$ \newcommand{\braket}[1]{\langle #1 \rangle} \newcommand{\abs}[2][]{\left\lvert#2\right\rvert_{\text{#1}}} \newcommand{\ket}[1]{\left\lvert#1 \right.\rangle} \newcommand{\bra}[1]{\langle\left. #1\right\rvert} \newcommand{\braket}[1]{\langle #1 \rangle} \newcommand{\dd}{\text{d}} \newcommand{\dv}[2]{\frac{\dd #1}{\dd #2}} \newcommand{\pdv}[2]{\frac{\partial}{\partial #1}} $
FullPage
definition
concepts
used in
hypothesis
results
Let $A$ be $n\times n$. $A$ is left invertiable if there exists some $n\times n$ matrix $B$ such that $BA=I_n$, where $B$ is the left inverse.
$A$ is right invertaible if there exists some $n\times n$ matrix $C$ such that $AC=I_n$, where $C$ is the right inverse.
If both the left and right inverse exists, then $A$ is invertible if there exists some $B$ such that $AB=I_n=BA$. We usually denote the inverse with $A^{-1}$ such that $A^{-1}A=AA^{-1}=I$.

Concepts

For finite square matrices, if $A$ is left invertible then it is also right invertible. However if $A$ is an infinite square matrix, then it may only have a left or right inverse.
Inverses can be conputed with block matrices. Form an augmnted matrix $[A|I_n]$, then row reduce until the left hand side is in row reduced echelon form and we get $[R|P]$. Then $A$ is invertible if and only if $R=I_n$ and $P=A^{-1}$

Used In

Coming soon

Hypothesis

Coming soon

Results

Coming soon
Let $A$ be $n\times n$. $A$ is left invertiable if there exists some $n\times n$ matrix $B$ such that $BA=I_n$, where $B$ is the left inverse.
$A$ is right invertaible if there exists some $n\times n$ matrix $C$ such that $AC=I_n$, where $C$ is the right inverse.
If both the left and right inverse exists, then $A$ is invertible if there exists some $B$ such that $AB=I_n=BA$. We usually denote the inverse with $A^{-1}$ such that $A^{-1}A=AA^{-1}=I$.

Concepts

For finite square matrices, if $A$ is left invertible then it is also right invertible. However if $A$ is an infinite square matrix, then it may only have a left or right inverse.
Inverses can be conputed with block matrices. Form an augmnted matrix $[A|I_n]$, then row reduce until the left hand side is in row reduced echelon form and we get $[R|P]$. Then $A$ is invertible if and only if $R=I_n$ and $P=A^{-1}$

Used In

Coming soon

Hypothesis

Coming soon

Results

Coming soon
FullPage
definition
concepts
used in
hypothesis
results
FullPage
definition
concepts
used in
hypothesis
results
Let $A$ be $n\times n$. $A$ is left invertiable if there exists some $n\times n$ matrix $B$ such that $BA=I_n$, where $B$ is the left inverse.
$A$ is right invertaible if there exists some $n\times n$ matrix $C$ such that $AC=I_n$, where $C$ is the right inverse.
If both the left and right inverse exists, then $A$ is invertible if there exists some $B$ such that $AB=I_n=BA$. We usually denote the inverse with $A^{-1}$ such that $A^{-1}A=AA^{-1}=I$.

Concepts

For finite square matrices, if $A$ is left invertible then it is also right invertible. However if $A$ is an infinite square matrix, then it may only have a left or right inverse.
Inverses can be conputed with block matrices. Form an augmnted matrix $[A|I_n]$, then row reduce until the left hand side is in row reduced echelon form and we get $[R|P]$. Then $A$ is invertible if and only if $R=I_n$ and $P=A^{-1}$

Used In

Coming soon

Hypothesis

Coming soon

Results

Coming soon
Let $A$ be $n\times n$. $A$ is left invertiable if there exists some $n\times n$ matrix $B$ such that $BA=I_n$, where $B$ is the left inverse.
$A$ is right invertaible if there exists some $n\times n$ matrix $C$ such that $AC=I_n$, where $C$ is the right inverse.
If both the left and right inverse exists, then $A$ is invertible if there exists some $B$ such that $AB=I_n=BA$. We usually denote the inverse with $A^{-1}$ such that $A^{-1}A=AA^{-1}=I$.

Concepts

For finite square matrices, if $A$ is left invertible then it is also right invertible. However if $A$ is an infinite square matrix, then it may only have a left or right inverse.
Inverses can be conputed with block matrices. Form an augmnted matrix $[A|I_n]$, then row reduce until the left hand side is in row reduced echelon form and we get $[R|P]$. Then $A$ is invertible if and only if $R=I_n$ and $P=A^{-1}$

Used In

Coming soon

Hypothesis

Coming soon

Results

Coming soon
FullPage
definition
concepts
used in
hypothesis
results