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2023-04-17 11:34:36 -07:00
\section{Matrices}
\theorem{}<thebigtheorem>
Any linear map $T: \mathbb{R}^n \to \mathbb{R}^m$ can be written as an $n \times m$ matrix. \\
Conversely, every $n \times m$ matrix represents a linear map $T: \mathbb{R}^n \to \mathbb{R}^m$ \\
\vspace{2mm}
In other words, \textbf{matrices are linear transformations}. \\
The next two problems provide a proof.
\problem{}<prooffwd>
Let $A$ be an $m \times n$ matrix, and $v$ an $m \times 1$ vector. \\
Show that the map $T: \mathbb{R}^n \to \mathbb{R}^m$ defined by $T(v) = Av$ is linear. \\
\vfill
\problem{}<proofback>
Show that any linear transformation $T: \mathbb{R}^n \to \mathbb{R}^m$ can be written as $T(v) = Av$.
\vfill
\pagebreak
\problem{}
Consider the transformation $D: \mathbb{P}^3 \to \mathbb{P}^2$ defined by $D(p) = \frac{d}{dx}(p)$. \\
Find a matrix that corresponds to $D$. \\
\hint{$\mathbb{P}^3$ and $\mathbb{R}^4$ are isomorphic. How so?}
\vfill
\pagebreak