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Scalar Product: Meaning, Formula & Applications

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How to Apply the Scalar Product: Step-by-Step Examples

Most of the quantities that we know are generally classified as either a scalar quantity or a vector quantity. There is a distinct difference between scalar and vector quantities. Scalar quantities are among those quantities where there is only magnitude, and no direction. Their results can be calculated directly. 


For vector quantities, magnitude and direction, both must be available. Hence, the result calculated will also be based on the direction. One can consider displacement, torque, momentum, acceleration, velocity, and force as a vector quantity. 


When it comes to calculating the resultant of vector quantities, then two types of vector product can arise. One is true scalar multiplication, which will produce a scalar product, and the other will be the vector multiplication where the product will be a vector only. 


In this article, we will discuss the scalar product in detail.


Scalar Product of Two Vectors

The Scalar product is also known as the Dot product, and it is calculated in the same manner as an algebraic operation. In a scalar product, as the name suggests, a scalar quantity is produced.


Whenever we try to find the scalar product of two vectors, it is calculated by taking a vector in the direction of the other and multiplying it with the magnitude of the first one. If direction and magnitude are missing, then the scalar product cannot be calculated for vector quantity.

To understand it in a better and detailed manner, let us take an example-


Consider an example of two vectors A and B. The dot product of both these quantities will be:-

\[\widehat{A}\] . \[\widehat{B}\] = ABcos𝜭

Here, θ is the angle between both the vectors.

For the above expression, the representation of a scalar product will be:-       

\[\widehat{A}\] . \[\widehat{B}\] = ABcos𝜭 = A(Bcos𝜭) = B(Acos𝜭)


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We all know that here, for B onto A, the projection is Bcosα, and for A onto B, the projection is Acosα. 


Now, we can clearly define the scalar product as the product of both the components A and B, along with their magnitude and their direction. For the product of vector quantities, it is important to get the magnitude and direction both.


Commutative Law

Commutative law is related to the addition or subtraction of two numbers. This law is also applicable to scalar products of vectors. This property or law simply states that a finite addition or multiplication of two real numbers stays unaltered even after reordering of such numbers. This goes with the vectors also. The result of a scalar product remains unchanged even after the reordering of vectors while extracting their product. 

\[\widehat{A}\] . \[\widehat{B}\] = \[\widehat{B}\] . \[\widehat{A}\]


Distributive Law

The distributive law simply states that if a number is multiplied by a sum of numbers, the answer would be the same if such number would have been multiplied by these numbers individually and then added. This distributive law can also be applied to the scalar product of vectors. For better understanding, have a look at the example below-

\[\widehat{A}\] . ( \[\widehat{B}\] + \[\widehat{C}\] ) = \[\widehat{A}\] . \[\widehat{B}\] + \[\widehat{A}\] . \[\widehat{C}\]

\[\widehat{A}\] . λ \[\widehat{B}\] = λ (\[\widehat{B}\] . \[\widehat{A}\])

Here, λ is the real number.

After understanding the commutative law and distributive law, we are ready to discuss the dot product of two vectors available in three-dimensional motion.


All of the three vectors should be represented in the form of unit vectors.

\[\widehat{A}\] - Axi

\[\widehat{A}\] = Axi + Ayj + Azk

\[\widehat{B}\] = Bxi + Byj + Bzk

Here,

For X- Direction the unit vector is i

For Y- Direction the unit vector is j

For Z- Direction the unit vector is k

Now, when it comes to looking at the scalar product of all these two factors, it will be given by:-

 \[\widehat{A}\] . \[\widehat{B}\] = (Axi + Ayj + Azk) . (Bxi + Byj + Bzk)

\[\widehat{A}\] . \[\widehat{B}\] = AxBx + AyBy + AzBz

Here,

\[\widehat{i}\] . \[\widehat{i}\] = \[\widehat{j}\] . \[\widehat{j}\] = \[\widehat{k}\] . \[\widehat{k}\] = 1

\[\widehat{i}\] . \[\widehat{j}\] = \[\widehat{j}\] . \[\widehat{k}\] = \[\widehat{k}\] . \[\widehat{i}\] = 0


Solved Examples 

Question :- There is a force of F = (2i + 3j + 4k) and displacement is d = (4i + 2j + 3k), calculate the angle between both of them?

Answer:- We know, A.B = AxBx + AyBy + AzBz

Thus, F.d= Fxdx + Fydy + Fzdz 

= 2*4 + 3*2 + 4*3 

= 26 units

Alternatively,

F.d= F dcosθ

Now, F² = 2² + 3² + 4²

= √29 units

Similarly, d² = 4² + 2² + 3²

= √29 units

Thus, F d cosθ = 26 units.


Vector Quantity Definition

A vector quantity is a mathematical quantity that is defined by its magnitude and direction as two distinct qualities. The magnitude of the quantity with absolute value is represented here. In contrast, direction represents the north, east, south, west, north-east, and so on.


The vector quantity follows the triangle law of addition. A vector is represented by a vector quantity depicted by an arrow placed over or next to a symbol.


Difference between a Scalar and a Vector Quantity

A scalar quantity differs from a vector quantity when it comes to direction. Vectors have direction, whereas scalars do not. Because of this property, a scalar quantity is considered to be one-dimensional, whereas a vector quantity might be multi-dimensional. Let’s understand more about the differences between scalar quantity and vectors from the table below.

Important Differences Between Scalar Quantity and Vector Quantity

In terms of the scalar and vector difference, the following points are essential:


  • The magnitude of a quantity is referred to as a scalar quantity. The vector quantity, on the other hand, considers both magnitude and direction to characterize its physical amount.

  • Scalar quantities can describe one-dimensional numbers; for example, a speed of 35 km/h is a scalar quantity. Multidimensional values, such as temperature increases and decreases, can be stated using vector quantities.

  • When only the magnitude changes, the scalar quantity changes; however, for the vector quantity, both the magnitude and direction must change.

  • Scalar quantities conduct operations using standard algebra rules such as addition, multiplication, and subtraction, whereas vector quantities do operations using vector algebra rules.


A scalar quantity can also divide another scalar amount, however, two vector quantities cannot be divided.


Scalar 

Vector

It just has magnitude.

It has both magnitude and direction.

Only one dimension

It is multidimensional

This quantity varies in proportion with the change in magnitude

This varies according to magnitude and direction.

Algebraic rules apply in this case.

Vector algebra is a separate set of rules.

One scalar quantity can divide another scalar quantity.

One vector cannot be divided by another vector.

In the case of speed, time, and so on, the distance between the points is a scalar quantity rather than the direction.

Velocity is an example since it is a measurement of the rate at which an object's position changes.


Conclusion

Vedantu aims at providing conceptual basis for topics they divulge in and Solutions to questions in an elaborate manner. You can find everything you’re looking for at Vedantu’s site, which is religiously designed by subject matter experts . These are in PDF forms and are easily downloadable for free. Students can go through these uniquely designed conceptual notes with Definitions and questions carefully and understand the tricks used to solve the sample questions. This will help them immensely in their examinations. 

FAQs on Scalar Product: Meaning, Formula & Applications

1. What is the scalar product of two vectors as per the Class 11 Physics syllabus?

The scalar product, also known as the dot product, is a way to multiply two vectors that results in a single scalar quantity (a number without direction). If you have two vectors, A and B, with an angle θ between them, their scalar product is defined as A · B = |A| |B| cos θ, where |A| and |B| are the magnitudes of the vectors.

2. How is the scalar product calculated if the vector components are known?

When vectors are given in terms of their rectangular components (i, j, k), the scalar product is calculated by multiplying their corresponding components and adding the results. For two vectors A = A_xi + A_yj + A_zk and B = B_xi + B_yj + B_zk, the scalar product is A · B = (A_x * B_x) + (A_y * B_y) + (A_z * B_z). This method is often simpler than finding the angle between the vectors.

3. What are the key properties of the scalar product?

The scalar product follows several important algebraic properties that are useful in calculations:

  • Commutative Property: The order of vectors does not matter. A · B = B · A.
  • Distributive Property: The dot product is distributive over vector addition. A · (B + C) = A · B + A · C.
  • Product with a Scalar: A scalar multiple can be grouped with either vector: (λA) · B = A · (λB) = λ(A · B).
  • Scalar Product with Itself: The dot product of a vector with itself gives the square of its magnitude: A · A = |A|².

4. Why is the dot product of two vectors called a 'scalar' product?

The operation is called the scalar product because the result is always a scalar quantity—a single number that has magnitude but no direction. For example, when calculating physical quantities like work (Force · Displacement), the result is energy (e.g., Joules), which is a scalar. This distinguishes it from the vector product, which results in a new vector quantity.

5. What is a real-world example of the scalar product in Physics?

A classic example of the scalar product is the calculation of work done by a constant force. Work (W) is the scalar product of the force vector (F) and the displacement vector (d), given by the formula W = F · d = |F| |d| cos θ. Here, even though force and displacement have specific directions, the resulting work is a scalar quantity representing energy transfer.

6. How does the angle between two vectors influence their scalar product?

The angle θ is crucial as it determines the sign and magnitude of the scalar product through its cosine:

  • If the vectors are parallel (θ = 0°), cos θ = 1, and the scalar product is maximum: A · B = |A| |B|.
  • If the vectors are perpendicular (θ = 90°), cos θ = 0, and the scalar product is zero: A · B = 0.
  • If the vectors are anti-parallel (θ = 180°), cos θ = -1, and the scalar product is negative: A · B = -|A| |B|.

7. What is the significance if the scalar product of two non-zero vectors is zero?

If the scalar product of two non-zero vectors is zero (A · B = 0), it signifies that the two vectors are orthogonal, meaning they are perpendicular to each other (the angle between them is 90°). This is a fundamental concept used to test for perpendicularity between vectors without needing to calculate the exact angle.

8. What is the main difference between the scalar (dot) product and the vector (cross) product?

The primary difference lies in the nature of their results. The scalar product (A · B) results in a scalar quantity and is used to find the projection of one vector onto another. In contrast, the vector product (A x B) results in a new vector that is perpendicular to the plane containing the original two vectors and is used in contexts involving torque or rotational motion.

9. How is the scalar product used to find the projection of one vector onto another?

The scalar product provides a direct way to find the projection of one vector onto another. The projection of vector B onto vector A is a scalar value that represents the 'shadow' of B along the direction of A. It is calculated as |B| cos θ. Using the scalar product formula, this can be found by calculating (A · B) / |A|. This is a key geometrical interpretation of the dot product.