The dot product
Lengths, distances, angles, and the orthogonality test for a pair of vectors, all recovered from one scalar product and its unit vectors.
9 exercises
Exercise 1
Consider the vectors
Find the lengths of the vectors, and .
Find the dot product and use it to find the angle between and .
Exercise 2
Consider the three vectors
Find the dot products , , and .
Use the dot products you just found to evaluate:
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For what value of is orthogonal to ?
Exercise 3
Suppose that and are vectors where
What is ?
What is the angle between and ?
Suppose that is a scalar. Find the value of for which is orthogonal to ?
Exercise 4
Suppose that .
What is the relationship between and ?
What is the relationship between and ?
If for some scalar , what is the relationship between and ? What is the relationship between and ?
Suppose that . Find a scalar so that has length 1.
Exercise 6
Consider the vectors and a general vector .
Write an equation in terms of , , and that describes all the vectors orthogonal to .
Write a linear system that describes all the vectors orthogonal to both and .
Write the solution set to this linear system in parametric form. What type of geometric object does this solution set represent? Indicate with a rough sketch why this makes sense.
Giv…
Exercise 7
Explain your responses to these questions.
Suppose that is orthogonal to both and . Can you guarantee that is also orthogonal to any linear combination ?
Suppose that is orthogonal to itself. What can you say about ?
Exercise 8
Suppose that , , and form a basis for and that each vector is orthogonal to the other two. Suppose also that is another vector in .
Explain why for some scalars , , and .
Beginning with the expression apply the distributive property of dot products to explain why Find similar expressions for and .
Verify that form a basis for and that each vector is orthogonal to the other two.…
Exercise 9
Suppose that , , and are three nonzero vectors that are pairwise orthogonal; that is, each vector is orthogonal to the other two.
Explain why cannot be a linear combination of and .
Explain why this set of three vectors is linearly independent.
Exercise 10
In the next chapter, we will consider certain matrices and define a function where is a vector in .
Suppose that and . Evaluate .
For a general vector , evaluate as an expression involving and .
Suppose that is an eigenvector of a matrix with associated eigenvalue and that has length 1. What is the value of the function ?
Adapted from Understanding Linear Algebra © 2023 David Austin. Licensed under CC BY 4.0. Source: Understanding Linear Algebra. Imported at revision 3e6dced.