Multiplication Of Vectors by a Scalar Quantity

Multiplication Of Vectors by a Scalar Quantity

Komal MiglaniUpdated on 02 Jul 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)

Q: How does scalar multiplication interact with the gradient of a scalar field?
A:
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.
Q: Can scalar multiplication be used to represent vector interpolation?
A:
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.
Q: What's the significance of scalar multiplication in linear transformations?
A:
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.
Q: What's the relationship between scalar multiplication and vector magnitude?
A:
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.
Q: How does scalar multiplication relate to vector differentiation and integration?
A:
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.
Q: Can scalar multiplication be used to represent vector projection in higher dimensions?
A:
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.
Q: How does scalar multiplication affect the span of a set of vectors?
A:
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.
Q: What's the geometric interpretation of multiplying a vector by a complex number?
A:
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).
Q: Can scalar multiplication be used to represent vector rotation?
A:
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.
Q: How does scalar multiplication affect the properties of orthogonal vectors?
A:
Scalar multiplication preserves orthogonality. If two vectors are orthogonal (perpendicular), they will remain orthogonal after being multiplied by any non-zero scalars.