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@ -16,7 +16,7 @@ Draw a $3 \times 2$ matrix.
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\vfill
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\definition{Matrices as Transformations}
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\definition{}
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We can define the \say{product\footnotemark{}} of a matrix $A$ and a vector $v$:
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\footnotetext{This is an uncommon word to use in this context. You will soon see why.}
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$$
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@ -57,7 +57,7 @@ $$
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Naturally, a vector can only be multiplied by a matrix if the number of rows in the vector equals the number of columns in the matrix.
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\problem{}
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Compute the following \say{product}:
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Compute the following:
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$$
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\begin{bmatrix}
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@ -186,13 +186,27 @@ Before you start, answer the following questions:
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\problem{}<proofback>
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Show that any linear transformation can be written as a matrix.
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\vfill
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\pagebreak
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\problem{}
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Show that $\mathbb{P}^n$, the set of polynomials of degree $n$, is a vector space.
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\vfill
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\problem{}
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Consider the transformation $D: \mathbb{P}^3 \to \mathbb{P}^2$ defined by $D(p) = \frac{d}{dx}p$. \\
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Find a matrix that corresponds to $D$. \\
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\hint{$\mathbb{P}^3$ and $\mathbb{R}^4$ are isomorphic. How solutions?}
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\vfill
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\pagebreak
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\problem{}
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Does \ref{thebigtheorem} hold in arbitrary vector spaces? \\
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Repeat \ref{prooffwd} and \ref{proofback} using only axioms.
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Repeat \ref{prooffwd} and \ref{proofback} using only axioms, without assuming that we're working in $\mathbb{R}^n$.
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\vfill
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\pagebreak
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