Table of contents

0. Review of College Algebra4h 43m
1. Measuring Angles40m
2. Trigonometric Functions on Right Triangles2h 5m
3. Unit Circle1h 19m
4. Graphing Trigonometric Functions1h 19m
5. Inverse Trigonometric Functions and Basic Trigonometric Equations1h 41m
6. Trigonometric Identities and More Equations2h 34m
7. Non-Right Triangles1h 38m
8. Vectors2h 25m
9. Polar Equations2h 5m
10. Parametric Equations1h 6m
11. Graphing Complex Numbers1h 7m

8. Vectors

Dot Product

Trigonometry

8. Vectors

Dot Product

Previous problemNext problem

1:44 minutes

Problem 27

Textbook Question

In Exercises 23–32, use the dot product to determine whether v and w are orthogonal.v = 2i - 2j, w = -i + j

Verified step by step guidance

Calculate the dot product of \( \mathbf{v} \) and \( \mathbf{w} \) using the formula: \( \mathbf{v} \cdot \mathbf{w} = v_1w_1 + v_2w_2 \).

Substitute the components of \( \mathbf{v} = 2\mathbf{i} - 2\mathbf{j} \) and \( \mathbf{w} = -\mathbf{i} + \mathbf{j} \) into the dot product formula.

Perform the multiplication for each component: \( 2 \times (-1) \) and \( -2 \times 1 \).

Add the results of the multiplications to find the dot product.

Determine if the dot product is zero. If it is, then \( \mathbf{v} \) and \( \mathbf{w} \) are orthogonal.

Verified video answer for a similar problem:

This video solution was recommended by our tutors as helpful for the problem above

Video duration:

Play a video:

Was this helpful?

Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Dot Product

The dot product is a mathematical operation that takes two vectors and returns a scalar. It is calculated by multiplying corresponding components of the vectors and summing the results. For vectors v = ai + bj and w = ci + dj, the dot product is given by v · w = ac + bd. This operation is crucial for determining the angle between vectors and checking for orthogonality.

Orthogonal Vectors

Two vectors are considered orthogonal if they are perpendicular to each other, which occurs when their dot product equals zero. This property is significant in various applications, including physics and engineering, as it indicates that the vectors do not influence each other in their respective directions. Understanding orthogonality helps in simplifying problems involving vector components.

Vector Components

Vectors can be expressed in terms of their components along the coordinate axes, typically represented as i (x-axis) and j (y-axis) in two dimensions. For example, the vector v = 2i - 2j has components 2 and -2. Analyzing these components is essential for performing operations like the dot product and understanding the geometric interpretation of vectors in space.