The dot product
Evaluating dot products, finding the cosine of the angle between vectors, and verifying the Cauchy-Schwarz inequality with its equality condition.
13 exercises
Exercise 2.6.1
Find .
Exercise 2.6.4
Find where is the angle between the vectors
Exercise 2.6.5
Find where is the angle between the vectors
Exercise 2.6.6
Use the formula given in Proposition 2.47 to verify the Cauchy Schwarz inequality and to show that equality occurs if and only if one of the vectors is a scalar multiple of the other.
Exercise 2.6.7
Show that the triangle with vertices , and is a right triangle.
Exercise 2.6.8
Find where and .
Exercise 2.6.9
Find where and .
Exercise 2.6.10
Find where and .
Exercise 2.6.13
Does it make sense to speak of ?
Exercise 2.6.14
Decompose the vector into where is parallel to and is orthogonal to .
Exercise 2.6.15
Prove the Cauchy Schwarz inequality in as follows. For vectors, consider
Simplify using the axioms of the dot product and then put in the formula for the projection. Notice that this expression equals and you get equality in the Cauchy Schwarz inequality if and only if . What is the geometric meaning of ?
Exercise 2.6.16
Let be vectors. Show that , where .
Exercise 2.6.17
Show that
and conclude every vector in can be written as the sum of two vectors, one which is orthogonal and one which is parallel to the given vector.
Adapted from Matrix Theory and Linear Algebra © 2017–2026 Peter Selinger, Lyryx Learning, and Ken Kuttler. Licensed under CC BY 4.0. Source: Matrix Theory and Linear Algebra. Imported at revision d74bc3a.