Section 3.6 Scalar Product Between Vectors
Scalar or dot product of two vectors results in a single real number. To be specific, consider two vectors \(\vec A\) and \(\vec B\) that have an angle \(\theta\) between them as shown in Figure 3.6.1. We denote the scalar product by placing a dot between the abstract symbols \(\vec A \) and \(\vec B\) for the two vectors, as \(\vec A\cdot\vec B\text{.}\)

The result of scalar product between \(\vec A \) and \(\vec B\) can be given in two equivalent ways: in terms of components of the vectors or in terms of magnitudes and angle.
where \(A \) and \(B \) are magnitudes of these vectors.
An important use of these formulas to find the angle between two vectors, given their components. Equating these Eqs. (3.6.1) and (3.6.2), and solving for \(\cos\theta \) we get
Since components are simple numbers, their multiplication order does not matter, i.e., \(A_xB_x = B_xA_x\text{,}\) therefore, the order of vectors in the dot product does not matter. That is,
This will not be the case with the other product between vectors, called cross product, we will define below - we will find that reversing the order introduces a negative sign.
Checkpoint 3.6.2. Finding Angle Between Two Vectors.
Consider the following vectors given in their component forms in a three-dimensional space, \(\vec F = (3 \text{ N}, 4 \text{ N}, -5 \text{ N})\text{,}\) and \(\vec d = (-4 \text{ m}, 5 \text{ m}, 3 \text{ m})\text{.}\) (a) Find the magnitudes of the two vectors. (b) Find the dot product of the two vectors. (c) What is the angle betwen the two vectors?
(a) Use \(F = \sqrt{F_x^2 + F_y^2 + F_z^2}\text{,}\) (b) Use dot product based on components, (c) Use dot product based on magnitude.
(a) \(7.07\text{ N} \text{,}\) \(7.07\text{ m} \text{,}\) (b) \(- 7\text{ N.m} \text{,}\) (c) \(98^{\circ}\)
(a) Using \(F = \sqrt{F_x^2 + F_y^2 + F_z^2}\) on \(\vec F\) and similar formula on \(\vec d \) we immediately get the answer. The only thing we need to notice that we will also get units.
Similarly, \(d = 7.07\text{ m}\text{.}\)
(b) Since, vectors to be multiplied are given in the component forms, we use the definition of the scalar product based on the components.
(c) Since two definitions of scalar product would give the same value and one of them has the angle \(\theta \) we seek. Therefore, we solve for \(\theta \) to get
Now, using the numerical values, we find that
Inverting this we get
Checkpoint 3.6.3. Vectors Whose Dot Pruduct is Zero.
When will the dot product between two non-zero vectors be zero?
Think about directions.
Dot product is zero when vectors are perpendicular to each other, i.e., \(\theta = 90^{\circ}\text{.}\)
Let \(A \) and \(B \) be the magnitudes of the vectors and \(\theta \) be the angle between them. Then, we want
That means,
Since, \(\theta\) can be at most \(180^{\circ}\text{,}\) there is only one value at which \(\cos\, \theta = 0\text{.}\) That is, when
That is, the dot product is zero when the two vector are perpendicular.
Checkpoint 3.6.4. More Practice on Dot Product.
Find the dot products:
(a) between \(\vec A = \) ( \(30 \) m/s, due East) and \(\vec B = \) ( \(40 \) m/s, due \(60^{\circ}\) North of East),
(b) between \(\vec F = \) ( \(100 \) N, due East) and \(\vec d = \) ( \(40 \) m, due \(120^{\circ}\) Counterclockwise from East, i.e., towards North and \(30^{\circ} \) past North).
Use \(A B \cos\, \theta \)
(a) \(600\text{ m}^2/\text{s}^2\text{,}\) (b) \(- 2000\text{ N.m}\text{.}\)
(a) Here we know the magnitudes and the angle between the two vectors. Therefore, we use the dot product formula based on these quantities.
(b) Here we know the magnitudes and the angle between the two vectors. Therefore, we use the dot product formula based on these quantities.