Addition of vectors: If two scalars are added resulting scalar will be unique which will be equal to sum of the given two scalars.For examples if two scalars 2 and 8 are added their sum will be always  equal to 2+8 =10.
But, the addition of vectors is complicated.If we add two vectors of magnitudes 2 and 8 the resultant vector’s magnitude will be 6 or 10 or any value  between 6 and 10 depending on the directions of the vectors we are adding.
i) If the two given vectors are acting in same direction then the magnitude of the resultant vector will be 10 units,
ii) If the two given vectors are acting in opposite directions then the magnitude of resultant vector will be 6 units,
iii) If the two given  vectors are acting in different directions then the magnitude of the resultant vector will be between 6 and 10.
How to add two given  vectors(Geometrical representation): Suppose 
 and 
 are two given vectors.
i)If the two vectors are acting in the same direction,take the first vector  Suppose 
, to the terminal point of 
 connect the initial point of 
.
We get 
 + 
 = 
.
The magnitude of resultant vector will be equal to the sum of magnitudes of 
 and 
i.e When two vectors are acting in same direction the “sum of the magnitudes of the vectors = Magnitude of resultant vector”
AB+CD = AD
ii)If the two vectors are acting in different directions in that case the procedure of addition will be same but the direction and magnitude of resultant vector will be different.Suppose 
 and 
 are two given vectors acting in different directions as shown in the below fig(a).
To add these two vectors connect the initial point C of IInd vectors 
 to the terminal point B of First  vector 
.Now join the initial point A of first vector 
 with the terminal point D of the second vector 
.The vector 
 taken in reverse order 
 (closing side taken in reverse order) represents the resultant vector both in magnitude and direction.
I.e When two vectors are acting in different directions the “Sum of the magnitudes of the vectors > Magnitude of resultant vector”.
Laws of vector addition:
i) Vector addition is commutative 
 + 
 = 
 +  
Proof:Suppose 
 = 
 and 
 = 
 are two given vectors.Now let us add these two vectors. To add
them let us connect the initial position of 
 to the terminal point of 
 in anti clock wise direction,now closing side OB taken in the reverse order represents the resultant vector 
 .
Now draw a vectors parallel to 
 and 
 and complete the parallelogram OABC.From the Fig(ii) 
 = 
 = 
 and 
 = 
 = 
.
From triangle OAB  
 + 
 = 
i.e 
 + 
 = 
 – - – - – - – - – - – - (1)
From triangle OCB  
 + 
 = 
i.e 
 + 
 = 
 – - – - – - – - – - – - (2)
from eq(1) and (2) we get 
 + 
 = 
 + 
Hence vector addition is commutative.
ii) Vector addition is associative: Let 
 = 
,
 = 
 and 
 = 
  be three different vectors.
To add the given three vectors 
 , 
 and 
 we have to connect the initial point of 
 to the terminal point of 
 and the initial point of 
 to terminal point of 
.The closing side taken in reverse order represents the resultant vector.
Hence resultant  
 = 
.
Proof:To add three vectors we have to first add two vectors and to sum vector we will add the third vector.
Form  fig(ii) from the triangle OAB 
 + 
 =
 = (
 + 
) – - – (1)
from triangle OBC 
 + 
 = 
 = 
 – - – - – - – - – - – - (2)
substitute the value   
  and 
 = (
 + 
) from eq(1) to eq(2)
we get (
 + 
) + 
 = 
 = 
 – - – - -  -(A)
From triangle ABC  
 + 
 = 
i.e (
 + 
) = 
 – - – - – - – - – (3)
From triangle OAC 
 + 
 = 
 = 
 – - – - – - – - (4)
solving eq(3) and eq(4) we get 
 + (
 + 
) = 
 = 
  – - – - – - – (B)
Comparing eq(A) & eq(B) we get (
 + 
) + 
 = 
 + (
 + 
)
Hence,vector addition is associative.
Subtraction of Vectors: Subtraction of vectors is also a form of addition.Addition of two vectors acting in opposite direction is called subtraction of vectors.
Suppose as in fig(i) 
 = 
 and 
 = 
 are two vectors, to subtract 
 from 
 we have to add the negative vector of 
 to 
, i.e 
 – 
 = 
+ ( -
).
In the fig (ii) we have drawn 
 = (-
) negative vector of 
 = 
 , now connect the initial point of
latex \overline{BE}$ to the terminal point of 
. From the resultant vector of addition of these two vectors is 
.
Therefore 
 + 
 = 
i.e 
 + (- 
) = 
 – 
 = 
.
* Subtraction of vectors is not commutative  
 – 
 
 
 – 
17/05/2011
VECTORS
Physical quantities are classified in to two categories i) Scalar quantities ii)Vector quantities
1. Scalar quantities or Scalars :The physical quantities which have magnitude but no direction are called   scalar quantities or scalars.
Ex:Length,mass,time,area,volume,speed,energy,work,temperature etc
2.Vector quantities or Vectors:The physical quantities which posses magnitude as well as direction are called Vector quantities or Vectors.
Ex:Displacement,velocity,acceleration,momentum,force etc
Geometrical representation of vectors :A vector is geometrically represented by a directed line segment. The length of the directed line segment is called magnitude of the vector and the direction of the line segment represents  the direction of the vector quantity.                                                  
Ex: If a body starts from a point O after traveling for certain time it reaches its destination point A.Then the displacement of the body is represented by the directed line segment OA . The Length of the straight line OA represents the magnitude of the displacement of the body, and the direction of the line segment from O towards A represents the direction of displacement of the body. Vector 
 is  read as AB bar.The magnitude of 
 is written as 

 and read as modulus of 
.
Types of Vectors :
1.Co-initial vectors: All those vectors whose initial points are same, such vectors are called co initial vectors.                                                                                                 
 Ex: OA,OB,OC, OD ,OE all these vectors have initial point O. Hence these are co-initial vectors.
2.Co-terminal vectors :All those vectors whose terminal (end) points are same,such vectors are     called co terminal vectors.                                                  
Ex: The terminal point of all these vectors 
,
,
 ,
   is Same  point P. Hence, these vectors are called co-terminal vectors.
3. Coplanar Vectors:The vectors which lie in the same plane  are called Co-planar  Vectors.
Ex:a) All the vectors which lie in XY plane are called coplanar irrespective of their magnitudes
and  directions. b) all the vectors which lie in YZ plane are coplanar with respect to one another.
4.Null vectors: Any vector  which  has direction but no magnitude is called a null vector. For a null
vector  its initial point  and the terminal point will be same .
Ex: 
 ,
 . 
 ……………….   Are null vectors.
5.Unit Vector: Any vector of unit magnitude is called unit vector.If 
 is a vector,it’s unit vector is denoted by 
.This (
) is read as a cap.
If you divide a vector with its magnitude we get the unit vector of that vector.
Therefore  unit vector  
 =
latex \bar(a)$}{
}$
where 
 is called the magnitude of 
 vector.
Every vector will have its own unit vector.Unit vector of any vector will be of unit magnitude irrespective of the magnitude of the original vector.
If 
 is a vector its unit vector will be 
 ,the direction of 
 and 
 will be same.Similarly if 
 is a vector its unit vector will be 
 ,the direction of
 and 
 will be same.
Three mutually perpendicular axes OX,OY AND OZ form the Cartesian co-ordinate system.The unit vectors along X,Y and Z axis are represented by  
 ,
 and 
 respectively.
6.Like vectors : All the vectors acting in the same direction are called like vectors.
are acting in the same direction ,hence 
 and 
 are like vectors.
Note: Like vectors will be always i)parallel to one another ii) will be acting in the same direction , but iii)not necessarily be of the different  magnitudes.
7. Unlike Vectors : Any two vectors parallel to one another and acting in opposite directions are called unlike vectors.
The given vectors 
 and 
are acting in the opposite directions , hence 
 and 
 are unlike  vectors.
Note: Unlike vectors will be always i)parallel to one another ii) will be acting in the opposite directions , but iii)not necessarily be of the different  magnitudes.
8. Negative Vector : If 
= 
 is a vector,then 
 =  -
 will be the negative vector of 
.
9. Axial Vectors or (One dimensional Vectors) : The vectors acting along X,Y or Z axes ( or) vectors parallel to any one of the Axis are called axial vectors (or) one dimensional vectors.
9(i). Vectors parallel to X axis : In the Fig(1) all the vectors 
 = 
 ,
 = 
 and
Ex: i)5 
 is a vector of 5units magnitude working along X-axis or parallel to X-axis in positive direction. ii) 8/5  
 is a vector of 8/5 units magnitude working along X-axis or parallel to X-axis in positive direction. iii) -9 
 is a vector of 9units magnitude working along X-axis or parallel to X-axis in negative direction. iv)a 
 is a vector of a units magnitude working along X-axis or parallel to X-axis in positive direction.
9(ii). Vectors parallel to Y axis : In the Fig(2) all the vectors 
 = 
 ,
 = 
 and 
Ex: i)3 
 is a vector of 3units magnitude working along Y-axis or parallel to Y-axis in positive direction. ii) 5/3  
 is a vector of 5/3units magnitude working along Y-axis or parallel to Y-axis in positive direction. iii) -7 
 is a vector of 7units magnitude working along Y-axis or parallel to Y-axis in negative direction. iv)b 
 is a vector of b units magnitude working along Y-axis or parallel to Y-axis in positive direction.
9(iii). Vectors parallel to Z axis : In the Fig(3) all the vectors 
 = 
 ,
 = 
 and 
Ex: i)6 
 is a vector of 6units magnitude working along Z-axis or parallel to Z-axis in positive direction. ii) 8/5  
 is a vector of 8/5 units magnitude working along Z-axis or parallel to Z-axis in positive direction. iii) -4 
 is a vector of 4units magnitude working along Z-axis or parallel to Z-axis in negative direction. iv)c 
 is a vector of c units magnitude working along Z-axis or parallel to Z-axis in positive direction.
10.Two dimensional vectors (or) Plane vectors:The vectors acting in XY-Plane or YZ-Plane or ZX-Plane are known as two dimensional vectors or also known as vectors in a plane.
10(i).Vectors in XY-Plane: In the given Fig(i) 
 = 
 is a vector working in XY-Plane.It’s X-component is 
 
 and Y component is 
 
.So we can express the given vector 
 as the sum of the component vectors.
Note: If X,Y co-ordinates exists(not equal to zero) and the Z co-ordinates does not exist(=0), such vectors will be in XY plane.
10(ii).Vectors in YZ-Plane:  In the given Fig(ii) 
 = 
 is a vector working in YZ-Plane.It’s Y-component is 
 
 and Z component is 
 
.So we can express the given vector 
 as the sum of the component vectors.
There fore the vectors acting in YZ-Plane will have only two components Y-component and Z-component.These YZ-plane vectors can also be represented in Cartesian co-ordinate form. 
 =(0,
 , 
 ).
Note: If Y,Z co-ordinates exists(not equal to zero) and the X co-ordinates does not exist(=0), such vectors will be in YZ plane.
10(iii).Vectors in XZ-Plane:
In the given Fig(i) 
 = 
 is a vector working in XZ-Plane.It’s X-component is 
 
 and Z component is 
 
.So we can express the given vector 
 as the sum of the component vectors.
There fore the vectors acting in XZ-Plane will have only two components X-component and Z-component.These XZ-plane vectors can also be represented in Cartesian co-ordinate form. 
 =(
 ,0, 
 ).
Note: If X,Z co-ordinates exists(not equal to zero) and the Y co-ordinates does not exist(=0), such vectors will be in XZ plane.
11.Space Vector: If any vector possess components along all the three  axes X,Y and Z such vectors are called space vectors.
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