\(
\newcommand{\cat}[1] {\mathrm{#1}}
\newcommand{\catobj}[1] {\operatorname{Obj}(\mathrm{#1})}
\newcommand{\cathom}[1] {\operatorname{Hom}_{\cat{#1}}}
\newcommand{\multiBetaReduction}[0] {\twoheadrightarrow_{\beta}}
\newcommand{\betaReduction}[0] {\rightarrow_{\beta}}
\newcommand{\betaEq}[0] {=_{\beta}}
\newcommand{\string}[1] {\texttt{"}\mathtt{#1}\texttt{"}}
\newcommand{\symbolq}[1] {\texttt{`}\mathtt{#1}\texttt{'}}
\newcommand{\groupMul}[1] { \cdot_{\small{#1}}}
\newcommand{\groupAdd}[1] { +_{\small{#1}}}
\newcommand{\inv}[1] {#1^{-1} }
\newcommand{\bm}[1] { \boldsymbol{#1} }
\require{physics}
\require{ams}
\require{mathtools}
\)
Math and science::Algebra
Transpose characterized
Instead of thinking of the matrix transpose as the swapping of rows and
columns, there is a more meaningful characterization:
Matrix transpose
Let \( A \) be an \( m \times n \) matrix and \( x \in \mathbb{R}^n \)
and \( y \in \mathbb{R}^m \) be column vectors. Then the transpose of \( A \),
denoted \( A^{T} \) is the matrix such that the following holds:
[\[
\; ? \quad = \quad ? \;
\]]