Definitions and Formulas
Scalars:- A quantity that involves only value (magnitude) or a real number.
Vectors:- A quantity that involves value (magnitude) as well as direction.
Representation:- or
Here the point A from where the vector starts is called its initial point, and the point B where it ends is called the terminal point. The distance between the initial and terminal points of a vector is called the magnitude (or length) of the vector, denoted as.
Position vector:- Position vector of a point P(x,y,z) is given as and its magnitude by .
Direction cosines:- Consider a position vector of a point P(x,y,z). Then the angles made by the vector with the positive directions of x, y, and z-axes respectively are called the direction angles. The cosine values of these angles cosα, cosβ, and cosγ are called direction cosine of the vector and usually denoted by l, m, and n.
cosα = x/r , cosβ = y/r, and cosγ = z/r
We know that:-
l = cosα, m= cosβ, and n= cosγ
Then lr = x, mr = y and nr = z
These numbers lr, mr, and nr are directly proportional to the direction cosines are called direction ratios of vector and denoted as a, b, and c respectively.
NOTE:- l2 + m2 + n2 = 1
Components of a vector:-
Let A(1,0,0), B(0,1,0), and C(0,0,1) respectively on the x-axis, y-axis, and z-axis
then
Each having magnitude 1 is called unit vectors along the axes OX, OY, and OZ respectively, and denoted by , and respectively.
NOTE:- (1) Two vectors and are called collinear if and only if there exists a non-zero scalar such that .
If the vectors and are given in component form then the two vectors are called collinear if and only if
Compare both sides:-
b1 = a1, b2 = a2, and b3 = a3
(2) If then a1, a2 and a3 are also called direction ratios of .
Types of Vectors
1. Zero Vector:- A vector whose initial and terminal points coincide or same, is called a zero vector (or null vector) and denoted as or and it may be having any direction because it has no definite direction.
2. Unit Vector:- A vector whose magnitude is unity is called a unit vector and denoted as .
For unit vector:-
3. Coinitial Vectors:- Two or more vectors having the same initial point are called coinitial vectors.
4. Collinear Vectors:- Two or more vectors are said to be collinear if they are parallel to the same line, irrespective of their magnitudes and directions.
5. Equal Vectors:- Two vectors are said to be equal if they have the same magnitude and direction regardless of the positions of their initial points.
If and
Then vector is called equal vector
6. Negative of a Vector:- A vector whose magnitude is the same as that of a given vector, but the direction is opposite to that of it, is called a negative of a given vector.
For example:- Vector is negative of the given vector , written as
Example:- Find the magnitude of .
Solun:-
Addition of Vectors:-
Properties of vector addition:-
1. Commutative Property:- For any two vectors and
2. Associative Property:- For any vectors , and
NOTE:- (1) For any vector
Here, the zero vector is called the additive identity for the vector addition.
(2) For any vector
Here, the vector is called the additive inverse or negative of vector .
Multiplication of a vector by a scalar:- Product of the vector by the scalar , is denoted as , is called the multiplication of a vector by the scalar .
Note that is also a vector, collinear to the vector so has the same direction as . But, the magnitude of is times the magnitude of vector .
Product of two vectors:- Multiplication of two vectors is also defined in two ways- scalar product and vector product. Scalar product where the result is scalar and vector product where the result is a vector.
1. Scalar (or dot) product of two vectors:-
The scalar product of two non-zero vectors and , denoted by . is defined as
where θ is the angle between and , .
Properties of scalar product:-
1. The scalar product is commutative i.e.
2. Distributivity of scalar product over addition:- Let ,andbe any three vectors, then
3. Let and be any two vectors, λ be any scalars. Then
4. Let and be two non-zero vectors, then
(i) if and only if both the vectors are perpendicular to each other or θ = 90o.
(ii) If θ = 0 or both the vectors are parallel to each other then
NOTE:-
(ii) If θ = π or both the vectors are parallel to each other and direction is opposite to each other then
5. The angle between two non-zero vectors and is
NOTE:- As conventionally , and are mutually perpendicular unit vectors then
Projection of a vector on a line:-
(1) Projection of vector on is
And denotes the projection of in the direction of .
(2) Projection of vector onis
And denotes the projection of in the direction of .
NOTE:- If is the unit vector along line l then the projection of on the line is given by:-
.
2. Vector (or cross) product of two vectors:-
The vector product of two non-zero vectors and , denoted by x is defined as
where θ is the angle between and , and is
a unit vector perpendicular to both and .
Properties of vector product:-
1. The scalar product is not commutative i.e.
Because in vector product direction of the resultant vector differs from the initial direction.
2. Distributivity of vector product over addition:- Let ,andbe any three vectors, then
3. Let and be any two vectors, λ be any scalars. Then
3. Let and be two non-zero vectors, then
(i) if both the vectors are parallel or collinear or θ = 0o.
(ii) If θ = 90o or both the vectors are perpendicular to each other then
4. The angle between two non-zero vectors and is
NOTE:- As conventionally , and are mutually perpendicular unit vectors then
5. Area of Triangle:-
Proof:-
5. Area of Parallelogram:-
Proof:-
6. If three points are collinear then
7. Find a unit vector
Vector joining two points:-
According to the triangle law of addition:-
Section Formula:-
Case 1: When R divides PQ internally
Case 2: When R divides PQ externally
NOTE:- If R is the midpoint of PQ then m = n
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