces/condition-for-subspace
- /linear-algebra/matrices/gauss-jordan-algo
- /sets-and-relations/equivalence-relation
- Group
- Ring
- Polynomial
- Integral Domain
- Comparing coefficients of a polynomial with disjoint variables
- Field
- Vector Space
- Linear independence
- Span
- Semiring
- Matrix
- Stacking
- System of linear equations
- Product of stacked matrices
- Matrix multiplication is associative
- Reduced Row Echelon Form (RREF)
- Matrices over a field form a vector space
- Row space
- Elementary row operation
- Every elementary row operation has a unique inverse
- Row equivalence of matrices
- Row equivalent matrices have the same row space
- RREF is unique
- Identity matrix
- Inverse of a matrix
- Inverse of product
- Elementary row operation is matrix pre-multiplication
- Row equivalence matrix
- Equations with row equivalent matrices have the same solution set
- Rank of a matrix
- Basis of a vector space
- Linearly independent set is not bigger than a span
- Homogeneous linear equations with more variables than equations
- Rank of a homogenous system of linear equations
- Full-rank square matrix in RREF is the identity matrix
- Full-rank square matrix is invertible