## Video Lesson: How to Find the Scalar Product of Two Vectors

## What is the Scalar Product?

**The scalar product (dot product) of two vectors measures the extent to which their directions align. The result is a scalar quantity where the larger the value, the more aligned the vectors. A negative scalar product means that the vectors act in opposite directions. **

The scalar product is often known as the dot product. The two terms can be used interchangeably.

The result of the scalar product calculation is a scalar quantity. This means that the final answer is just a single value.

The dot product represents how much one vector acts in the direction of another. The larger the result of the dot product calculation, the more aligned the two vectors are.

This is because the formula for the scalar product is given by ** aâ‹…b = a_{x} b_{x} + a_{y} b_{y}**.

a_{x} and b_{x} are the horizontal components of both vectors and a_{y} and b_{y} are the vertical components of both vectors.

An alternative formula for the scalar product of a and b is given by:

The Scalar Product of a and b

Cosine is involved in the formula for the dot product as it tells us the projection of one vector onto the other.

Since and , the angle between the two vectors directly impacts the size of the dot product.

If the angle between the two vectors is 0Â°, the vectors are parallel and the their scalar product is equal to the product of their magnitudes. That is .

- Parallel vectors are most aligned in direction and therefore will have a larger scalar product than vectors of the same magnitude that are not parallel.

- Perpendicular vectors act at 90Â° to one another.
**The scalar product of perpendicular vectors is equal to zero.**

The dot product of two perpendicular vectors is always zero because and substituting this result into always results in zero.

**The simplest way to test if two vectors are perpendicular is to calculate the dot product. The two vectors are perpendicular only if their dot product is equal to zero.**

If vectors act at right angle to one another then one vector has no component acting in the same direction as the other vector. This is indicated by a dot product of zero.

It is possible to have a negative dot product. A negative dot product result means that the two vectors act partially in opposite directions.

The scalar product is also used to calculate the angle between two vectors using the formula:

The full lesson, video and worked examples of how to calculate the angle between two vectors can be found here.

**The scalar product is commutative, which means that aâ‹…b = bâ‹…a. This is because aâ‹…b = |a||b|cosÎ¸. The result of |a||b| = |b||a| and the angle Î¸ between the two vectors remains the same.**

For example, consider and .

which becomes .

which becomes .

The same values are multiplied together and then added. Since multiplication is commutative, so is the dot product.

This process of finding the dot product does not involve the angle between two vectors.

**To find the dot product without an angle, simply multiply the ‘i’ components, multiply the ‘j’ components and add the results.**

**The dot product of vectors is distributive, which means that aâ‹…(b + c) = aâ‹…b + aâ‹…c.**

The distributive property of the dot product can be proven like so:

Consider the three vectors a, b and c where , and .

The dot product of a and b is: .

The dot product of a and c is: .

Adding these two results, we obtain: .

We will refer back to this result later.

Now, when we add vectors b and c, we obtain: .

The dot product of a with (b + c) results in: .

Expanding this out we obtain: .

This is the same result as obtained previously for .

Therefore .

**The dot product is used to indicate the strength of the alignment of two vectors of fixed magnitude. Therefore if the size of the vector is fixed, the larger the dot product, the more aligned the two vectors are.**

In physics, the dot product has a real world application in finding the optimal angle for the positioning of solar panels in dynamic situations. The larger the dot product, the more aligned the direction of the panel is with the direction of the light from the sun.

Further applications of the scalar product include maximising or minimising the impact of the direction of a water current or wind on a given vehicle or object.

The dot product is often used in mathematics as a means to calculate the angle between two vectors.

## Scalar Product of Two Vectors Formula

**The formula for the scalar product is aâ‹…b = âˆ‘a_{i} b_{i}. That is for 2D vectors: a = a_{x} i + a_{y} j and b = b_{x} i + b_{y} j, the dot product is aâ‹…b = a_{x} b_{x} + a_{y} b_{y}. For 3D vectors: a = a_{x} i + a_{y} j + a_{z} k and b = b_{x} i + b_{y} j + b_{z} k, the dot product aâ‹…b = a_{x} b_{x} + a_{y} b_{y} + a_{z} b_{z}.**

Formula for the Scalar Product of Two Vectors

In this formula, the sigma sign ‘Î£’ means to add up.

a_{i} b_{i} means to multiply the corresponding components of the two vectors together.

That is, multiply the numbers in the *‘i’* components together and add this result to the numbers in the *‘j’* components added together.

### Formula for the Dot Product in 2 Dimensions

**The formula for any two 2D vectors given as: a = a _{x} i + a_{y} j and b = b_{x} i + b_{y} j, the dot product is aâ‹…b = a_{x} b_{x} + a_{y} b_{y}.**

The formula for the dot product of two vectors in 2D is:

The formula for the dot product in 2 dimensions

For example, consider the vectors: and .

Therefore the formula of becomes .

The dot product of the two vectors is equal to 10.

### Formula for the Dot Product in 3 Dimensions

**For any two 3D vectors given as: a = a _{x} i + a_{y} j + a_{z} k and b = b_{x} i + b_{y} j + b_{z} k, the dot product aâ‹…b = a_{x} b_{x} + a_{y} b_{y} + a_{z} b**

_{z}.

The formula for the dot product of two vectors in 3D is:

The formula for the dot product in 3 dimensions

For example, consider the two 3D vectors given as: and .

Therefore, the formula of becomes:

The dot product of the two vectors equals -12.

## How to Find the Scalar Product

**To find the scalar product of two vectors, a = a_{x} i + a_{y} j + a_{z} k and b = b_{x} i + b_{y} j + b_{z} k, the dot product aâ‹…b = a_{x} b_{x} + a_{y} b_{y} + a_{z} b_{z}. In simple terms, multiply the numbers in the i components together, multiply the numbers in the j components together,**

**multiply the numbers in the k components together then add the results.**

For example, calculate the scalar product of and .

- We multiply the
*‘i’*components so that 2Ã—3 = 6. - We multiply the
*‘j’*components so that 3Ã—10 = 30. - We multiply the
*‘k’*components so that 5Ã—2 = 10. - We add these results so that 6 + 30 + 10 = 46.

The scalar product of the two vectors equals 46.

**For two vectors in 2D, the dot product is found by multiplying the corresponding ‘i’ components of the two vectors together, multiplying the corresponding ‘j’ components of the two vectors together and then adding the resuts.**

For example, find the dot product of and .

- Multiplying the
*‘i’*components, we obtain 3 Ã— 5 = 15. - Multiplying the
*‘j’*components, we obtain 2 Ã— 4 = 8. - Adding the two results together, we obtain the dot product as 15 + 8 = 23.

Here is another example of calculating the scalar product.

Calculate the scalar product of a = 4i – 3j and b = i + j.

- Multiplying the
*‘i’*components, we obtain 4 Ã— 1 = 4. - Multiplying the
*‘j’*components, we obtain -3 Ã— 1 = -3. - The scalar product is found by adding these results so that 4 – 3 = 1.

The scalar product of the two vectors equals 1.

## Calculating the Dot Product of 3D Vectors

**For two 3D vectors: a = a_{x} i + a_{y} j + a_{z} k and b = b_{x} i + b_{y} j + b_{z} k, the dot product is given by aâ‹…b = a_{x} b_{x} + a_{y} b_{y} + a_{z} b_{z}. For example, if a = 2i + 4j + 3k and b = i – 2j + 5k, aâ‹…b = (2)Ã—(1) + (4)Ã—(-2) + (3)Ã—(5) = 9.**

Calculate the scalar product of and .

Therefore, the formula becomes:

Therefore, the scalar product of the two vectors is equal to 9.

## Scalar Product of Two Vectors Calculator

**To use this scalar product calculator, enter the i, j and k components of vector A and vector B respectively. The calculator will automatically calculate the scalar product.**

## How to Find the Dot Product from their Magnitude and Angle

**To calculate the dot product of two vectors when given their magnitudes ( |a| and |b| ) and the angle between them (Î¸**)

**, use the formula aâ‹…b=|a||b|cos**.

**Î¸**The scalar product of two vectors from an angle

For example, consider the vectors where vector a has a magnitude of |a| = 5 and vector b has a magnitude of |b| = 4.

The angle between the vectors is known to be Î¸ = 60Â°.

To calculate the dot product of two vectors in this manner, their magnitudes and the angle between them must be known.

Therefore, the formula becomes .

and so:

.

The dot product of the two vectors is equal to 5.

## Proof of the Scalar Product Rule

Consider the formula for the scalar product: .

The unit vector i has a modulus of 1.

The angle between the unit vector i and itself is 0Â°.

Therefore, the formula becomes . Evaluating this, we obtain .

In a similar manner, and .

The unit vector i and the unit vector j both has a modulus of 1.

These vectors are perpendicular to each other and so, the angle between them is 90Â°.

Therefore the formula becomes . Evaluating this, .

In a similar manner, and .

Now consider two vectors and .

Therefore, the dot product becomes .

Expanding this, we obtain:

.

This can be written by collecting the i, j and k unit vectors as so:

Now we substitute the results from above. That is:

- , and .
- , , , , and .

The formula simplifies to:

We can write this as out final formula like so:

**The dot (scalar) product always produces a scalar result by definition. The reason the dot product is always scalar is because all vector quantities are evaluated in the calculation. Parallel components such as iâ‹…i = 1, whereas perpendicular components such as iâ‹…j = 0.**

The dot product is always a scalar quantity, whereas the cross product of vectors is used to obtain a vector quantity. The dot product is a measure of how aligned two vectors are, whereas the cross product describes a vector that is perpendicular to the two given vectors.