Precalculus Module 2, Topic B, Lesson 9: Teacher

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Lesson 9
NYS COMMON CORE MATHEMATICS CURRICULUM
M2
PRECALCULUS AND ADVANCED TOPICS
Lesson 9: Composition of Linear Transformations
Student Outcomes

Students use technology to perform compositions of linear transformations in ℝ3 .
Lesson Notes
In Lesson 8, students discovered that if they compose two linear transformations in the plane, 𝐿𝐴 and 𝐿𝐡 , represented by
matrices 𝐴 and 𝐡, respectively, then the resulting transformation can be produced using a single matrix 𝐴𝐡. In this
lesson, this result from transformations in the plane is extended to transformations in three-dimensional space, ℝ3 . This
lesson was designed to be implemented using the GeoGebra applet TransformCubes
(http://eureka-math.org/G12M2L9/geogebra-TransformCubes), which allows students to visualize the transformation of
the cube.
Classwork
Opening Exercise (10 minutes)
The Opening Exercise reviews the discovery from the Problem Set in Lesson 7 that the
matrix of a transformation in ℝ3 is determined by the images of the three points (1,0,0),
(0,1,0), and (0,0,1). This fact is needed to construct matrices of transformations in this
lesson before composing them. Students may question what is meant by
counterclockwise rotation in space; if this happens, let them know that a rotation about
the 𝑧-axis is considered to be a counterclockwise rotation if it rotates the π‘₯𝑦-plane
counterclockwise when placed in its standard orientation as shown to the right.
Students should work these exercises with pencil and paper.
Opening Exercise
Recall from Problem 1, part (d), of the Problem Set of Lesson 7 that if you know what a linear
transformation does to the three points (𝟏, 𝟎, 𝟎), (𝟎, 𝟏, 𝟎), and (𝟎, 𝟎, 𝟏), you can find the matrix
of the transformation. How do the images of these three points lead to the matrix of the
transformation?
a.
Suppose that a linear transformation π‘³πŸ rotates the unit cube by πŸ—πŸŽ°
counterclockwise about the 𝒛-axis. Find the matrix π‘¨πŸ of the transformation π‘³πŸ .
Since this transformation rotates by πŸ—πŸŽ° counterclockwise in the π’™π’š-plane, a vector
along the positive 𝒙-axis will be transformed to lie along the positive π’š-axis, a vector
along the positive π’š-axis will be transformed to lie along the negative 𝒙-axis, and a
vector along the 𝒛-axis will be left alone. Thus,
Scaffolding:
Encourage struggling students
to draw the image of a cube
before and after the
transformation to find the
images of the points (1,0,0),
(0,1,0), and (0,0,1) in space.
𝟏
𝟎
𝟎
−𝟏
𝟎
𝟎
π‘³πŸ ([𝟎]) = [𝟏], π‘³πŸ ([𝟏]) = [ 𝟎 ], and π‘³πŸ ([𝟎]) = [𝟎],
𝟎
𝟎
𝟎
𝟎
𝟏
𝟏
𝟎 −𝟏 𝟎
so the matrix of the transformation is π‘¨πŸ = [𝟏 𝟎 𝟎].
𝟎 𝟎 𝟏
Lesson 9:
Composition of Linear Transformations
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Lesson 9
NYS COMMON CORE MATHEMATICS CURRICULUM
M2
PRECALCULUS AND ADVANCED TOPICS
b.
Suppose that a linear transformation π‘³πŸ rotates the unit cube by πŸ—πŸŽ° counterclockwise about the π’š-axis. Find
the matrix π‘¨πŸ of the transformation π‘³πŸ .
Since this transformation rotates by πŸ—πŸŽ° counterclockwise in the 𝒙𝒛-plane, a vector along the positive 𝒙-axis
will be transformed to lie along the positive 𝒛-axis, a vector along the π’š-axis will be left alone, and a vector
along the positive 𝒛-axis will be transformed to lie along the negative 𝒙-axis. Thus,
𝟏
𝟎
𝟎
𝟎
𝟎
−𝟏
π‘³πŸ ([𝟎]) = [𝟎], π‘³πŸ ([𝟏]) = [𝟏], and π‘³πŸ ([𝟎]) = [ 𝟎 ],
𝟎
𝟎
𝟎
𝟎
𝟏
𝟏
𝟎 𝟎 −𝟏
so the matrix of the transformation is π‘¨πŸ = [𝟎 𝟏 𝟎 ].
𝟏 𝟎 𝟎
c.
Suppose that a linear transformation π‘³πŸ‘ scales by 𝟐 in the 𝒙-direction, scales by πŸ‘ in the π’š-direction, and
scales by πŸ’ in the 𝒛-direction. Find the matrix π‘¨πŸ‘ of the transformation π‘³πŸ‘ .
Since this transformation scales by 𝟐 in the 𝒙-direction, by πŸ‘ in the π’š-direction, and by πŸ’ in the 𝒛-direction, a
vector along the 𝒙-axis will be multiplied by 𝟐, a vector along the π’š-axis will be multiplied by πŸ‘, and a vector
along the 𝒛-axis will be multiplied by πŸ’. Thus,
𝟏
𝟐
𝟎
𝟎
𝟎
𝟎
π‘³πŸ‘ ([𝟎]) = [𝟎], π‘³πŸ‘ ([𝟏]) = [πŸ‘], and π‘³πŸ‘ ([𝟎]) = [𝟎],
𝟎
𝟎
𝟎
𝟎
𝟏
πŸ’
𝟐 𝟎 𝟎
so the matrix of the transformation is π‘¨πŸ‘ = [𝟎 πŸ‘ 𝟎].
𝟎 𝟎 πŸ’
d.
Suppose that a linear transformation π‘³πŸ’ projects onto the π’™π’š-plane. Find the matrix π‘¨πŸ’ of the transformation
π‘³πŸ’ .
Since this transformation projects onto the π’™π’š-plane, a vector along the 𝒙-axis will be left alone, a vector
along the π’š-axis will be left alone, and a vector along the 𝒛-axis will be transformed into the zero vector.
Thus,
𝟏
𝟏
𝟎
𝟎
𝟎
𝟎
π‘³πŸ’ ([𝟎]) = [𝟎], π‘³πŸ’ ([𝟏]) = [𝟏], and π‘³πŸ’ ([𝟎]) = [𝟎],
𝟎
𝟎
𝟎
𝟎
𝟎
𝟏
𝟏 𝟎 𝟎
so the matrix of the transformation is π‘¨πŸ’ = [𝟎 𝟏 𝟎].
𝟎 𝟎 𝟎
e.
Suppose that a linear transformation π‘³πŸ“ projects onto the 𝒙𝒛-plane. Find the matrix π‘¨πŸ“ of the transformation
π‘³πŸ“ .
Since this transformation projects onto the 𝒙𝒛-plane, a vector along the 𝒙-axis will be left alone, a vector
along the π’š-axis will be transformed into the zero vector, and a vector along the 𝒛-axis will be left alone.
Thus,
𝟏
𝟏
𝟎
𝟎
𝟎
𝟎
π‘³πŸ“ ([𝟎]) = [𝟎], π‘³πŸ“ ([𝟏]) = [𝟎], and π‘³πŸ“ ([𝟎]) = [𝟎],
𝟎
𝟎
𝟎
𝟎
𝟏
𝟏
𝟏 𝟎 𝟎
so the matrix of the transformation is π‘¨πŸ“ = [𝟎 𝟎 𝟎].
𝟎 𝟎 𝟏
Lesson 9:
Composition of Linear Transformations
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Lesson 9
NYS COMMON CORE MATHEMATICS CURRICULUM
M2
PRECALCULUS AND ADVANCED TOPICS
f.
Suppose that a linear transformation π‘³πŸ” reflects across the plane with equation π’š = 𝒙. Find the matrix π‘¨πŸ” of
the transformation π‘³πŸ” .
Since this transformation reflects across the plane π’š = 𝒙, a vector along the positive 𝒙-axis will be
transformed into a vector along the positive π’š-axis with the same length, a vector along the positive π’š-axis
will be transformed into a vector along the positive 𝒙-axis, and a vector along the 𝒛-axis will be left alone.
Thus,
𝟏
𝟎
𝟎
𝟏
𝟎
𝟎
π‘³πŸ” ([𝟎]) = [𝟏], π‘³πŸ” ([𝟏]) = [𝟎], and π‘³πŸ” ([𝟎]) = [𝟎],
𝟎
𝟎
𝟎
𝟎
𝟏
𝟏
𝟎 𝟏 𝟎
so the matrix of the transformation is π‘¨πŸ” = [𝟏 𝟎 𝟎].
𝟎 𝟎 𝟏
g.
𝟎
𝟏
𝟐
𝟎
𝟎
𝟎
Suppose that a linear transformation π‘³πŸ• satisfies π‘³πŸ• ([𝟎]) = [𝟎], π‘³πŸ• ([𝟏]) = [𝟏], and π‘³πŸ• ([𝟎]) = [𝟎
]. Find
𝟏
𝟎
𝟎
𝟎
𝟎
𝟏
𝟐
the matrix π‘¨πŸ• of the transformation π‘³πŸ• . What is the geometric effect of this transformation?
𝟐 𝟎 𝟎
The matrix of this transformation is π‘¨πŸ• = [𝟎 𝟏 𝟎]. The geometric effect of π‘³πŸ• is to stretch by a factor of 𝟐
𝟏
𝟎 𝟎
in the 𝒙-direction and scale by a factor of
h.
𝟏
𝟐
𝟐
in the 𝒛-direction.
𝟏
𝟏
𝟎
−𝟏
𝟎
𝟎
Suppose that a linear transformation π‘³πŸ– satisfies π‘³πŸ– ([𝟎]) = [𝟏] , π‘³πŸ– ([𝟏]) = [ 𝟏 ], and π‘³πŸ– ([𝟎]) = [𝟎].
𝟎
𝟎
𝟎
𝟎
𝟏
𝟏
Find the matrix of the transformation π‘³πŸ– . What is the geometric effect of this transformation?
𝟏 −𝟏 𝟎
The matrix of this transformation is π‘¨πŸ– = [𝟏 𝟏 𝟎]. The geometric effect of π‘³πŸ– is to rotate by πŸ’πŸ“° in the
𝟎 𝟎 𝟏
π’™π’š-plane, to scale by √𝟐 in both the 𝒙 and π’š directions, and to not change in the 𝒛-direction.
Once students have completed the Opening Exercise with pencil and paper, allow them to use the GeoGebra applet
TransformCubes.ggb to check their work before continuing. The remaining exercises rely on the matrices 𝐴1 –𝐴8 , so
ensure that students have found the correct matrices before proceeding with the lesson.
Discussion (2 minutes)

In Lesson 8, we saw that for linear transformations in the plane, if 𝐿𝐴 is a linear transformation represented by
a 2 × 2 matrix 𝐴, and 𝐿𝐡 is a linear transformation represented by a 2 × 2 matrix 𝐡, then the 2 × 2 matrix 𝐴𝐡
is the matrix of the composition of 𝐿𝐡 followed by 𝐿𝐴 . Today we explore composition of linear transformations
in ℝ3 to see whether the same result extends to the case when 𝐴, 𝐡, and 𝐴𝐡 are 3 × 3 matrices.
Lesson 9:
Composition of Linear Transformations
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Lesson 9
NYS COMMON CORE MATHEMATICS CURRICULUM
M2
PRECALCULUS AND ADVANCED TOPICS
Exploratory Challenge 1 (25 minutes)
In the Exploratory Challenge, students predict the geometric effect of composing pairs of transformations from the
Opening Exercise and then check their predictions with the GeoGebra applet TransformCubes.ggb.
Exploratory Challenge 1
Transformations π‘³πŸ –π‘³πŸ– refer to the linear transformations from the Opening Exercise. For each pair:
MP.3
a.
i.
Make a conjecture to predict the geometric effect of performing the two transformations in the order
specified.
ii.
Find the product of the corresponding matrices in the order that corresponds to the indicated order of
composition. Remember that if we perform a transformation 𝑳𝑩 with matrix 𝑩 and then 𝑳𝑨 with
matrix 𝑨, the matrix that corresponds to the composition 𝑳𝑨 ∘ 𝑳𝑩 is 𝑨𝑩. That is, 𝑳𝑩 is applied first, but
matrix 𝑩 is written second.
iii.
Use the GeoGebra applet TransformCubes.ggb to draw the image of the unit cube under the
transformation induced by the matrix product in part (ii). Was your conjecture in part (i) correct?
Perform π‘³πŸ” and then π‘³πŸ” .
i.
ii.
iii.
b.
Since π‘³πŸ” reflects across the plane through π’š = 𝒙 that is perpendicular to the π’™π’š-plane, performing π‘³πŸ”
twice in succession will result in the identity transformation.
𝟎 𝟏 𝟎
𝟎 𝟏 𝟎
𝟏 𝟎 𝟎
π‘¨πŸ” ⋅ π‘¨πŸ” = [𝟏 𝟎 𝟎] ⋅ [𝟏 𝟎 𝟎] = [𝟎 𝟏 𝟎]. Since π‘¨πŸ” ⋅ π‘¨πŸ” is the identity matrix, we know that
𝟎 𝟎 𝟏
𝟎 𝟎 𝟏
𝟎 𝟎 𝟏
π‘³πŸ” ∘ π‘³πŸ” is the identity transformation.
The conjecture was correct.
Perform π‘³πŸ and then π‘³πŸ .
i.
ii.
iii.
Sample student response: Since π‘³πŸ rotates πŸ—πŸŽ° about the 𝒛-axis and π‘³πŸ rotates πŸ—πŸŽ° about the π’š-axis,
the composition π‘³πŸ ∘ π‘³πŸ should rotate πŸπŸ–πŸŽ° about the line π’š = −𝒙 in the π’™π’š-plane.
𝟎 𝟎 −𝟏
𝟎 −𝟏 𝟎
𝟎 𝟎 −𝟏
π‘¨πŸ ⋅ π‘¨πŸ = [𝟎 𝟏 𝟎 ] ⋅ [𝟏 𝟎 𝟎] = [𝟏 𝟎
𝟎]
𝟏 𝟎 𝟎
𝟎 𝟎 𝟏
𝟎 −𝟏 𝟎
The conjecture in part (i) is not correct. While it appears that
the composition π‘³πŸ ∘ π‘³πŸ is a rotation by πŸπŸ–πŸŽ° about the line
π’š = −𝒙, it is not because, for example, point (𝟎, 𝟏, 𝟎) is
transformed to point (𝟎, 𝟎, −𝟏) and does not remain on the
π’š-axis after the transformation. Thus, this cannot be a
rotation around the π’š-axis.
Lesson 9:
Composition of Linear Transformations
This work is derived from Eureka Math ™ and licensed by Great Minds. ©2015 Great Minds. eureka-math.org
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NYS COMMON CORE MATHEMATICS CURRICULUM
Lesson 9
M2
PRECALCULUS AND ADVANCED TOPICS
c.
Perform π‘³πŸ’ and then π‘³πŸ“ .
i.
ii.
iii.
d.
𝟏 𝟎 𝟎
𝟏 𝟎 𝟎
𝟏 𝟎 𝟎
π‘¨πŸ“ ⋅ π‘¨πŸ’ = [𝟎 𝟎 𝟎] ⋅ [𝟎 𝟏 𝟎] = [𝟎 𝟎 𝟎]
𝟎 𝟎 𝟏
𝟎 𝟎 𝟎
𝟎 𝟎 𝟎
The conjecture in part (i) is correct. The cube is first
transformed to a square in the π’™π’š-plane and then
transformed onto a segment on the 𝒙-axis.
Perform π‘³πŸ’ and then π‘³πŸ‘ .
i.
ii.
iii.
e.
Since π‘³πŸ’ projects onto the π’™π’š-plane and π‘³πŸ“ projects onto the 𝒙𝒛-plane, the composition π‘³πŸ“ ∘ π‘³πŸ’ will
project onto the 𝒙-axis.
Since π‘³πŸ’ projects onto the π’™π’š-plane and π‘³πŸ‘ scales in the 𝒙, π’š, and 𝒛 directions, the composition π‘³πŸ‘ ∘ π‘³πŸ’
will project onto the π’™π’š-plane and scale in the 𝒙 and π’š directions.
𝟐 𝟎 𝟎
𝟏 𝟎 𝟎
𝟐 𝟎 𝟎
π‘¨πŸ‘ ⋅ π‘¨πŸ’ = [𝟎 πŸ‘ 𝟎] ⋅ [𝟎 𝟏 𝟎] = [𝟎 πŸ‘ 𝟎]
𝟎 𝟎 πŸ’
𝟎 𝟎 𝟎
𝟎 𝟎 𝟎
The conjecture in part (i) is correct.
Perform π‘³πŸ‘ and then π‘³πŸ• .
i.
Since π‘³πŸ‘ scales in the 𝒙, π’š, and 𝒛 directions and so does π‘³πŸ• , the composition will be a transformation
that also scales in all three directions but with different scale factors.
ii.
𝟐 𝟎 𝟎
𝟐 𝟎 𝟎
πŸ’ 𝟎 𝟎
π‘¨πŸ• ⋅ π‘¨πŸ‘ = [𝟎 𝟏 𝟎] ⋅ [𝟎 πŸ‘ 𝟎] = [𝟎 πŸ‘ 𝟎]
𝟏
𝟎 𝟎
𝟎 𝟎 πŸ’
𝟎 𝟎 𝟐
𝟐
iii.
The conjecture from (i) is correct.
Lesson 9:
Composition of Linear Transformations
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NYS COMMON CORE MATHEMATICS CURRICULUM
Lesson 9
M2
PRECALCULUS AND ADVANCED TOPICS
f.
Perform π‘³πŸ– and then π‘³πŸ’ .
i.
ii.
iii.
g.
𝟏 𝟎 𝟎
𝟏 −𝟏 𝟎
𝟏 −𝟏 𝟎
π‘¨πŸ’ ⋅ π‘¨πŸ– = [𝟎 𝟏 𝟎] ⋅ [𝟏 𝟏 𝟎] = [𝟏 𝟏 𝟎]
𝟎 𝟎 𝟎
𝟎 𝟎 𝟏
𝟎 𝟎 𝟎
The conjecture from part (i) is correct.
Perform π‘³πŸ’ and then π‘³πŸ” .
i.
ii.
iii.
h.
Transformation π‘³πŸ– rotates the unit cube by πŸ’πŸ“° about the 𝒛-axis and stretches by a factor of √𝟐 in both
the 𝒙 and π’š directions, while π‘³πŸ’ projects the image onto the π’™π’š-plane. The composition will transform
the unit cube into a larger square that has been rotated πŸ’πŸ“° in the π’™π’š-plane.
Transformation π‘³πŸ’ projects onto the π’™π’š-plane, and transformation π‘³πŸ” reflects across the plane through
the line π’š = 𝒙 in the π’™π’š-plane and is perpendicular to the π’™π’š-plane, so the composition π‘³πŸ” ∘ π‘³πŸ’ will
appear to be the reflection in the π’™π’š-plane across the line π’š = 𝒙.
𝟎 𝟏 𝟎
𝟏 𝟎 𝟎
𝟎 𝟏 𝟎
π‘¨πŸ” ⋅ π‘¨πŸ’ = [𝟏 𝟎 𝟎] ⋅ [𝟎 𝟏 𝟎] = [𝟏 𝟎 𝟎]
𝟎 𝟎 𝟏
𝟎 𝟎 𝟎
𝟎 𝟎 𝟎
The conjecture in part (i) is correct.
Perform π‘³πŸ and then π‘³πŸ• .
i.
Since π‘³πŸ rotates πŸ—πŸŽ° around the π’š-axis and π‘³πŸ• scales in the 𝒙 and 𝒛 directions, the composition π‘³πŸ• ∘ π‘³πŸ
will rotate and scale simultaneously.
ii.
𝟐 𝟎 𝟎
𝟎 𝟎 −𝟐
𝟎 𝟎 −𝟏
π‘¨πŸ• ⋅ π‘¨πŸ = [𝟎 𝟏 𝟎] ⋅ [𝟎 𝟏 𝟎 ] = [𝟎 𝟏 𝟎 ]
𝟏
𝟏
𝟎 𝟎
𝟎 𝟎
𝟏 𝟎 𝟎
𝟐
𝟐
iii.
The conjecture in part (i) is correct.
Lesson 9:
Composition of Linear Transformations
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Lesson 9
NYS COMMON CORE MATHEMATICS CURRICULUM
M2
PRECALCULUS AND ADVANCED TOPICS
i.
Perform π‘³πŸ– and then π‘³πŸ– .
i.
ii.
iii.

Since π‘³πŸ– rotates by πŸ’πŸ“° about the 𝒛-axis and scales by √𝟐 in the 𝒙 and π’š directions, performing this
transformation twice will rotate by πŸ—πŸŽ° about the 𝒛-axis and scale by 𝟐 in the 𝒙 and π’š directions.
𝟏 −𝟏 𝟎
𝟏 −𝟏 𝟎
𝟎 −𝟐 𝟎
π‘¨πŸ– ⋅ π‘¨πŸ– = [𝟏 𝟏 𝟎] ⋅ [𝟏 𝟏 𝟎] = [𝟐 𝟎 𝟎]
𝟎 𝟎 𝟏
𝟎 𝟎 𝟏
𝟎 𝟎 𝟏
The conjecture in part (i) is correct.
Do a 30-second Quick Write on what we have discovered in Exploratory Challenge 1, and share with your
neighbor.
Exploratory Challenge 2 (Optional)
This optional challenge is for students who finished Exploratory Challenge 1 early. The challenge is designed to prompt
the question of whether or not order matters when composing two linear transformations, a question that is definitively
answered in the next lesson and demonstrates that matrix multiplication is in general not commutative. Students are
asked to compose two linear transformations 𝐿𝐴 and 𝐿𝐡 , with matrices 𝐴 and 𝐡, respectively, and to compare 𝐿𝐴 ∘ 𝐿𝐡
with 𝐿𝐡 ∘ 𝐿𝐴 . The directions for this challenge are left intentionally vague so that students may use either an algebraic or
a geometric approach to answer the question.
Exploratory Challenge 2
Transformations π‘³πŸ –π‘³πŸ– refer to the transformations from the Opening Exercise. For each of the following pairs of
matrices 𝑨 and 𝑩 below, compare the transformations 𝑳𝑨 ∘ 𝑳𝑩 and 𝑳𝑩 ∘ 𝑳𝑨 .
a.
π‘³πŸ’ and π‘³πŸ“
𝟏 𝟎 𝟎
𝟏 𝟎 𝟎
𝟏 𝟎 𝟎
Transformation π‘³πŸ’ ∘ π‘³πŸ“ has matrix representation π‘¨πŸ’ ⋅ π‘¨πŸ“ = [𝟎 𝟏 𝟎] ⋅ [𝟎 𝟎 𝟎] = [𝟎 𝟎 𝟎], and
𝟎 𝟎 𝟎
𝟎 𝟎 𝟏
𝟎 𝟎 𝟎
𝟏 𝟎 𝟎
𝟏 𝟎 𝟎
𝟏 𝟎 𝟎
transformation π‘³πŸ“ ∘ π‘³πŸ’ has matrix representation π‘¨πŸ“ ∘ π‘¨πŸ’ = [𝟎 𝟎 𝟎] ⋅ [𝟎 𝟏 𝟎] = [𝟎 𝟎 𝟎].
𝟎 𝟎 𝟏
𝟎 𝟎 𝟎
𝟎 𝟎 𝟎
Since the two transformations have the same matrix representation, they are the same transformation:
π‘³πŸ“ ∘ π‘³πŸ’ = π‘³πŸ’ ∘ π‘³πŸ“
Lesson 9:
Composition of Linear Transformations
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M2
PRECALCULUS AND ADVANCED TOPICS
b.
π‘³πŸ and π‘³πŸ“
𝟎 𝟎 −𝟏
𝟏 𝟎 𝟎
𝟎 𝟎 −𝟏
Transformation π‘³πŸ ∘ π‘³πŸ“ has matrix representation π‘¨πŸ ⋅ π‘¨πŸ“ = [𝟎 𝟏 𝟎 ] ⋅ [𝟎 𝟎 𝟎] = [𝟎 𝟎 𝟎 ], and
𝟏 𝟎 𝟎
𝟎 𝟎 𝟏
𝟏 𝟎 𝟎
𝟏 𝟎 𝟎
𝟎 𝟎 −𝟏
𝟎 𝟎 −𝟏
transformation π‘³πŸ“ ∘ π‘³πŸ has matrix representation π‘¨πŸ“ ⋅ π‘¨πŸ = [𝟎 𝟎 𝟎] ⋅ [𝟎 𝟏 𝟎 ] = [𝟎 𝟎 𝟎 ].
𝟎 𝟎 𝟏
𝟏 𝟎 𝟎
𝟏 𝟎 𝟎
Since the two transformations have the same matrix representation, they are the same transformation:
π‘³πŸ ∘ π‘³πŸ“ = π‘³πŸ“ ∘ π‘³πŸ
c.
π‘³πŸ‘ and π‘³πŸ•
𝟐 𝟎 𝟎
𝟐 𝟎 𝟎
πŸ’ 𝟎 𝟎
Transformation π‘³πŸ‘ ∘ π‘³πŸ• has matrix representation π‘¨πŸ‘ ⋅ π‘¨πŸ• = [𝟎 πŸ‘ 𝟎] ⋅ [𝟎 𝟏 𝟎] = [𝟎 πŸ‘ 𝟎], and
𝟏
𝟎 𝟎
𝟎 𝟎 πŸ’
𝟎 𝟎 𝟐
𝟐
𝟐 𝟎 𝟎
𝟐 𝟎 𝟎
πŸ’ 𝟎 𝟎
transformation π‘³πŸ• ∘ π‘³πŸ‘ has matrix representation π‘¨πŸ• ⋅ π‘¨πŸ‘ = [𝟎 𝟏 𝟎] ⋅ [𝟎 πŸ‘ 𝟎] = [𝟎 πŸ‘ 𝟎].
𝟏
𝟎 𝟎
𝟎 𝟎 πŸ’
𝟎 𝟎 𝟐
𝟐
Since the two transformations have the same matrix representation, they are the same transformation:
π‘³πŸ‘ ∘ π‘³πŸ• = π‘³πŸ• ∘ π‘³πŸ‘
d.
π‘³πŸ‘ and π‘³πŸ”
𝟐 𝟎 𝟎
𝟎 𝟏 𝟎
𝟎 𝟐 𝟎
Transformation π‘³πŸ‘ ∘ π‘³πŸ” has matrix representation π‘¨πŸ‘ ⋅ π‘¨πŸ” = [𝟎 πŸ‘ 𝟎] ⋅ [𝟏 𝟎 𝟎] = [πŸ‘ 𝟎 𝟎], and
𝟎 𝟎 πŸ’
𝟎 𝟎 𝟏
𝟎 𝟎 πŸ’
𝟎 𝟏 𝟎
𝟐 𝟎 𝟎
𝟎 πŸ‘ 𝟎
transformation π‘³πŸ” ∘ π‘³πŸ‘ has matrix representation π‘¨πŸ” ⋅ π‘¨πŸ‘ = [𝟏 𝟎 𝟎] ⋅ [𝟎 πŸ‘ 𝟎] = [𝟐 𝟎 𝟎].
𝟎 𝟎 𝟏
𝟎 𝟎 πŸ’
𝟎 𝟎 πŸ’
Since the two transformations have different matrix representations, they are not the same transformation:
π‘³πŸ‘ ∘ π‘³πŸ” ≠ π‘³πŸ” ∘ π‘³πŸ‘
e.
π‘³πŸ• and π‘³πŸ
𝟐 𝟎 𝟎
𝟎 −𝟐 𝟎
𝟎 −𝟏 𝟎
Transformation π‘³πŸ• ∘ π‘³πŸ has matrix representation π‘¨πŸ• ⋅ π‘¨πŸ = [𝟎 𝟏 𝟎] ⋅ [𝟏 𝟎 𝟎] = [𝟏 𝟎 𝟎], and
𝟏
𝟏
𝟎 𝟎
𝟎 𝟎
𝟎 𝟎 𝟏
𝟐
𝟐
𝟐 𝟎 𝟎
𝟎 −𝟏 𝟎
𝟎 −𝟏 𝟎
transformation π‘³πŸ ∘ π‘³πŸ• has matrix representation π‘¨πŸ ⋅ π‘¨πŸ• = [𝟏 𝟎 𝟎] ⋅ [𝟎 𝟏 𝟎] = [𝟐 𝟎 𝟎].
𝟏
𝟏
𝟎 𝟎
𝟎 𝟎
𝟎 𝟎 𝟏
𝟐
𝟐
Since the two transformations have different matrix representations, they are not the same transformation:
π‘³πŸ ∘ π‘³πŸ• ≠ π‘³πŸ• ∘ π‘³πŸ
f.
What can you conclude about the order in which you compose two linear transformations?
In some cases, the order of composition of two linear transformations matters. For two matrices 𝑨 and 𝑩, the
transformation 𝑳𝑨 ∘ 𝑳𝑩 is not always the same transformation as 𝑳𝑩 ∘ 𝑳𝑨 .
Lesson 9:
Composition of Linear Transformations
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Lesson 9
M2
PRECALCULUS AND ADVANCED TOPICS
Closing (4 minutes)
Ask students to summarize the key points of the lesson in writing or to a partner. Some important summary elements
are listed below.
Lesson Summary

The linear transformation induced by a πŸ‘ × πŸ‘ matrix 𝑨𝑩 has the same geometric effect as the sequence
of the linear transformation induced by the πŸ‘ × πŸ‘ matrix 𝑩 followed by the linear transformation
induced by the πŸ‘ × πŸ‘ matrix 𝑨.

That is, if matrices 𝑨 and 𝑩 induce linear transformations 𝑳𝑨 and 𝑳𝑩 in β„πŸ‘ , respectively, then the linear
𝒙
𝒙
transformation 𝑳𝑨𝑩 induced by the matrix 𝑨𝑩 satisfies 𝑳𝑨𝑩 ([π’š]) = 𝑳𝑨 (𝑳𝑩 ([π’š])).
𝒛
𝒛
Exit Ticket (4 minutes)
Lesson 9:
Composition of Linear Transformations
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Lesson 9
NYS COMMON CORE MATHEMATICS CURRICULUM
M2
PRECALCULUS AND ADVANCED TOPICS
Name
Date
Lesson 9: Composition of Linear Transformations
Exit Ticket
Let 𝐴 be the matrix representing a rotation about the 𝑧-axis of 45° and 𝐡 be the matrix representing a dilation of 2.
a.
Write down 𝐴 and 𝐡.
b.
3
Let π‘₯ = [−1]. Find the matrix representing a dilation of π‘₯ by 2 followed by a rotation about the 𝑧-axis of 45°.
2
c.
Do your best to sketch a picture of π‘₯, π‘₯ after the first transformation, and π‘₯ after both transformations. You
may use technology to help you.
Lesson 9:
Composition of Linear Transformations
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Lesson 9
M2
PRECALCULUS AND ADVANCED TOPICS
Exit Ticket Sample Solutions
Let 𝑨 be the matrix representing a rotation about the 𝒛-axis of πŸ’πŸ“° and 𝑩 be the matrix representing a dilation of 𝟐.
a.
Write down 𝑨 and 𝑩.
√𝟐
√𝟐
−
𝟎
𝟐 𝟎 𝟎
𝟐
𝟐
𝑨 = √𝟐 √𝟐
, 𝑩 = [𝟎 𝟐 𝟎]
𝟎
𝟎 𝟎 𝟐
𝟐
𝟐
[𝟎
𝟎
𝟏]
b.
πŸ‘
Let 𝒙 = [−𝟏]. Find the matrix representing a dilation of 𝒙 by 𝟐 followed by a rotation about the 𝒛-axis of
𝟐
πŸ’πŸ“°.
√𝟐 −√𝟐 𝟎
𝑨𝑩 = [√𝟐 √𝟐 𝟎]
𝟎
𝟎
𝟐
c.
Do your best to sketch a picture of 𝒙, 𝒙 after the first transformation, and 𝒙 after both transformations. You
may use technology to help you.
Lesson 9:
Composition of Linear Transformations
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Lesson 9
NYS COMMON CORE MATHEMATICS CURRICULUM
M2
PRECALCULUS AND ADVANCED TOPICS
Problem Set Sample Solutions
1.
𝟏
Let 𝑨 be the matrix representing a dilation of , and let 𝑩 be the matrix representing a reflection across the
𝟐
π’šπ’›-plane.
a.
Write 𝑨 and 𝑩.
𝟏
𝟎 𝟎
𝟐
−𝟏 𝟎 𝟎
𝟏
𝑨= 𝟎
𝟎 , 𝑩 = [ 𝟎 𝟏 𝟎]
𝟐
𝟎 𝟎 𝟏
𝟏
𝟎
𝟎
[
𝟐]
b.
Evaluate 𝑨𝑩. What does this matrix represent?
𝟏
𝟎 𝟎
𝟐
𝟏
𝑨𝑩 = 𝟎
𝟎
𝟐
𝟏
[ 𝟎 𝟎 𝟐]
−
𝟏
𝑨𝑩 is a reflection across the π’šπ’›-plane followed by a dilation of .
𝟐
c.
−𝟏
πŸ–
πŸ“
Let 𝒙 = [πŸ”], π’š = [ πŸ‘ ], and 𝒛 = [−𝟐]. Find (𝑨𝑩)𝒙, (𝑨𝑩)π’š, and (𝑨𝑩)𝒛.
πŸ’
𝟐
−πŸ’
𝟏
πŸ“
−πŸ’
−
𝟐
(𝑨𝑩)𝒙 = [ 𝟐] , (𝑨𝑩)π’š = πŸ‘ , (𝑨𝑩)𝒛 = [−𝟏]
πŸ‘
−𝟐
𝟐
𝟐
[𝟏]
2.
Let 𝑨 be the matrix representing a rotation of πŸ‘πŸŽ° about the 𝒙-axis, and let 𝑩 be the matrix representing a dilation
of πŸ“.
a.
Write 𝑨 and 𝑩.
𝟏
𝟎
𝟎
𝟏
√πŸ‘
πŸ“ 𝟎 𝟎
𝟎
−
𝑨=
𝟐
𝟐 , 𝑩 = [𝟎 πŸ“ 𝟎]
𝟎 𝟎 πŸ“
𝟏 √πŸ‘
[𝟎 𝟐
𝟐 ]
b.
Evaluate 𝑨𝑩. What does this matrix represent?
πŸ“
𝟎
𝟎
πŸ“√πŸ‘
πŸ“
𝟎
−
𝑨𝑩 =
𝟐
𝟐
πŸ“
πŸ“√πŸ‘
[𝟎
𝟐
𝟐 ]
𝑨𝑩 is a dilation of πŸ“ followed by a rotation of πŸ‘πŸŽ° about the 𝒙-axis.
Lesson 9:
Composition of Linear Transformations
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Lesson 9
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PRECALCULUS AND ADVANCED TOPICS
c.
𝟏
𝟎
𝟎
Let 𝒙 = [𝟎], π’š = [𝟏], 𝒛 = [𝟎]. Find (𝑨𝑩)𝒙, (𝑨𝑩)π’š, and (𝑨𝑩)𝒛.
𝟎
𝟎
𝟏
πŸ“
(𝑨𝑩)𝒙 = [𝟎]
𝟎
𝟎
πŸ“√πŸ‘
(𝑨𝑩)π’š = 𝟐
πŸ“
[ 𝟐 ]
𝟎
πŸ“
𝟐
(𝑨𝑩)𝒛 =
πŸ“√πŸ‘
[ 𝟐 ]
−
3.
Let 𝑨 be the matrix representing a dilation of πŸ‘, and let 𝑩 be the matrix representing a reflection across the plane
π’š = 𝒙.
a.
Write 𝑨 and 𝑩.
πŸ‘ 𝟎 𝟎
𝟎 𝟏 𝟎
𝑨 = [𝟎 πŸ‘ 𝟎] , 𝑩 = [𝟏 𝟎 𝟎]
𝟎 𝟎 πŸ‘
𝟎 𝟎 𝟏
b.
Evaluate 𝑨𝑩. What does this matrix represent?
𝟎 πŸ‘ 𝟎
𝑨𝑩 = [πŸ‘ 𝟎 𝟎]
𝟎 𝟎 πŸ‘
𝑨𝑩 is a reflection across the π’š = 𝒙 plane followed by a dilation of πŸ‘.
c.
−𝟐
Let 𝒙 = [ πŸ• ]. Find (𝑨𝑩)𝒙.
πŸ‘
𝟐𝟏
(𝑨𝑩)𝒙 = [−πŸ”]
πŸ—
4.
πŸ‘ 𝟎 𝟎
𝟎 −𝟏 𝟎
Let 𝑨 = [πŸ‘ πŸ‘ 𝟎], 𝑩 = [𝟏 𝟎 𝟎].
𝟎 𝟎 𝟏
𝟎 𝟎 𝟏
a.
Evaluate 𝑨𝑩.
𝟎 −πŸ‘ 𝟎
[πŸ‘ −πŸ‘ 𝟎]
𝟎 𝟎 𝟏
b.
−𝟐
Let 𝒙 = [ 𝟐 ]. Find (𝑨𝑩)𝒙.
πŸ“
−πŸ”
[−𝟏𝟐]
πŸ“
Lesson 9:
Composition of Linear Transformations
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M2
PRECALCULUS AND ADVANCED TOPICS
c.
Graph 𝒙 and (𝑨𝑩)𝒙.
(𝐴𝐡)π‘₯
π‘₯
5.
𝟏
πŸ‘
𝟎 𝟎
πŸ‘
Let 𝑨 = 𝟎 𝟏 𝟎 , 𝑩 = [𝟏
𝟏
𝟎
[𝟐 𝟎 πŸ‘]
a.
𝟏 𝟎
−πŸ‘ 𝟎].
𝟎 𝟏
Evaluate 𝑨𝑩.
𝟏
𝟎
πŸ‘
𝟏 −πŸ‘ 𝟎
𝟏
[πŸ” 𝟐 πŸ‘]
𝟏
b.
𝟎
Let 𝒙 = [πŸ‘]. Find (𝑨𝑩)𝒙.
𝟐
𝟏
−πŸ—
[ 𝟐𝟎 ]
πŸ‘
Lesson 9:
Composition of Linear Transformations
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Lesson 9
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PRECALCULUS AND ADVANCED TOPICS
c.
6.
Graph 𝒙 and (𝑨𝑩)𝒙.
𝟐 𝟎 𝟎
𝟏 𝟎 𝟎
Let 𝑨 = [𝟎 πŸ‘ 𝟎], 𝑩 = [𝟎 𝟏 𝟎].
𝟎 𝟎 πŸ–
𝟎 𝟎 𝟎
a.
Evaluate 𝑨𝑩.
𝟐 𝟎 𝟎
[𝟎 πŸ‘ 𝟎]
𝟎 𝟎 𝟎
b.
𝟏
Let 𝒙 = [−𝟐]. Find (𝑨𝑩)𝒙.
πŸ’
𝟐
[−πŸ”]
𝟎
Lesson 9:
Composition of Linear Transformations
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Lesson 9
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PRECALCULUS AND ADVANCED TOPICS
c.
Graph 𝒙 and (𝑨𝑩)𝒙.
d.
What does 𝑨𝑩 represent geometrically?
𝑨𝑩 represents a projection onto the π’™π’š-plane, and a dilation of 𝟐 in the 𝒙-direction and πŸ‘ in the π’š-direction.
7.
Let 𝑨, 𝑩, π‘ͺ be πŸ‘ × πŸ‘ matrices representing linear transformations.
a.
What does 𝑨(𝑩π‘ͺ) represent?
The linear transformation of applying the linear transformation that π‘ͺ represents followed by the
transformation that 𝑩 represents followed by the transformation that 𝑨 represents
b.
MP.7
Will the pattern established in part (a) be true no matter how many matrices are multiplied on the left?
Yes, in general. When you multiply by a matrix on the left, you are applying a linear transformation after all
linear transformations to the right have been applied.
c.
Does (𝑨𝑩)π‘ͺ represent something different from 𝑨(𝑩π‘ͺ)? Explain.
No, it does not. This is the linear transformation obtained by applying C and then 𝑨𝑩, which is 𝑩 followed by
𝑨.
8.
𝟎
Let 𝑨𝑩 represent any composition of linear transformations in β„πŸ‘ . What is the value of (𝑨𝑩)𝒙 where 𝒙 = [𝟎]?
𝟎
Since a composition of linear transformations in β„πŸ‘ is also a linear transformation, we know that applying it to the
origin will result in no change.
Lesson 9:
Composition of Linear Transformations
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