Vector Algebra
MATHEMATICS
Nishant Vora
B.Tech - IIT Patna
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Vector and
Scalar
Quantities
Physical Quantities
Scalar Vector
➔ Only magnitude no direction ➔ Magnitude as well as direction
and OBEYs vector law of algebra
1. Force
2. Velocity
3. Displacement
1. Mass
2. Volume
3. Density
4. Speed
Is Current a Vector Is is Is
is current a vector Quantity?
3A
3A
Current
Notation and Representation of Vectors
Vectors are represented by a, b, c and their magnitude (modulus) are
represented by a, b, c or |a|, |b|, |c|.
➝ ➝ ➝
➝
➝
➝
Length of arrow ∝ magnitude
Laws of
Vector
Addition
Addition of Vectors
Triangle law of addition
Addition of Vectors
Parallelogram law of addition
Addition of Vectors
Loop law of addition
Addition of Vectors
Loop law of addition
x = a - b + c - d
➝
x = a + b + c + d
x = a - b - c - d
x = a - b + c + d
➝ ➝ ➝ ➝
➝ ➝ ➝ ➝ ➝
➝ ➝ ➝ ➝ ➝
➝ ➝ ➝ ➝ ➝
A.
B.
C.
D.
a
b
c
d
x
Addition of Vectors
Loop law of addition
x = a + b - c
➝
A.
x = -a + b - c
B.
x = a - b - c
C.
x = -a - b + c
D.
➝ ➝ ➝
➝ ➝ ➝ ➝
➝
➝
➝
➝
➝
➝
➝
➝
a
b
c
x
Types of
Vectors
Kinds of Vectors
Zero or null vector
1
Magnitude = 0
Direction = Any arbitrary direction or No direction
Kinds of Vectors
Magnitude =
➝
Direction =
Unit vector in direction of a =
Unit vector
2
Kinds of Vectors
Unit vector
3
Unit vector in direction of x axis =
Unit vector in direction of y axis =
Unit vector in direction of z axis =
Kinds of Vectors
Free vectors
4
Position Vectors
Position vector of point P is __________
P ( 2, 1, 3)
Address of Point
Cartesian System Vector System
Position Vectors
P.V of point A =
P.V of point B =
AB =
➝
B (3, 2, 1)
A ( 2, 1, 0)
Magnitude of Vectors
Multiplication
of a Vector by
Scalar
Multiplication of a Vector by Scalar
If a = xî + yĵ + zk
̂
Then ka = (kx)î + (ky)ĵ + (kz)k
̂
➝
➝
Properties of scalar multiplication
k ( a + b ) = ka + kb
1
( k + l ) a = k a + l a
2 ➝ ➝ ➝
➝ ➝ ➝ ➝
Collinear
Vectors
Angle between two vectors
Note: Tail to tail should be connected
0° ≤ 𝜃 ≤ 180°
Collinear Vectors or Parallel Vectors
If angle between 2 vectors is either 0o or 180o
1
Collinear Vectors
Collinear Vectors
Like Vectors Unlike Vectors
Collinear Vectors or Parallel Vectors
NOTE: If two vectors are parallel they are proportional
NOTE: If two vectors are collinear then a = λ b
The value of λ when a = 2 - 3 + and b = 8î + λĵ + 4 are parallel is -
A. 4 B. -6
C. -12 D. 1
➝ ➝
^
j
^
^
i k
Coplanar Vectors
Coplanar Vectors
Vectors lying in same plane
Note:
Two vectors are always coplanar
1
3 or more vectors may not be coplanar
2
Dot Product
Dot Product or Scalar Product
Let a and b be two non-zero vectors and θ the angle between them
then its scalar product is denoted as a . b and is defined as
➝ ➝
➝
➝
a . b = |a| |b| cos θ
➝ ➝ ➝ ➝
Dot Product or Scalar Product
î · î = ĵ · ĵ = k
̂ . k
̂ = 1
1
î · ĵ = ĵ · k
̂ = k
̂ . î = 0
2
Dot Product or Scalar Product
If a = a1î + a2ĵ + a3k
̂ and b = b1î + b2ĵ + b3k
̂ then a . b = a1b1 + a2b2 + a3b3
➝ ➝ ➝ ➝
If a = 3i + 2j + k and b = i -2j + 5k then find a.b.
➝ ➝ ➝ ➝
A. 4 B. 5
D. -3
C. 3
Properties
of Dot
Product
Properties of Dot Product
a . b = b . a
1
➝ ➝ ➝ ➝
Properties of Dot Product
a . a = |a|2
2
➝ ➝ ➝
Properties of Dot Product
a . (b + c) = a . b + a . c
3
➝ ➝ ➝ ➝ ➝ ➝ ➝
Properties of Dot Product
-|a| |b| ≤ a . b ≤ |a| |b|
4
➝ ➝ ➝ ➝ ➝ ➝
Properties of Dot Product
a . b =
5
➝ ➝
+
-
0
If θ ∈ [0, 𝝿/2)
If θ ∈ (𝝿/2, 𝝿]
If θ = 𝝿/2
Properties of Dot Product
0 . a = 0
6
➝ ➝
Properties of Dot Product
Angle between 2 vectors a and b cos θ = a.b/|a||b|
7
➝ ➝ ➝ ➝
Properties of Dot Product
If a ⟂ b then a . b = 0 but if a . b = 0 then either a = 0 or
b = 0 or θ = 90°
8 ➝ ➝ ➝ ➝ ➝ ➝
➝
Properties of Dot Product
If b = c then a . b = a . c but if a . b = a . c then a = 0 or
b = c or a ⟂ (b - c)
9 ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
➝
➝
➝ ➝ ➝ ➝
Properties of Dot Product
Identities
10
a. (a + b)2 = |a|2 + 2 a . b + |b|2
b. (a - b)2 = |a|2 - 2 a . b + |b|2
c. (a + b) . (a - b) = |a|2 - |b|2
d. |a + b| = |a| + |b| ⇒ a || b
e. |a + b|2 = |a|2 + |b|2 ⇒ a ⟂ b
f. |a + b| = |a - b| ⇒ a ⟂ b
➝
➝ ➝ ➝ ➝ ➝
➝
➝
➝
➝
➝
➝
➝ ➝ ➝ ➝ ➝ ➝
➝
➝
➝
➝
➝
➝
➝ ➝ ➝ ➝ ➝ ➝
➝
➝
➝
➝
➝
➝
Vector Algebra One Shot #BounceBack.pdf
Vector Algebra One Shot #BounceBack.pdf
Questions on
Dot Product
Let a, b, c be three mutually perpendicular vectors of the same
magnitude and equally inclined at an angle θ, with the vector
a + b + c. Then 36 cos2 2θ is equal to _________.
[JEE Main 2021]
Vector Algebra One Shot #BounceBack.pdf
Let a, b & c be three unit vectors such that |a - b|2 + |a - c|2 = 8. Then
|a + 2b|2 + |a + 2c|2 is equal to ________.
[JEE Main 2021]
If a, b and c are unit vectors satisfying
|a - b|2 + |b - c|2 + |c - a|2 = 9, then |2a + 5b + 5c| is
➝➝ ➝
➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
[JEE Adv. 2012]
Vector Algebra One Shot #BounceBack.pdf
Prove by vector method the following formula of trigonometry
cos(α - β) = cosα cosβ + sinα sinβ
#Power of Vectors
Projection of
a on b
➝
a
➝
b
Projection of a on b
Projection of a on b
The projection of vector i + j + k on the vector i - j + k is-
A. √3 B. 1/√3
C. 2/√3 D. 2√3
^ ^ ^ ^ ^ ^
Angle between two vectors
Find the angle between the vectors 4î + ĵ + 3k
̂ and 2î - 2ĵ - k
̂ .
[JEE Main 2020]
Vector Algebra One Shot #BounceBack.pdf
Components
of Vector
[JEE Main 2021]
Vector Algebra One Shot #BounceBack.pdf
[JEE Adv. 2015]
Vector Algebra One Shot #BounceBack.pdf
Linear
combination
of vectors
A vector r is said to be a linear combination of the vectors a, b, c ….
If ∃ scalars x, y, z, ….. Such that r = xa + yb + zc + …...
➝ ➝ ➝ ➝
➝ ➝ ➝
➝
Linear combination of vectors
Theorem in
Plane
Theorem in plane
If three non-zero, non-collinear vectors are lying in same plane then any one vector can
be represented as linear combination of other two
Let a = î + ĵ + k
̂ , b = î - ĵ + k
̂ and c = î - ĵ - k
̂ be there vectors. A vector
v in the plane of a and b, whose projection on c is 1/√3, is given by
➝ ➝ ➝
➝
A. î - 3ĵ + 3k
̂ B. -3î - 3ĵ - k
̂
C. 3î - ĵ + 3k
̂ D. î + ĵ - 3k
̂ [JEE 2011]
[JEE Main 2021]
Vector Algebra One Shot #BounceBack.pdf
Cross
Product
The vector product or cross product of two vectors a and b is defined
as a vector, written as a ⨉ b and is defined as
➝ ➝
➝ ➝
a ⨉ b = |a| |b| sin θ n
^
➝ ➝ ➝ ➝
θ
n
^
➝
a ⨉ b
➝
a
b
➝
➝
Cross product or Vector product
Properties of
Cross Product
In general, a ⨉ b ≠ b ⨉ a. In fact a ⨉ b = -b ⨉ a
1
➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
Properties of Vector product
For scalar m, ma ⨉ b = m(a ⨉ b) = a ⨉ mb.
2
➝ ➝ ➝ ➝ ➝
➝
Properties of Vector product
a ⨉ (b ± c) = a ⨉ b ± a ⨉ c
3
➝ ➝ ➝ ➝ ➝ ➝ ➝
Properties of Vector product
If a || b then θ = 0 or 𝝿 ⇒ a ⨉ b = 0 (but a ⨉ b = 0 ⇒ a = 0 or b = 0
or a || b). In particular a ⨉ a = 0.
4 ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
➝ ➝
➝
➝
Properties of Vector product
If a ⟂ b then a ⨉ b = |a| |b|n (or |a ⨉ b| = |a| |b|)
5
➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
^
Properties of Vector product
î ⨉ î = ĵ ⨉ ĵ = k
̂ ⨉ k
̂ = 0 and î ⨉ ĵ = k
̂ , ĵ ⨉ k
̂ = î and
k
̂ ⨉ î = ĵ (use cyclic system)
6
Properties of Vector product
Vector perpendicular to a and b is given by ± (a ⨉ b)
7
➝ ➝ ➝ ➝
Properties of Vector product
If θ is angle between a and b then sin θ = |a ⨉ b|/|a||b|
8
➝ ➝ ➝ ➝ ➝ ➝
Properties of Vector product
|a ⨉ b|2 + (a . b)2 = |a|2 |b|2 (Lagrange's identity)
9 ➝ ➝ ➝ ➝ ➝ ➝
Properties of Vector product
If a = a1î + a2ĵ + a3k
̂ and b = b1î + b2ĵ + b3k
̂ then
10
➝ ➝
Properties of Vector product
If a = 2i + 2j - k and b = 6i - 3j + 2k then a x b equals
A. 2i - 2j - k B. i - 10j - 18k
C. i + j + k D. 6i - 3j + 2k
^
➝ ^ ^ ^ ^ ^
^ ^ ^ ^ ^ ^
^
^
^
^
^
^
➝ ➝ ➝
[JEE Main 2021]
[JEE Adv. 2011]
[JEE Adv. 2020]
Vector Algebra One Shot #BounceBack.pdf
Let △PQr be a triangle. Let a = QR, b = RP and c = PQ. if |a| = 12, |b|
= 4√3, b.c = 24, then which of the following is are) true?
A. B.
C. |a x b + c x a | = 48√3 D. a . b = -72
➝
➝
➝ __ __ __
➝ ➝ ➝
➝ ➝ ➝ ➝ ➝ ➝
[JEE Adv. 2015]
Vector Algebra One Shot #BounceBack.pdf
Geometrical
Interpretation of
Cross Product
If two adjacent sides are given
CASE 1
Area of Parallelogram
If diagonal vectors are given
CASE 2
Area of Parallelogram
n If position vectors of vertex are given
CASE 3
Area of Parallelogram
If any two adjacent sides are given
CASE 1
Area of Triangle
If position vectors of vertex are given
CASE 2
Area of Triangle
A
D
C
B
Area of Quadrilateral
Find the area of parallelogram whose two adjacent sides are
represented by a = 3i + j + 2k and b = 2i - 2j + 4k.
^
➝ ^ ^ ^ ^ ^
A. 8√3 B. 2√3
C. √3 D. 4√3
[JEE Adv. 2020]
Vector Algebra One Shot #BounceBack.pdf
Collinearity of
3 Points
Three points are collinear if ar(ABC)=0 or AB || BC || CA
Collinearity of three points
If A ≡ (2i + 3j), B ≡ (pi + 9j) and C ≡ (i - j) are collinear, then the
value of p is-
^
A. 1/2 B. 3/2
C. 7/2 D. 5/2
^ ^ ^ ^ ^
Scalar Triple
Product /
Box Product
Scalar Triple Product or Box Product
If
then
Formula for Scalar Triple Product
Vector Algebra One Shot #BounceBack.pdf
Geometrical
Interpretation of
Box Product
Volume of Parallelepiped
A(a) C(c)
B(b)
0
➝
➝
➝
Volume of Tetrahedron
If a = 2i - 3j, b = i + j - k and c = 3i -k represent three coterminous
edges of a parallelepiped then the volume of that parallelepiped is
-
A. 2 B. 4
C. 6 D. 10
➝ ➝ ➝
^ ^ ^ ^ ^ ^ ^
Properties of
Box Product
The position of (.) and (⨉) can be interchanged.
i.e. a.(b ⨉ c) = (a ⨉ b).c
1 ➝ ➝ ➝ ➝ ➝ ➝
Properties of Box Product (STP)
[a b c] = -[a c b]
2
➝ ➝ ➝ ➝ ➝➝
Properties of Box Product (STP)
You can rotate a, b, c in cyclic order
3
➝➝➝
Properties of Box Product (STP)
[a b b] = [a b a] = 0
4
➝➝➝ ➝➝➝
Properties of Box Product (STP)
The scalar triple product of three mutually perpendicular unit
vectors is ± 1. Thus [î ĵ k
̂ ] = 1, [î ĵ k
̂ ] = -1
5
Properties of Box Product (STP)
If two of the three vectors a, b, c are parallel then
[a b c] = 0
6 ➝ ➝ ➝
Properties of Box Product (STP)
Three non-zero non-collinear vectors are coplanar if
[a b c] = 0
7 ➝ ➝ ➝
Properties of Box Product (STP)
[a + b c d] = [a c d] + [b c d]
8
➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
Properties of Box Product (STP)
[a + b b + c c + a] = 2[a b c]
9
➝
[a - b b - c c - a] = 0
10
[a ⨉ b b ⨉ c c ⨉ a] = [a b c]2
11
➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
➝ ➝ ➝ ➝ ➝ ➝
➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
➝
Properties of Box Product (STP)
➝ ➝ ➝ ➝ ➝
➝ ➝
➝ ➝ ➝ ➝
➝
Properties of Box Product (STP)
For any three vectors a, b, c [a + b, b + c, c + a] equals
A. [a b c] B. 2 [a b c]
C. [a b c]2 D. 0
➝➝ ➝ ➝ ➝ ➝ ➝➝ ➝
➝➝➝
➝➝➝
➝➝➝
Let a, b and c be distinct positive numbers. If the vectors
then c is equal to
A. B.
C. D.
[JEE Main 2021]
Linearly
Dependent vs
Independent
For 2 non zero Vectors
If a || b ⇒ Linearly Dependent
If a ∦ b ⇒ Linearly Independent
➝ ➝
➝
➝
Linearly Dependent v/s Independent Vectors
For 3 non zero Vectors
If [a b c] ≠ 0 ⇒ Linearly Independent
If [a b c] = 0 ⇒ Linearly Dependent
➝➝➝
➝ ➝➝
Linearly Dependent v/s Independent Vectors
4 or more non zero Vectors
Four or more vectors are always Linearly Dependent
Linearly Dependent v/s Independent Vectors
Check whether i - 3j + 2k, 2i - 4j - k and 3i + 2j - k are linearly
independent or dependent?
^ ^ ^ ^ ^ ^ ^ ^ ^
Vector Triple
Product (VTP)
VTP - Definition
Vector triple product is a vector quantity
1
Vector Triple Product (VTP) - Properties
a ⨉ (b ⨉ c) ≠ (a ⨉ b) ⨉ c
2
➝ ➝ ➝ ➝ ➝ ➝
Vector Triple Product (VTP) - Properties
(a ⨉ b) ⨉ c =
3 ➝ ➝ ➝
Vector Triple Product (VTP) - Properties
[a ⨉ b b ⨉ c c ⨉ a] = [a b c]2
4
➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝
Vector Triple Product (VTP) - Properties
[JEE Main 2021]
Vector Algebra One Shot #BounceBack.pdf
[JEE Main 2021]
Vector Algebra One Shot #BounceBack.pdf
[JEE Adv. 2010]
Vector Algebra One Shot #BounceBack.pdf
Scalar Product of Four Vectors
➝
(a ⨉ b).(c ⨉ d) =
➝ ➝ ➝
Vector Product of Four Vectors
V = (a ⨉ b) ⨉ (c ⨉ d) = [a b d]c - [a b c]d
➝ ➝ ➝ ➝ ➝ ➝ ➝ ➝➝ ➝ ➝ ➝ ➝
If a, b, c and d are unit vectors such that (a x b) . (c x d) = 1 and
a . c = 1/ 2, then
➝ ➝ ➝ ➝ ➝ ➝ ➝
➝ ➝
A. a, b, c are non - coplanar
B. b, c, d are non - coplanar
C. b, d are non - parallel
D. a, d are parallel and b, c are parallel
➝ ➝ ➝
➝
➝
➝
➝ ➝
➝
➝
[JEE Adv. 2009]
Vector Algebra One Shot #BounceBack.pdf
Isolating Unknown Vectors
#Hathoda concept
Find vector r if r. a = m and r x b = c where a. b ≠ 0
➝ ➝ ➝ ➝ ➝ ➝ ➝
➝
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