Multiplication Of Vectors by a Scalar Quantity

Multiplication Of Vectors by a Scalar Quantity

Edited By Komal Miglani | Updated on Jul 02, 2025 07:37 PM IST

A quantity that has magnitude but no direction is called a scalar quantity (or scalar), e.g., mass, volume, density, speed, etc. 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. Multiplication of vector quantity with scalar quantity results in vector quantity. In real life, we use vectors for tracking objects that are in motion, and localization of places and things.

This Story also Contains
  1. Multiplication of a vector by a scalar
  2. Geometric visualization of the multiplication of a vector by a scalar
  3. Vector Quantity
  4. Representation of a Vector
  5. Components of Vector
  6. Solved Examples Based on Multiplication Of Vectors And Scalar Quantity
Multiplication Of Vectors by a Scalar Quantity
Multiplication Of Vectors by a Scalar Quantity

In this article, we will cover the concept of Multiplication of a Vector by a Scalar. 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 fifteen questions have been asked on this topic in JEE Main from 2013 to 2023 including one in 2014, one in 20217, and two in 2019.

Multiplication of a vector by a scalar

If a is a vector and "λ" is a scalar (i.e. a real number), then λa is a vector whose magnitude is |λ| times that of a and whose direction is the same (or opposite) that of a according as the value of λ is positive (or negative).

Then the product of vector a by scalar λ denoted by is called the multiplication of vector a by the scalar λ. Also, the magnitude of vector λ*a is |λ| times the magnitude of vector a.

Note that λa is collinear to the vector a.

If

$
\tilde{\mathbf{a}}=\mathrm{a}_1 \hat{\mathbf{i}}+\mathrm{a}_2 \hat{\mathbf{j}}+\mathrm{a}_3 \hat{\mathbf{k}}
$

then,

$
\lambda \tilde{\mathbf{a}}=\left(\lambda \mathrm{a}_1\right) \hat{\mathbf{i}}+\left(\lambda \mathrm{a}_2\right) \hat{\mathbf{j}}+\left(\lambda \mathrm{a}_3\right) \hat{\mathbf{k}}
$

Properties of multiplication of a vector by a scalar $a$ and $b$ are vectors, $\lambda$ and $\gamma$ are scalars.
1. $\lambda(-\tilde{\mathbf{a}})=(-\lambda)(\tilde{\mathbf{a}})=-(\lambda \tilde{\mathbf{a}})$
2. $(-\lambda)(-\tilde{\mathbf{a}})=\lambda \tilde{\mathbf{a}}$
3. $\quad \lambda(\gamma \tilde{\mathbf{a}})=(\lambda \gamma)(\tilde{\mathbf{a}})=\gamma(\lambda \tilde{\mathbf{a}})$
4. $(\lambda+\gamma) \tilde{\mathbf{a}}=\lambda \tilde{\mathbf{a}}+\gamma \tilde{\mathbf{a}}$
5. $\quad \lambda(\tilde{\mathbf{a}}+\tilde{\mathbf{b}})=\lambda(\tilde{\mathbf{a}})+\lambda(\tilde{\mathbf{b}})$

Geometric visualization of the multiplication of a vector by a scalar

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.

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, $\mathrm{a}=\mathrm{AB}$, and the magnitude (or modulus) of vector a is denoted as
(Distance between the initial and terminal point).
The arrow indicates the direction of the vector.

Components of Vector

Let the points $A(1,0,0), B(0,1,0)$ and $C(0,0,1)$ on the $x$-axis, $y$-axis and $z$-axis, respectively. Then, clearly.
$|\overrightarrow{O X}|=1 .|\overrightarrow{O B}|=1$ and $|\overrightarrow{O C}|=1$

The vectors, $\overrightarrow{O A}, \overrightarrow{O B}$ and $\overrightarrow{O C}$ each having magnitude 1 , are called unit vectors along the axes OX, OY, and OZ, respectively, and denoted by $\hat{\mathrm{i}} \hat{\mathrm{j}}$, and $\hat{\mathbf{k}}$ respectively.
Similarly $\overrightarrow{\mathrm{QP}}_1=\overrightarrow{\mathrm{OS}}=y \hat{\mathbf{j}}$ and $\overrightarrow{\mathrm{OQ}}=x \hat{\mathbf{i}}$

Therefore,

$
\begin{aligned}
& \overrightarrow{\mathrm{OP}_1}=\overrightarrow{\mathrm{OQ}}+\overrightarrow{\mathrm{QP}_1}=x \hat{i}+y \hat{j} \\
& \overrightarrow{\mathrm{OP}}=\overrightarrow{\mathrm{OP}_1}+\overrightarrow{\mathrm{P}_1 \mathrm{P}}=x \hat{i}+y \hat{j}+z \hat{k}
\end{aligned}
$

Hence, the position vector of P with reference to O is given by

$
\overrightarrow{\mathrm{OP}}(\text { or } \vec{r})=x \hat{i}+y \hat{j}+z \hat{k}
$

And, the length of any vector $\vec{r}=x \hat{i}+y \hat{j}+z \hat{k}$ is given by

$
|\vec{r}|=|x \hat{i}+y \hat{j}+z \hat{k}|=\sqrt{x^2+y^2+z^2}
$

Recommended Video Based on Multiplication of Vectors and Scalar Quantity


Solved Examples Based on Multiplication Of Vectors And Scalar Quantity

Example 1: Let $\vec{a}-2 \hat{i}+\lambda_1 \vec{j}+3 \hat{k} \cdot \vec{b}=1 \hat{i}+\left(3-\lambda_2\right) \hat{j}+6 \hat{k}$ and $\vec{c}=3 \hat{i}+6 \hat{j}+\left(\lambda_i-1\right) k$ be three vectors such that $\vec{b}=2 \vec{a}$
[JEE MAINS 2019]
and 2 is perpendicular to Then a possible value of is:

Solution: Given, $\square$
$4+\left(3-\lambda_2\right) 2+6 k=4 i+2 \lambda_i+6 \lambda$
E23-xin
$E>2 \lambda_1+\lambda_2=3 \ldots \ldots \ldots \ldots \ldots \ldots \ldots \ldots \ldots \ldots(1)$
Given and $\vec{C}$ is perpendicular
So. ${ }_2^2=0$
$E 36^2+6 \lambda 1+3(\lambda u-1)=0$
Now,
$\left.\sum_1 \lambda_2 \lambda_n\right)=\left(\lambda_1, 3-2 \lambda_1-1-2 \lambda_1\right.$
$\left.\frac{-1}{2}, 1,0\right)$
satisties this.
Hence, the answer is $(-1 / 2,4,0)$

Example 2: Let $\vec{\alpha}=(\lambda-2) \vec{a}+\vec{b}$ and $\vec{\beta}=(4 \lambda-2) \vec{a}+3 \vec{b}$ be two given vectors where vectors $\vec{a}$ and $\vec{b}$ are non-collinear. The value of $\lambda$ for which vectors $\vec{\alpha}$ and $\vec{\beta}$ are collinear is:
SolutionGiven vectors are

$
\begin{aligned}
& \vec{\alpha}=(\lambda-2) \vec{a}+\vec{b} \\
& \vec{\beta}=(4 \lambda-2) \vec{a}+3 \vec{b}
\end{aligned}
$

As $\vec{\alpha}, \vec{\beta}$ are collinear, and $\vec{\alpha}$ and $\vec{b}$ are non-collinear, hence:

$
\begin{aligned}
& \frac{\lambda-2}{4 \lambda-2}=\frac{1}{3} \\
& \Rightarrow \lambda=-4
\end{aligned}
$

Hence, the answer is -4
Example 3: Let $\vec{a}, \vec{b}$ are such two vectors such that $\vec{b}=5 \vec{a}$ and $|\vec{a}|=2$ than $|\vec{b}|_{\text {equals: }}$
Solution: Scalar multiplication - If $\vec{a}$ is a vector and $m$ is a scalar, then $m \vec{a}$ is a vector whose modulus is $m$ times $\vec{a}$.

$
\because \vec{b}=5 \vec{a} \Rightarrow|\vec{b}|=5|\vec{a}| \Rightarrow|\vec{b}|=5 \times 2=10
$

Hence, the answer is 10

Example 4: The non-zero vectors $\vec{a}, \vec{b}$ and $\vec{c}$ are related by $\vec{a}=8 \vec{b}$ and $\vec{c}=-7 \vec{b}$. Then the angle between $\vec{a}$ and $\vec{c}$ is
Solution: Collinear Vectors - Two vectors are said to be collinear if and only if there exists a scalar m such as that $\vec{a}=m \vec{b}, \mathrm{~m}$ is a Scalar.

$
\begin{aligned}
& \vec{a} \cdot \vec{c}=8 \vec{b}(-7 \vec{b}) \\
= & -56|\vec{b}|^2<0
\end{aligned}
$

Also $\vec{a}$ and $\vec{b}$ collinear where as $\vec{b}$ and $\vec{c}$ collinear
$\Rightarrow \vec{a}$ and $\vec{c}$ collinear
So, the angle between $\vec{a}$ and $\vec{c}=\pi$
Hence, the answer is $\pi$
Example 5: If $\vec{a}=2 \hat{i}-3 \hat{j}+\hat{k}, \vec{b}=\hat{i}+\hat{j}-\hat{k}$, then $2 \vec{a}+4 \vec{b}$ equals
Solution: $2 \vec{a}=4 \hat{i}-6 \hat{j}+2 \hat{k}, 4 \vec{b}=4 \hat{i}+4 \hat{j}-4 \hat{k}$

$
\therefore 2 \vec{a}+4 \vec{b}=8 \hat{i}-2 \hat{j}-2 \hat{k}
$

Hence, the answer is $8 \hat{i}-2 \hat{j}-2 \hat{k}$

Frequently Asked Questions (FAQs)

1. What is the multiplication of vector and scalar quantity?

The product of vector a by scalar $\lambda$ denoted by is called the multiplication of vector a by the scalar $\lambda$. Also, the magnitude of vector $\lambda^*$ a is $|\lambda|$ times the magnitude of vector a.

2. If $a$ and $b$ are vectors, and $\lambda$ is scalar, what is the value of $\lambda(a+b)$ ?

 If $a$ and $b$ are vectors, $\lambda$ is scalar, $\lambda(a+b)=\lambda a+\lambda b$.

3. If $a$ is a vector, $\lambda$, and $y$ are scalars what is the value of $(\lambda+\gamma) a$ ?

 If $a$ is a vector, $\lambda$, and $\gamma$ are scalars the value of $(\lambda+\gamma) a=\lambda a+a y$.

4. What is the geometric interpretation of multiplying a vector by a scalar?
Multiplying a vector by a scalar changes the vector's magnitude and potentially its direction. If the scalar is positive, the vector's length is scaled while maintaining its original direction. If the scalar is negative, the vector's length is scaled and its direction is reversed. A scalar of zero results in a zero vector.
5. How does multiplying a vector by -1 affect the vector?
Multiplying a vector by -1 reverses its direction while maintaining its magnitude. This operation is equivalent to rotating the vector by 180 degrees.
6. How does scalar multiplication affect the magnitude of a vector?
The magnitude of a vector multiplied by a scalar k is equal to the absolute value of k times the original magnitude. If |k| > 1, the magnitude increases; if 0 < |k| < 1, the magnitude decreases.
7. How does scalar multiplication affect parallel and perpendicular vectors?
Scalar multiplication preserves the parallel or perpendicular relationship between vectors. If two vectors are parallel (or perpendicular), they will remain parallel (or perpendicular) after being multiplied by the same or different scalars.
8. Can scalar multiplication be used to represent vector projection?
Yes, scalar multiplication is used in vector projection. The projection of vector a onto vector b is represented as (a · b̂)b̂, where b̂ is the unit vector in the direction of b, and (a · b̂) is a scalar.
9. Can multiplying a vector by a scalar change its direction?
Yes, multiplying a vector by a negative scalar changes its direction. Positive scalars only change the magnitude, while keeping the direction the same.
10. What happens when you multiply a vector by zero?
When a vector is multiplied by zero, the result is always the zero vector, regardless of the original vector's magnitude or direction. This operation effectively "cancels out" the vector.
11. How does scalar multiplication affect the components of a vector?
When a vector is multiplied by a scalar, each component of the vector is multiplied by that scalar. For example, if vector v = (a, b, c) is multiplied by scalar k, the result is kv = (ka, kb, kc).
12. Is vector multiplication by a scalar commutative?
Yes, vector multiplication by a scalar is commutative. This means that for a vector v and a scalar k, kv = vk. The order of multiplication doesn't affect the result.
13. How does scalar multiplication relate to vector addition?
Scalar multiplication distributes over vector addition. This means that k(u + v) = ku + kv, where k is a scalar and u and v are vectors.
14. Can scalar multiplication change a vector's dimensionality?
No, scalar multiplication cannot change a vector's dimensionality. A 2D vector remains 2D, and a 3D vector remains 3D after scalar multiplication.
15. How is scalar multiplication used in physics equations involving vectors?
In physics, scalar multiplication is often used to represent forces, velocities, or other vector quantities that are scaled by a physical constant or variable. For example, F = ma uses scalar multiplication to relate force (F) to mass (m) and acceleration (a).
16. Can scalar multiplication be used to find a unit vector?
Yes, scalar multiplication can be used to find a unit vector. By multiplying a vector by the reciprocal of its magnitude (1/|v|), you obtain a unit vector in the same direction as the original vector.
17. What's the geometric meaning of multiplying a vector by a fractional scalar?
Multiplying a vector by a fractional scalar between 0 and 1 shortens the vector while maintaining its direction. It's like taking a fraction of the original vector's length.
18. How does scalar multiplication affect vector normalization?
Vector normalization involves scalar multiplication. To normalize a vector v, you multiply it by 1/|v|, where |v| is the vector's magnitude. This results in a unit vector in the same direction as v.
19. How does scalar multiplication affect the properties of a zero vector?
Multiplying a zero vector by any scalar always results in a zero vector. This is because a zero vector has no magnitude or direction to scale.
20. What's the difference between scalar multiplication and the dot product?
Scalar multiplication involves multiplying a vector by a scalar, resulting in a vector. The dot product, on the other hand, involves multiplying two vectors, resulting in a scalar.
21. What's the relationship between scalar multiplication and vector scaling?
Scalar multiplication is the mathematical operation used to perform vector scaling. When we talk about "scaling" a vector, we're essentially multiplying it by a scalar.
22. How does scalar multiplication affect the angle between two vectors?
Scalar multiplication of individual vectors does not change the angle between them, unless one of the scalars is negative (which would flip one vector's direction) or zero (which would make the angle undefined).
23. What's the difference between multiplying a vector by a positive scalar and a negative scalar?
Multiplying a vector by a positive scalar changes only its magnitude, while multiplying by a negative scalar changes both its magnitude and direction (reversing it).
24. How does scalar multiplication interact with the cross product?
Scalar multiplication distributes over the cross product. For vectors a and b and scalar k, we have k(a × b) = (ka) × b = a × (kb).
25. How does scalar multiplication interact with the vector triple product?
Scalar multiplication distributes over the vector triple product. For vectors a, b, c and scalar k, we have k(a · (b × c)) = (ka) · (b × c) = a · (k(b × c)).
26. How does scalar multiplication affect the determinant of a matrix?
When a row or column of a matrix is multiplied by a scalar k, the determinant of the resulting matrix is k times the original determinant. This is a key property in linear algebra.
27. Can scalar multiplication be used to represent vector division?
While there's no direct "vector division," scalar multiplication can be used to represent the concept. Dividing a vector v by a scalar k is equivalent to multiplying v by 1/k (assuming k ≠ 0).
28. Can scalar multiplication be used to represent vector reflection?
While scalar multiplication alone can't represent reflection, it's part of the process. Reflection of a vector v across a line with unit normal n is given by v - 2(v · n)n, where scalar multiplication is used in the 2(v · n) term.
29. How does scalar multiplication relate to vector decomposition?
In vector decomposition, a vector is expressed as a sum of component vectors. Each component vector can be represented as a scalar multiple of a unit vector in the desired direction.
30. What happens when you multiply two vectors element-wise?
Element-wise multiplication of vectors is not scalar multiplication. It results in a new vector where each component is the product of the corresponding components of the original vectors. This is different from both scalar multiplication and the dot product.
31. How does scalar multiplication affect the linear independence of vectors?
Scalar multiplication (except by zero) preserves linear independence. If a set of vectors is linearly independent, multiplying any of these vectors by non-zero scalars will result in a new set that is also linearly independent.
32. Can scalar multiplication be used to solve vector equations?
Yes, scalar multiplication is often used in solving vector equations. For example, to solve av = b for v (where a is a scalar), you would multiply both sides by 1/a: v = (1/a)b.
33. How does scalar multiplication interact with vector-valued functions?
When a vector-valued function f(t) is multiplied by a scalar k, each component function is multiplied by k. So if f(t) = [f1(t), f2(t), f3(t)], then kf(t) = [kf1(t), kf2(t), kf3(t)].
34. What's the relationship between scalar multiplication and vector magnitude?
The magnitude of a vector multiplied by a scalar k is equal to |k| times the original magnitude. Mathematically, |kv| = |k| · |v|, where |v| represents the magnitude of vector v.
35. How does scalar multiplication affect the properties of orthogonal vectors?
Scalar multiplication preserves orthogonality. If two vectors are orthogonal (perpendicular), they will remain orthogonal after being multiplied by any non-zero scalars.
36. Can scalar multiplication be used to represent vector rotation?
Scalar multiplication alone cannot represent rotation. However, it's used in rotation matrices, which can rotate vectors. For example, in 2D, rotation by an angle θ uses the matrix [cos θ, -sin θ; sin θ, cos θ], which involves scalar multiples of sine and cosine.
37. What's the geometric interpretation of multiplying a vector by a complex number?
While not typically considered scalar multiplication, multiplying a 2D vector by a complex number a + bi is equivalent to scaling the vector by |a + bi| and rotating it by arg(a + bi).
38. How does scalar multiplication affect the span of a set of vectors?
Scalar multiplication of individual vectors in a set does not change the span of the set, as long as no vector is multiplied by zero. The span will contain the same linear combinations, just with different scalars.
39. Can scalar multiplication be used to represent vector projection in higher dimensions?
Yes, the concept of vector projection using scalar multiplication extends to higher dimensions. The projection of vector a onto vector b in any dimension is given by (a · b / |b|^2) * b, where the term in parentheses is a scalar.
40. How does scalar multiplication relate to vector differentiation and integration?
In vector calculus, scalar multiplication distributes over differentiation and integration. For a vector function v(t) and scalar k, d/dt(kv) = k(dv/dt) and ∫kv dt = k∫v dt.
41. What's the significance of scalar multiplication in linear transformations?
Scalar multiplication is a fundamental linear transformation. It satisfies the properties of linearity: f(x + y) = f(x) + f(y) and f(kx) = kf(x) for any scalar k.
42. Can scalar multiplication be used to represent vector interpolation?
Yes, scalar multiplication is used in vector interpolation. Linear interpolation between vectors v and w can be represented as (1-t)v + tw, where t is a scalar between 0 and 1.
43. How does scalar multiplication interact with the gradient of a scalar field?
The gradient of a scalar multiple of a scalar field is the scalar multiple of the gradient of the field. In other words, ∇(kf) = k∇f, where k is a constant and f is a scalar field.

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