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Discovery guide 44.1 Discovery guide

Discovery 44.1.

Let \funcdef{T}{\poly_3(\R)}{\matrixring_2(\R)} and \funcdef{S}{\matrixring_2(\R)}{\R^1} be defined by

\begin{align*} T(a x^3 + b x^2 + c x + d) \amp = \begin{bmatrix} a + b \amp b + c \\ c + d \amp d - a \end{bmatrix} \text{,} \amp S\left(\begin{bmatrix} a \amp b \\ c \amp d \end{bmatrix}\right) \amp = a + d\text{.} \end{align*}
(b)

What are the domain and the codomain of the composite transformation S \circ T\text{?}

(c)

Compute a general input-output formula for S \circ T similar to the formulas for S and T defined above.

Discovery 44.2.

Verify that if \funcdef{T}{U}{V} and \funcdef{S}{V}{W} are linear, then \funcdef{S \circ T}{U}{W} is also linear.

Discovery 44.3.

Consider matrix transformations \funcdef{T_A}{\R^3}{\R^2} and \funcdef{S_B}{\R^2}{\R^4} corresponding to matrices

\begin{align*} A \amp = \left[\begin{array}{rcr} 1 \amp 2 \amp -1 \\ -1 \amp 3 \amp 1 \end{array}\right] \text{,} \amp B \amp = \left[\begin{array}{rcr} 1 \amp 1 \\ 2 \amp -2 \\ -3 \amp 4 \\ 0 \amp 5 \end{array}\right]\text{.} \end{align*}
(a)

How should an image vector (S_B \circ T_A)(\uvec{x}) be computed?

(b)

Corollary 42.5.4 says that every transformation \R^3 \to \R^4 is a matrix transformation. Based on the pattern in Task a, what is the matrix of the composite transformation S_B \circ T_A\text{?}

(c)

Describe the pattern in words: The standard matrix of a composition of matrix transformations is .

Describe the pattern in symbols: For \funcdef{T}{\R^n}{\R^m} and \funcdef{S}{\R^m}{\R^\ell}\text{,} \stdmatrixOf{S \circ T} = \underline{\hspace{4.545454545454546em}} \text{.}

Notation.

In analogy with the pattern of Discovery 44.3.c, we will use multiplication notation S T in place of composite function notation S \circ T for all linear transformations.

Discovery 44.4.

Let \uppermatring_2(\R) represent the space of 2 \times 2 upper triangular matrices, and let

\begin{align*} \amp \funcdef{T}{\poly_2(\R)}{\matrixring_2(\R)} \text{,} \amp \amp \funcdef{S}{\uppermatring_2(\R)}{\poly_2(\R)} \end{align*}

be defined by

\begin{gather*} T(a x^2 + b x + c) = \begin{bmatrix} a + b \amp b + c \\ 0 \amp c \end{bmatrix} \text{,}\\ S\left(\begin{bmatrix} a \amp b \\ 0 \amp c \end{bmatrix}\right) = (a - b + c) x^2 + (b - c) x + c\text{.} \end{gather*}
(a)

Compute an input-output formula similar to those above for the composite transformation S T\text{.}

(b)

Based on your result in Task a, what should we call S relative to T\text{?}

(c)

Does it work the other way? Compute an input-output formula for the composite transformation T S\text{.}

(d)

Would Task c have worked if S used the same output formula, but was defined as a transformation \funcdef{S}{\matrixring_2(\R)}{\poly_2(\R)}\text{?} Say, as

\begin{equation*} S\left(\begin{bmatrix} a \amp b \\ z \amp c \end{bmatrix}\right) = (a - b + c) x^2 + (b - c) x + c\text{?} \end{equation*}
(e)

Describe the pattern: If T is an invertible linear transformation, the domain of \inv{T} should be .

Discovery 44.5.

Consider \funcdef{T}{\poly_2(\R)}{\matrixring_2(\R)} defined by

\begin{equation*} T(a x^2 + b x + c) = \begin{bmatrix} 0 \amp a + b + c \\ 0 \amp 0 \end{bmatrix} \text{.} \end{equation*}
(b)

Is T invertible? To decide, try to define an input-output formula for \funcdef{\inv{T}}{D}{\poly_2(\R)} (where D is the domain for \inv{T} that you identified in Task a) so that your formula β€œreverses” T\text{,} just as S reversed the transformation T in Discovery 44.4.

(c)

Compute the image vectors T(x^2) and T(1)\text{.}

What do the results say about the potential invertibility of T\text{?}

(d)

Compute the image vector T(x^2 - 1) (and compare with Task c).

What does the result say about the potential invertibility of T\text{?}

(e)

Describe the pattern: If a transformation \funcdef{T}{V}{W} is invertible, then the kernel of T must be .

So \nullity T must be and then \rank T must be .

Hint

For \(\rank T\text{,}\) consider the Dimension Theorem.

Discovery 44.6.
(a)

Based on Discovery 44.5.e, could a transformation \funcdef{T}{\matrixring_5(\R)}{\R^5} be invertible?

(b)

Describe the pattern: If a transformation \funcdef{T}{V}{W} is invertible, then \dim V and \dim W must satisfy: .

Discovery 44.7.

Consider matrix transformation \funcdef{T_A}{\R^3}{\R^3} corresponding to matrix

\begin{equation*} A = \left[\begin{array}{ccr} 1 \amp 2 \amp -1 \\ 0 \amp 3 \amp 1 \\ 0 \amp 1 \amp 2 \end{array}\right]\text{.} \end{equation*}
(b)

Corollary 42.5.4 says that every transformation \R^3 \to \R^3 is a matrix transformation. Based on the calculation patterns from Discovery 44.4, we should have (\inv{T}_A T_A)(\uvec{x}) = \uvec{x} for every \uvec{x} in \R^3\text{.}

So what matrix should correspond to \inv{T}_A\text{?}

(c)

Describe the pattern in words: The standard matrix of the inverse of a (square) matrix transformation is .

Describe the pattern in symbols: For invertible \funcdef{T}{\R^n}{\R^n}\text{,} \stdmatrixOf{\inv{T}} = \underline{\hspace{2.272727272727273em}}\text{.}

An isomorphism is an invertible linear transformation whose image is the whole codomain space.

Discovery 44.8.

In each of the following, provide a specific example of an isomorphism \funcdef{T}{V}{\R^n} for a specific value of n\text{.} In each case, are there multiple values of n for which this is achievable?

(a)

V = \matrixring_2(\R)\text{.}

(b)

V = \uppermatring_2(\R)\text{.}

(c)

V = \poly_3(\R)\text{.}

(d)

V = \poly_2(\R)\text{.}

(e)

V = \Span \{ \sin x, \cos x, e^x \} (as a subspace of F(\R)).

It's likely that all of your examples followed the same simple pattern of turning the inputs into outputs β€” what previous course concept were you using (even if unknowingly)?