julieallen1994
julieallen1994 Feb 2, 2026 • 0 views

Composition of linear transformations worksheets for university linear algebra

Hey there! 👋 Need some practice with composing linear transformations? I've got just the thing! This worksheet breaks down the concepts and gives you some exercises to test your understanding. Let's get started! 🚀
🧮 Mathematics

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jill_hicks Jan 1, 2026

📚 Topic Summary

In linear algebra, the composition of linear transformations refers to applying one linear transformation after another. If you have two linear transformations, $T: V \rightarrow W$ and $U: W \rightarrow Z$, their composition, denoted as $U \circ T$, is a new linear transformation that maps vectors from $V$ to $Z$. Essentially, you first apply $T$ to a vector in $V$, which gives you a vector in $W$, and then you apply $U$ to that resulting vector in $W$ to get a vector in $Z$. Understanding composition is crucial for simplifying complex transformations and analyzing their properties.

The matrix representation of $U \circ T$ is obtained by multiplying the matrix representing $U$ by the matrix representing $T$. Order matters: $U \circ T$ is generally different from $T \circ U$! Composition allows us to build complex transformations from simpler ones, offering a powerful tool for problem-solving in linear algebra.

🧮 Part A: Vocabulary

Match the term with its correct definition:

Term Definition
1. Linear Transformation A. The act of applying one transformation after another.
2. Composition B. A mapping between vector spaces that preserves vector addition and scalar multiplication.
3. Vector Space C. A set of objects that can be added together and multiplied by scalars.
4. Matrix Representation D. A rectangular array of numbers representing a linear transformation.
5. Scalar Multiplication E. An operation that multiplies a vector by a scalar, resulting in another vector.

Matchings: 1-B, 2-A, 3-C, 4-D, 5-E

✍️ Part B: Fill in the Blanks

Complete the following paragraph with the correct terms:

The __________ of two linear transformations, $T$ and $U$, is denoted as $U \circ T$. This means applying $T$ first, followed by __________. The matrix representing the composite transformation $U \circ T$ is found by __________ the matrix of $U$ by the matrix of $T$. The order of transformations __________ because $U \circ T$ is not always the same as $T \circ U$. Therefore, understanding the order is __________ when composing linear transformations.

Answers: composition, $U$, multiplying, matters, essential

🤔 Part C: Critical Thinking

Explain, in your own words, why the order of linear transformations matters when composing them. Provide a simple example to illustrate your point.

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