# 5.5: Scalar Projections

**At Grade**Created by: CK-12

As an engineer, or a pilot, or racecar driver, or even a chef, it can often be useful to determine the result of different amounts and directions of force applied to a particular action to decide on the best use of added strength, altitude, speed, or heat in order to achieve the optimum result.

This lesson is about
**
scalar projections
**
, which allow you to do the things above and a whole host of others.

### Watch This

Embedded Video:

- Khan Academy: Introduction to Projections

### Guidance

A
**
scalar projection
**
allows you to investigate the result of different "lengths" of one vector on an overall study. The projection of a vector onto a particular direction is, in effect, the result of applying a specific value in that direction. Recall that the

**of a vector is a scalar quantity describing only the magnitude of a particular vector. A**

*dot product***is given by the dot product of a vector with a unit vector for that direction.**

*scalar projection*For example, the component notations for the vectors shown below are and .

The scalar projection of vector
**
AB
**
onto
is given by

The scalar projection of vector
**
AB
**
onto
is given by

And the scalar projection of vector
**
AB
**
onto
is given by

The scalar projections of
**
AB
**
onto the x and y directions are non-zero numbers because the vector is located in the x-y plane. The scalar projection of

**onto the z direction is equal to zero, because the z direction is perpendicular to**

*AB***.**

*AB*
**
Vector Projections
**

The
*
vector projection
*
of a vector onto a given direction has a magnitude equal to the scalar projection. The direction of the vector projection is the same as the unit vector of that given direction. Recall that when a vector
is multiplied by a scalar
*
s
*
, its components are given by

To calculate the vector projection of
**
AB
**
onto the direction of vector

**, use the scalar projection calculated in the previous example and the unit vector .**

*D*

This process is clearly explained in the video above.

#### Example A

The diagram below shows both vectors
**
AB
**
and

**together on the same grid. Determine the scalar projection of vector**

*D***onto the direction of vector**

*AB***.**

*D*
**
Solution:
**
To find the scalar projection onto the direction of another vector we need to know the unit vector in the direction of vector
**
D
**
.

First, the components of are

Now the magnitude of is

.

Finally, the direction vector of is

.

Now we can use the dot-product to calculate the scalar projection of
**
AB
**
onto the direction of vector

**.**

*D*

#### Example B

Determine the scalar projection of the vector onto the direction of .

**
Solution
**

The scalar projection of one vector onto the direction of the other is the dot product of the first vector with the unit vector representing the direction of the second vector. To calculate the scalar projection, we need to determine the unit vector in the direction of vector . Remember that a unit vector is equal to the ratio of the vector and its magnitude, therefore we first need to calculate the length of vector

Now we can calculate the scalar projection of onto by calculating the dot product

#### Example C

Determine the vector projection of onto the direction of and the vector projection of onto the direction of . @ and @ .

**
Solution
**

The vector projection of one vector onto the direction of another vector is given by , where is the unit vector in the direction of . Since it is a unit vector has a magnitude of 1 and has the same direction as @ . Therefore, @ @

The vector projection of one vector onto the direction of another vector is given by , where is the unit vector in the direction of . Since it is a unit vector has a magnitude of 1 and has the same direction as , @ . Therefore, @ @

### Vocabulary

A
**
projection
**
describes the effect of a quantity, either vector or scalar, on a given direction.

A
**
dot product
**
is the calculated magnitude of a given vector or vectors in a given direction.

### Guided Practice

**
Questions
**

- 1) Determine the vector projection of vector onto the vector

**
Solution
**

- 1) The vector progression of one vector onto a second vector is the multiplication of the dot products of the two vectors and the unit vector defining the direction of the second vector. In this case, . First we need to identify the components of the two vectors by using the information given on the graph. In this case, and . Then we need to determine the dot product of the two vectors.

We also need to determine the unit vector in the direction of .Remember that a unit vector is equal to the ratio of the vector and its magnitude, therefore we first need to calculate the length of vector .

Lastly, we multiply the dot product of the two vectors by this unit vector,

### Practice

Scalar Multiples 51 - 55

- Calculate the result of a scalar multiple of 6 on the vector
- Calculate the result of a scalar multiple of (-8) on the vector
- Calculate the result of a scalar multiple of 15 on the vector
- Calculate the result of a scalar multiple of (-11) on the vector
- Calculate the result of a scalar multiple of 16 on the vector

Scalar Projections 71-80

- Given Vector A = and Vector B = What is the projection of A onto B?
- What is the projection of onto ?
- Given Vector C = and Vector D = What is the projection of C onto D?
- Given Vector E = and Vector F = What is the projection of E onto F?
- What is the projection of onto ?
- Given Vector H = and Vector I = What is the projection of H onto I?
- What is the projection of onto ?
- What is the projection of onto ?
- Given Vector J = and Vector K = What is the projection of J onto K?
- Given Vector L = and Vector M = What is the projection of L onto M?

### Image Attributions

## Description

## Learning Objectives

Here you will learn how to use dot products and unit vectors in scalar projections.