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Matrix transformations

Treating x to Ax as a function between Euclidean spaces, with linearity, domain and range, and the matrix rebuilt from images of the standard basis.

Understanding Linear Algebra, Matrix transformations

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11 exercises

Activity 2.5.2

In this activity, we will look at some examples of matrix transformations.

  1. To begin, suppose that AA is the matrix with associated matrix transformation T(x)=AxT(\xvec) = A\xvec.

    1. What is T([1−2])T\left(\twovec{1}{-2}\right)?

    2. What is T([10])T\left(\twovec{1}{0}\right)?

    3. What is T([01])T\left(\twovec{0}{1}\right)?

    4. Is there a vector x\xvec such that T(x)=[30]T(\xvec) = \twovec{3}{0}?

    5. Write T([xy])T\left(\twovec xy\right) as a two-dimensional vector.

  2. Suppose that T(x)=AxT(\xvec) = A\xvec where .

    1. What is the dimension of the vectors x\xvec that are inputs for TT?

    2. What is the dimension of the vectors T(x)=AxT(\xvec)=A\xvec that are outputs?

    3. If we des…

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Activity 2.5.5

Suppose we run a company that has two warehouses, which we will call PP and QQ, and a fleet of 1000 delivery trucks. Every morning, a delivery truck goes out from one of the warehouses and returns in the evening to one of the warehouses. It is observed that

  • 70% of the trucks that leave PP return to PP. The other 30% return to QQ.

  • 50% of the trucks that leave QQ return to QQ and 50% return to PP.

The distribu…

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Exercise 1

Suppose that TT is the matrix transformation defined by the matrix AA and SS is the matrix transformation defined by BB where .

  1. If T:Rn→RmT:\real^n\to\real^m, what are the values of mm and nn? What values of mm and nn are appropriate for the transformation SS?

  2. Evaluate T([1−32])T\left(\threevec{1}{-3}{2}\right).

  3. Evaluate S([−221])S\left(\threevec{-2}{2}{1}\right).

  4. Evaluate S∘T([1−32])S\circ T\left(\threevec{1}{-3}{2}\right).

  5. Find the matrix CC that defines the matrix transformation S∘TS\circ T.

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Exercise 2

This problem concerns the identification of matrix transformations, about which more will be said in the next section.

  1. Check that the following function T:R3→R2T:\real^3\to\real^2 is a matrix transformation by finding a matrix AA such that T(x)=AxT(\xvec) = A\xvec. .

  2. Explain why is not a matrix transformation.

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Exercise 3

Suppose that the matrix defines the matrix transformation T:R3→R3T:\real^3\to\real^3.

  1. Describe the vectors x\xvec that satisfy T(x)=0T(\xvec) = \zerovec.

  2. Describe the vectors x\xvec that satisfy T(x)=[−892]T(\xvec) = \threevec{-8}{9}{2}.

  3. Describe the vectors x\xvec that satisfy T(x)=[−82−4]T(\xvec) = \threevec{-8}{2}{-4}.

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Exercise 5

In this example and this example, we wrote matrix transformations in terms of the components of T(x)T(\xvec). This exercise makes use of that form.

  1. Let's return to the example in this activity concerning the company that operates two bakeries. We used a matrix transformation with input x\xvec, which recorded the amount of time the two bakeries operated, and output T(x)T(\xvec), the number of cakes, doughnuts, and eclairs pro…

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Exercise 6

Determine whether the following statements are true or false and provide a justification for your response.

  1. A matrix transformation T:R4→R5T:\real^4\to\real^5 is defined by T(x)=AxT(\xvec) = A\xvec where AA is a 4×54\times5 matrix.

  2. If T:R3→R2T:\real^3\to\real^2 is a matrix transformation, then there are infinitely many vectors x\xvec such that T(x)=0T(\xvec) = \zerovec.

  3. If T:R2→R3T:\real^2\to\real^3 is a matrix transformation, then it is possible that every equation T(x)=bT(\xvec) = \bvec has a solution for every vector b\bvec.

  4. If T:Rn→RmT:\real^n\to\real^m is a matrix transformation, t…

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Exercise 7

Suppose that a company has three plants, called Plants 1, 2, and 3, that produce milk MM and yogurt YY. For every hour of operation,

  • Plant 11 produces 20 units of milk and 15 units of yogurt.

  • Plant 22 produces 30 units of milk and 5 units of yogurt.

  • Plant 33 produces 0 units of milk and 40 units of yogurt.

  1. Suppose that x1x_1, x2x_2, and x3x_3 record the amounts of time that the three plants are operated and that MM and…

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Exercise 8

Suppose that T:R2→R2T:\real^2\to\real^2 is a matrix transformation and that .

  1. Find the vector T([10])T\left(\twovec{1}{0}\right).

  2. Find the matrix AA that defines TT.

  3. Find the vector T([4−5])T\left(\twovec{4}{-5}\right).

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Exercise 9

Suppose that two species PP and QQ interact with one another and that we measure their populations every month. We record their populations in a state vector x=[pq]\xvec = \twovec{p}{q}, where pp and qq are the populations of PP and QQ, respectively. We observe that there is a matrix such that the matrix transformation T(x)=AxT(\xvec)=A\xvec is the transition function describing how the state vector evolves from month to month. We also observe that…

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Exercise 10

Students in a school are sometimes absent due to an illness. Suppose that

  • 95% of the students who attend school will attend school the next day.

  • 50% of the students who are absent one day will be absent the next day.

We will record the number of present students pp and the number of absent students aa in a state vector x=[pa]\xvec=\twovec{p}{a} and note that that state vector evolves from one day to the next according to the…

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Adapted from Understanding Linear Algebra © 2023 David Austin. Licensed under CC BY 4.0. Source: Understanding Linear Algebra. Imported at revision 3e6dced.