Vector and Scalar - Definition, Vector Addition and Subtraction, Differences, Solved Problems

Vector and Scalar - Definition, Vector Addition and Subtraction, Differences, Solved Problems

Edited By Komal Miglani | Updated on Jul 02, 2025 07:36 PM IST

In our day-to-day life, we come across many questions such as 'What is your height?' and 'How should a football player hit the ball to give a pass to another player on his team?" Observe that a possible answer to the first query may be 1.5 m, a quantity that involves only one value (magnitude) which is a real number. Such quantities are called scalars. However, an answer to the second query is a quantity (called force) which involves muscular strength (magnitude) and direction (in which another player is positioned). Such quantities are called vectors. In real life, we use vectors for tracking objects that are in motion, and localization of places and things.

This Story also Contains
  1. Physical quantities
  2. Representation of a Vector
  3. Position Vector
  4. Vector Addition and Subtraction
  5. Difference Between Scalars and Vectors
  6. Solved Examples Based on Vectors and Scalars
Vector and Scalar - Definition, Vector Addition and Subtraction, Differences, Solved Problems
Vector and Scalar - Definition, Vector Addition and Subtraction, Differences, Solved Problems

In this article, we will cover the concept of Vectors and Scalars. This topic falls under the broader category of Vector Algebra, which is a crucial chapter in Class 11 Mathematics. This is very important not only for board exams but also for competitive exams, which even include the Joint Entrance Examination Main and other entrance exams: SRM Joint Engineering Entrance, BITSAT, WBJEE, and BCECE. A total of seven questions have been asked on this topic in JEE Main from 2013 to 2023 including two in 2021.

Physical quantities

A quantity can have magnitude or both magnitude and directions based on that quantity are divided into two categories- Scalar quantities and Vector quantities

Scalar Quantity

A quantity that has magnitude but no direction is called a scalar quantity (or scalar), e.g., mass, volume, density, speed, etc. A scalar quantity is represented by a real number along with a suitable unit.

Vector Quantity

A quantity that has magnitude as well as a direction in space and follows the triangle law of addition is called a vector quantity, e.g., velocity, force, displacement, etc.

In this text, we denote vectors by boldface letters, such as a or $\vec{a}$.

Representation of a Vector

A vector is represented by a directed line segment (an arrow). The endpoints of the segment are called the initial point and the terminal point of the vector. An arrow from the initial point to the terminal point indicates the direction of the vector.

The length of the line segment represents its magnitude. In the above figure, a = AB, and the magnitude (or modulus) of vector a is denoted as $|\vec{a}|=|\overrightarrow{A B}|=A B$ (Distance between the Initial and terminal point).

The arrow indicates the direction of the vector.

Position Vector

In two dimensional system

Let P be any point in the x-y plane, having coordinates (x, y) with respect to the origin O(0, 0, 0).

Then, the vector $\overrightarrow{O P}$ having O and P as its initial and terminal points, respectively, is called the position vector of the point P with respect to O.

It can also be expressed as $\overrightarrow{O P}=\vec{r}=x \hat{\mathbf{i}}+y \hat{\hat{\mathbf{i}}}$. The vectors $x \hat{\mathbf{i}}$ and $y \hat{j}$ are called the perpendicular components of vector r. Where $\hat{\mathbf{i}}$ and $\hat{\mathbf{j}}$ are unit vectors (vectors of length equal to 1) parallel to the positive X -axis and positive Y -axis respectively.

The magnitude of $\tilde{\mathbf{r}}=\sqrt{\mathrm{x}^2+\mathrm{y}^2}$ and if $\theta$ is the inclination of $\tilde{\mathbf{r}}$ w.r.t. $\mathrm{X}-$ axis, then, $\theta=\tan ^{-1}\left(\frac{\mathrm{y}}{\mathrm{x}}\right)$.

In three dimensional system

Let P be any point in space, having coordinates (x, y, z) with respect to the origin O(0, 0, 0).

Then, the vector $\overrightarrow{O P}$ having O and P as its initial and terminal points, respectively, is called the position vector of the point P with respect to O.

OP vector can also be expressed as $\overrightarrow{O P}=\vec{r}=x \hat{\mathbf{i}}+y \hat{\mathbf{j}}+z \hat{\mathbf{k}}$

This form of any vector is called its component form. Here, x, y, and z are called the scalar components.

Sometimes x, y, and z are also called rectangular components.

Using the distance formula, the magnitude of $\overrightarrow{O P}$ or $\vec{r}$ is given by

$\overrightarrow{\mathrm{OP}} \mid=\sqrt{x^2+y^2+z^2}$

Where $\hat{\mathbf{i}}, \hat{\mathbf{j}}$ and $\hat{\mathbf{k}}$ are unit vectors parallel to the positive $X$-axis, $Y$-axis, and $Z$-axis respectively.

Vector Addition and Subtraction

Vector addition is the operation in which two vectors are added to get their sum. Since each vector may have its own direction, the process of addition of vectors is different from adding two scalars.

If a and b are two vectors, then their subtraction, or difference is called vector subtraction $\vec{a}-\vec{p}$ is defined as $\vec{a}+(-\vec{b})$, where $(-\vec{b})$ is the negative of vector b has equal magnitude but opposite direction that of b. Graphically, it is depicted by drawing a vector from the terminal point of b to the terminal point of a.

Difference Between Scalars and Vectors

The difference between Scalars and Vectors is given below:

Vector Scalar
A physical quantity with both magnitude and direction. A physical quantity with only magnitude.
Represented by a number (magnitude), direction using a unit cap or arrow at the top and unit Represented by a number (magnitude) and unit
Quantity symbol in bold and an arrow sign above Quantity symbol
Example- Velocity and Acceleration Example- Mass and Temperature
Direction is required Direction not required


Recommended Video Based on Vectors and Scalars

Solved Examples Based on Vectors and Scalars

Example 1: Let O be the origin. Let $\mathrm{t} \overrightarrow{O P}=x \hat{i}+y \hat{j}-\hat{k}$ and $\overrightarrow{O Q}=-\hat{i}+2 \hat{j}+3 x \hat{k}, x, y \in R, x>0$ be such that $\overrightarrow{P Q}=\sqrt{20}$ and the vecto$\overrightarrow{Q P}$ is perpendicular to $\overrightarrow{O Q} \cdot$ If $\overrightarrow{O R}=3 i+z \hat{j}-7 \hat{k}, z c R$ is coplanar with $\overrightarrow{O P}$ and $\overrightarrow{O Q}$, then the value of $\vec{N}^2+y^2+z^2$ is equal to : [JEE MAINS 2021]

1) $9$

2) $7$

3) $2$

4) $1$

Solution

$\overrightarrow{\mathrm{OP}}=x \hat{i}+y \hat{j}-\hat{k}$ and $\overrightarrow{\mathrm{OQ}}=-\hat{i}+2 \hat{\mathrm{j}}+3 x \hat{k}$

and

$\mathrm{OP} \perp \mathrm{OQ}$
so, $-x+2 y-3 x=0 \Rightarrow y=2 x$

$\begin{aligned} & \overrightarrow{P Q}=\overrightarrow{O P}-\overrightarrow{O Q} \\ & \overrightarrow{P Q}=(\mathrm{x}+1) \hat{\mathrm{i}}+(\mathrm{y}-2) \hat{\mathrm{j}}+(3 \mathrm{x}+1) \hat{\mathrm{k}}\end{aligned}$

$\begin{aligned} & |\overrightarrow{P Q}|=\sqrt{20} \\ & (x+1)^2+(y-2)^2+(3 x+1)^2=20 \\ & (x+1)^2+(2 x-2)^2+(3 x+1)^2=20 \\ & 14 x^2+6=20 \Rightarrow x^2=1 \\ & \Rightarrow x=1, y=2\end{aligned}$

$\overrightarrow{\mathrm{OP}}, \overrightarrow{\mathrm{OQ}}, \overrightarrow{\mathrm{OR}}$ are coplanar

$
\begin{aligned}
& \Rightarrow\left|\begin{array}{ccc}
\mathrm{x} & \mathrm{y} & -1 \\
-1 & 2 & 3 \mathrm{x} \\
3 & \mathrm{z} & -7
\end{array}\right|=0 \\
& \Rightarrow\left|\begin{array}{ccc}
1 & 2 & -1 \\
-1 & 2 & 3 \\
3 & z & -7
\end{array}\right|=0
\end{aligned}
$

$\begin{aligned} & \Rightarrow 1(-14-3 z)-2(7-9)-1(-z-6)=0 \\ & \Rightarrow z=-2 \\ & \therefore x^2+y^2+z^2=1+4+4=9\end{aligned}$

Hence, the answer is option 1) 9

Example 2: A vector $\vec{d}$ has components 3p and 1 with respect to a rectangular cartesian system. This system is rotated through a certain angle about the origin in the counterclockwise sense. If, with respect to the new system, $\vec{a}$ has components $p+1$ and $\sqrt{10}$, then a value of $p$ is equal to: [JEE MAINS 2021]

|1) 1
2) -1
3) $\frac{4}{5}$
4) $-\frac{5}{4}$

Solution: Given

$\begin{aligned} & \vec{A}=3 p \hat{i}+\hat{\mathrm{j}}, \\ & \overrightarrow{A^{\prime}}=(\mathrm{p}+1) \hat{i}+\sqrt{10} \hat{j} \\ & \overrightarrow{\mathrm{A}}|=| \vec{A}^{\prime} \mid,(\text { No Change in magnitude })\end{aligned}$

$\begin{aligned} & \Rightarrow \sqrt{9 p^2+1}=\sqrt{(p+1)^2+10} \\ & 9 \mathrm{p}^2+1=\mathrm{p}^2+2 \mathrm{p}+1+10 \\ & 8 \mathrm{p}^2-2 \mathrm{p}-10=0 \\ & 4 \mathrm{p}^2-\mathrm{p}-5=0 \\ & (4 \mathrm{p}-5)(\mathrm{p}+1)=0 \\ & \mathrm{p}=-1, \mathrm{p}=\frac{5}{4}\end{aligned}$

Hence, the answer is option 2) -1

Example 3: Which of the following can't be represented using a directed line segment?

1) Force

2) Velocity

3) Acceleration

4) Mass

Solution: We know that Directed line segment - A is called the initial point and B is called the terminal point.

Mass has no direction, so it can't be represented using a directed line segment

Hence, the answer is option 4) Mass

Example 4: Which of the following are not scalars?

1) Velocity

2) Mass

3) Temperature

4) None of these

Solution: Velocity has magnitude as well as direction, but mass & temperature don't have direction

Hence, the answer is the option (1).

Example 5: Which of the following are not vectors?

1) Velocity

2) Force

3) Acceleration

4) Mass

Solution: Velocity, Force & acceleration all have magnitudes and directions, only mass doesn't have a direction so it is not a vector.

Hence, the answer is the option (4).


Frequently Asked Questions (FAQs)

1. What is a scalar quantity?

A quantity that has magnitude but no direction is called a scalar quantity (or scalar), e.g., mass, volume, density, speed, etc. A scalar quantity is represented by a real number along with a suitable unit.

2. What is a Vector quantity?

 A quantity that has magnitude as well as a direction in space and follows the triangle law of addition is called a vector quantity, e.g., velocity, force, displacement, etc.

3. How vector is represented?

A vector is represented by a directed line segment (an arrow). The endpoints of the segment are called the initial point and the terminal point of the vector. An arrow from the initial point to the terminal point indicates the direction of the vector.

4. How can we express vectors in two-dimensional?

Vector can be expressed as $\overrightarrow{O P}=\vec{r}-x \hat{\mathbf{i}}+y \hat{\mathbf{j}}$. The vectors $x \hat{\mathbf{i}}$ and $y \hat{i}$ are called the perpendicular components of vector r. where $\hat{\mathbf{i}}$ and $\hat{\mathbf{j}}$ are unit vectors (vectors of length equal to 1) parallel to the positive X-axis and positive Y-axis respectively.

5. How can we express vectors in three-dimensional?

Vector can be expressed as $\overrightarrow{O P}=\vec{r}=x \hat{\mathbf{i}}+y \hat{\mathbf{j}}+z \hat{\mathbf{k}}$  Here, x, y, and z are called the scalar components. $\hat{\mathbf{i}}, \hat{\mathbf{j}}$ and $\hat{\mathbf{k}}$are unit vectors parallel to the positive X-axis, Y-axis, and Z-axis respectively.

6. What is the fundamental difference between a scalar and a vector?
A scalar is a quantity that only has magnitude, while a vector has both magnitude and direction. For example, speed is a scalar (e.g., 60 km/h), whereas velocity is a vector (e.g., 60 km/h north).
7. How does scalar multiplication affect a vector?
Scalar multiplication changes the magnitude of a vector but not its direction. Multiplying a vector by a positive scalar increases its length, while multiplying by a negative scalar reverses its direction and may change its length.
8. Can a vector have a negative magnitude? Why or why not?
No, a vector cannot have a negative magnitude. Magnitude represents the length of a vector, which is always a non-negative quantity. Negative signs in vector notation typically indicate direction, not magnitude.
9. What is the difference between a unit vector and a normalized vector?
There is no difference; these terms are synonymous. Both refer to a vector with a magnitude of 1. Any vector can be normalized by dividing it by its magnitude, resulting in a unit vector pointing in the same direction.
10. How do you determine if two vectors are parallel?
Two vectors are parallel if one is a scalar multiple of the other. Geometrically, this means they point in the same or exactly opposite directions. Algebraically, their components are proportional.
11. What is the difference between a position vector and a displacement vector?
A position vector represents the location of a point relative to the origin in a coordinate system. A displacement vector represents the change in position between two points, showing the direction and distance moved.
12. Why is it important to specify a reference frame when dealing with vectors?
A reference frame provides context for the direction and magnitude of vectors. Without it, vector quantities are ambiguous. For example, velocity is meaningless without specifying what it's relative to (e.g., ground, another moving object).
13. What is the difference between a free vector and a bound vector?
A free vector can be moved anywhere in space without changing its meaning, as long as its magnitude and direction are preserved. A bound vector has a specific starting point that is crucial to its definition, such as a position vector.
14. How does the concept of a vector field differ from individual vectors?
A vector field assigns a vector to each point in a region of space, rather than defining a single vector. It's used to describe quantities that vary continuously over space, like fluid flow or electromagnetic fields.
15. What is the physical interpretation of the dot product of two vectors?
The dot product of two vectors A and B is equal to |A| |B| cos(θ), where θ is the angle between them. It represents the product of the magnitude of one vector and the component of the other vector in its direction, often interpreted as work in physics.
16. What is the physical significance of a vector's components?
A vector's components represent its projection onto the coordinate axes. They tell us how much the vector contributes in each fundamental direction of the coordinate system, allowing us to break down complex motions or forces into simpler, analyzable parts.
17. What is the physical meaning of a negative vector?
A negative vector has the same magnitude as the original vector but points in the exactly opposite direction. For example, if vector A represents 5 m/s east, then -A represents 5 m/s west.
18. Why is it impossible to divide one vector by another?
Vector division is not defined because there's no unique inverse operation to vector multiplication. While we can multiply a vector by a scalar, there's no consistent way to define what dividing one vector by another would mean geometrically or algebraically.
19. How does scalar projection differ from vector projection?
Scalar projection gives the length of one vector's shadow cast onto another vector, resulting in a scalar value. Vector projection gives the actual vector component of one vector along the direction of another, resulting in a vector.
20. What is the significance of the magnitude of the cross product of two vectors?
The magnitude of the cross product of two vectors A and B is equal to the area of the parallelogram formed by these vectors. It's calculated as |A × B| = |A| |B| sin(θ), where θ is the angle between the vectors.
21. Can you add two vectors of different magnitudes? If so, how?
Yes, you can add vectors of different magnitudes. This is done by aligning the vectors tip-to-tail and drawing a new vector from the start of the first to the end of the last. The resulting vector represents the sum. Alternatively, you can use component-wise addition for each dimension.
22. Why is it incorrect to say that 5 m/s + 3 m/s = 8 m/s when dealing with vectors?
This statement is incorrect because it ignores the directional component of vectors. The correct sum depends on the angles between the vectors. Only when the vectors are in the same direction can you simply add their magnitudes.
23. What is the geometric interpretation of vector subtraction?
Vector subtraction can be geometrically interpreted as finding the vector that, when added to the subtrahend (the vector being subtracted), results in the minuend (the vector being subtracted from). It's often visualized as the vector from the tip of the subtrahend to the tip of the minuend.
24. What is the zero vector, and why is it important in vector algebra?
The zero vector is a vector with magnitude zero and no defined direction. It's important because it acts as the additive identity in vector algebra: adding the zero vector to any other vector leaves that vector unchanged.
25. How does the commutative property apply to vector addition?
The commutative property holds for vector addition, meaning A + B = B + A for any vectors A and B. Geometrically, this can be visualized as the parallelogram law, where the sum is the same regardless of which diagonal of the parallelogram is chosen.
26. How do you determine if a vector field is conservative?
A vector field is conservative if it has zero curl everywhere or if the line integral of the field is path-independent. Alternatively, if the field can be expressed as the gradient of a scalar potential function, it is conservative.
27. What is the significance of the Jacobian matrix in vector calculus?
The Jacobian matrix represents the best linear approximation to a vector-valued function near a given point. It's crucial in multivariate calculus, containing all first-order partial derivatives of a vector-valued function. Its determinant, the Jacobian, is used in changing variables in multiple integrals.
28. What is the significance of Stokes' theorem in vector calculus?
Stokes' theorem relates the surface integral of the curl of a vector field to the line integral of the vector field around the boundary of the surface. It generalizes the fundamental theorem of calculus to higher dimensions and is crucial in electromagnetism and fluid dynamics.
29. How do you find the angle between two vectors using the dot product?
The angle θ between two vectors A and B can be found using the formula: cos(θ) = (A · B) / (|A| |B|), where A · B is the dot product and |A| and |B| are the magnitudes of the vectors. Then, θ = arccos((A · B) / (|A| |B|)).
30. How does the cross product of two vectors differ from their dot product?
The dot product results in a scalar value representing how parallel the vectors are, while the cross product produces a new vector perpendicular to both original vectors. The dot product is commutative, but the cross product is anti-commutative.
31. How do you determine if two vectors are orthogonal (perpendicular)?
Two vectors are orthogonal if their dot product equals zero. This means that they are at right angles to each other, with no component of one vector in the direction of the other.
32. How do you add more than two vectors graphically?
To add multiple vectors graphically, place them tip-to-tail in any order. The resultant vector is drawn from the tail of the first vector to the tip of the last. This method, called the polygon method, works for any number of vectors.
33. How does the distributive property apply to vector operations?
The distributive property applies to vector operations in two ways: a(B + C) = aB + aC for scalar multiplication, and A · (B + C) = A · B + A · C for dot products. This allows us to break down complex vector expressions into simpler parts.
34. How do you determine if three vectors are coplanar?
Three vectors A, B, and C are coplanar if their scalar triple product is zero: A · (B × C) = 0. Geometrically, this means the volume of the parallelepiped formed by these vectors is zero, indicating they lie in the same plane.
35. How do you find the vector component of one vector along another vector?
To find the vector component of A along B, use the formula: (A · B / |B|^2) * B. This projects A onto B, giving a vector parallel to B with magnitude equal to the scalar projection of A onto B.
36. What is the relationship between a vector's magnitude and its components?
For a vector A with components (x, y, z), its magnitude |A| is given by the square root of the sum of the squares of its components: |A| = √(x^2 + y^2 + z^2). This is an application of the Pythagorean theorem in three dimensions.
37. How do you determine if a set of vectors forms a basis for a vector space?
A set of vectors forms a basis if they are linearly independent and span the entire vector space. To check this, ensure that no vector in the set can be expressed as a linear combination of the others, and that any vector in the space can be expressed as a linear combination of the basis vectors.
38. What is the significance of the right-hand rule in vector operations?
The right-hand rule is a convention used to determine the direction of the cross product of two vectors. It ensures consistency in defining positive directions for rotations and orientations in three-dimensional space, crucial in physics and engineering applications.
39. How does vector addition differ in polar coordinates compared to Cartesian coordinates?
In Cartesian coordinates, vector addition is done component-wise. In polar coordinates, vector addition is more complex as it involves trigonometric functions to convert between polar and Cartesian forms, add the components, and then convert back to polar form.
40. What is the physical meaning of the curl of a vector field?
The curl of a vector field measures its tendency to rotate around a point. It's a vector quantity that represents the circulation density of the field. In fluid dynamics, for example, it can indicate the presence of vortices in a fluid flow.
41. What is the difference between linear dependence and linear independence of vectors?
Vectors are linearly dependent if one can be expressed as a linear combination of the others. They are linearly independent if no vector in the set can be expressed as a linear combination of the others. Linear independence is crucial for defining basis vectors.
42. How does the concept of a vector space generalize the idea of vectors?
A vector space generalizes vectors by defining a set of objects (not necessarily arrows in space) that can be added together and multiplied by scalars, following specific axioms. This allows the application of vector concepts to more abstract mathematical structures.
43. What is the significance of the divergence of a vector field?
The divergence of a vector field measures the rate at which "flux" exits a small region around each point. It indicates whether a point acts as a source (positive divergence) or sink (negative divergence) in the field. In fluid dynamics, it can represent the rate of fluid expansion or compression.
44. How do you interpret the geometric meaning of the vector triple product?
The vector triple product A × (B × C) can be geometrically interpreted as the volume of the parallelepiped formed by the three vectors, multiplied by a unit vector. It's often simplified using the BAC-CAB rule: A × (B × C) = B(A · C) - C(A · B).
45. What is the difference between a vector and a tensor?
A vector is a first-order tensor, representing a quantity with magnitude and direction. Higher-order tensors generalize this concept to quantities that may have multiple directions or components, such as stress in materials or electromagnetic fields.
46. How does the concept of a dual vector differ from a regular vector?
A dual vector, or covector, is an entity that produces a scalar when combined with a vector. It's often represented as a row vector (as opposed to a column vector) and behaves differently under coordinate transformations. Dual vectors are important in differential geometry and physics.
47. What is the physical interpretation of the gradient of a scalar field?
The gradient of a scalar field is a vector field that points in the direction of the steepest increase of the scalar function at each point. Its magnitude represents the rate of change in that direction. For example, the gradient of temperature gives the direction of heat flow.
48. How do you determine if a vector field is solenoidal (divergence-free)?
A vector field is solenoidal if its divergence is zero everywhere. This means that the field has no sources or sinks. Mathematically, for a vector field F(x, y, z) = (P, Q, R), it's solenoidal if ∂P/∂x + ∂Q/∂y + ∂R/∂z = 0 at all points.
49. What is the relationship between linear transformations and matrices in vector algebra?
Linear transformations of vectors can be represented by matrices. Multiplying a vector by a matrix performs the linear transformation. The columns of the matrix represent the images of the standard basis vectors under the transformation.
50. How does the concept of a pseudovector (or axial vector) differ from a regular vector?
A pseudovector, unlike a regular vector, changes sign under improper rotations (reflections). Examples include angular momentum and magnetic field. This behavior is crucial in maintaining the consistency of physical laws under coordinate transformations.
51. How do you interpret the physical meaning of the Laplacian of a scalar field?
The Laplacian of a scalar field is the divergence of the gradient of the field. It measures how much the value at a point differs from the average of nearby points. In physics, it's used in heat equations, wave equations, and potential theory.
52. What is the relationship between vectors and complex numbers?
Two-dimensional vectors can be represented as complex numbers, where the real part corresponds to the x-component and the imaginary part to the y-component. This connection allows some vector operations to be performed using complex arithmetic, simplifying certain calculations.
53. How does the concept of a tensor product generalize vector multiplication?
The tensor product extends the idea of vector multiplication to create higher-order tensors. It combines two vectors (or tensors) to produce a new tensor of higher rank, preserving all the information from both original entities. This operation is fundamental in quantum mechanics and relativity.
54. How do you interpret the physical meaning of the vector potential?
The vector potential is a vector field whose curl gives another vector field. In electromagnetism, the magnetic field B is the curl of the magnetic vector potential A. The vector potential is not unique (gauge freedom) but can simplify calculations and reveal deeper symmetries in physical laws.
55. What is the relationship between vectors and quaternions in representing rotations?
Quaternions, an extension of complex numbers, can represent three-dimensional rotations more efficiently than vectors. They avoid the problem of gimbal lock and provide a more compact and computationally efficient way to compose multiple rotations, making them valuable in computer graphics and robotics.

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