The video tutorial explains how to express a vector as a linear combination of unit vectors and how to apply a transformation matrix to it. The transformation changes the vector into a linear combination of the images of the unit vectors. The tutorial includes graphing the original and transformed vectors and verifying the transformation mathematically.

How can a vector in two dimensions be expressed?

• As a quotient of unit vectors

• As a difference of unit vectors

• As a weighted sum of unit vectors

• As a product of unit vectors

What is the role of unit vectors in expressing a vector?

• They are used to divide the vector

• They are used to express the vector as a linear combination

• They are used to multiply the vector

• They are used to subtract from the vector

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CCSS.HSN.VM.A.1

What is the graphical representation of the vector 3 2?

• Three unit vectors in the y direction and two in the x direction

• Two unit vectors in the x direction and three in the y direction

• Three unit vectors in the x direction and two in the y direction

• Two unit vectors in the y direction and three in the x direction

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CCSS.HSN.VM.C.8

What does a transformation matrix provide?

• The image of the unit vectors

• The product of unit vectors

• The sum of unit vectors

• The difference of unit vectors

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CCSS.HSN.VM.C.11

What does the transformation matrix 2 1 2 3 do to the unit vector 1 0?

• Transforms it to 1 2

• Transforms it to 2 1

• Transforms it to 3 2

• Transforms it to 0 1

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CCSS.HSN.VM.C.11

What is the result of applying the transformation matrix to the vector 3 2?

• The vector 6 4

• The vector 10 9

• The vector 8 7

• The vector 9 10

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CCSS.HSN.VM.C.11

What is the image of the unit vector 0 1 under the transformation matrix?

• The vector 3 2

• The vector 2 3

• The vector 0 1

• The vector 1 0

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CCSS.HSN.VM.C.7

How is the transformed vector verified mathematically?

• By adding the original vector to the transformation matrix

• By multiplying the original vector by the transformation matrix

• By adding the corresponding entries of the transformed unit vectors

• By subtracting the original vector from the transformation matrix

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CCSS.HSN.VM.C.7

What is the significance of the transformation matrix in vector transformation?

• It provides the difference of the unit vectors

• It provides the sum of the unit vectors

• It provides the image of the unit vectors

• It provides the original vector

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CCSS.HSN.VM.A.1

What is the final takeaway regarding vector transformation?

• Vectors can only be represented as products of unit vectors

• Vectors are always represented as differences of unit vectors

• Vectors can be represented as linear combinations of transformed unit vectors

• Vectors cannot be transformed

Tags

CCSS.HSN.VM.A.1