# JEE Main and JEE Advanced Syllabus of Vector

Vectors constitute an important topic in the Mathematics syllabus of JEE. It is
important to master this topic to remain competitive in the IIT JEE. It often fetches
some direct questions too. The topic of Vectors is quite simple and it also forms
the basis of several other topics.

Various topics that have been covered in this chapter include:

. Introduction

. Addition of Two Vectors

. Fundamental Theorem of Vectors

. Orthogonal System of Vectors

We now discuss some of these topics in brief as they have been covered in detail
in the coming sections:

**Length / Magnitude of a vector:** The **length**
or **magnitude** of the vector **w **= (a, b, c)
is defined as

|w|= w= √a^{2}+b^{2}+c^{2}

**Unit vectors:**

A unit vector is a vector of unit length. A unit vector is sometimes denoted by
replacing the arrow on a vector with a "^" or just adding a "^"
on a boldfaced character (i.e., ȇ or **ȇ**). Therefore,

**|ȇ| = 1.**

Any vector can be made into a unit vector by dividing it by its length.

**ȇ = u / |u|**

Any vector can be fully represented by providing its magnitude and a unit vector
along its direction. A vector can be written as u = uȇ

**Base vectors and vector components:**

Base vectors represent those vectors which are selected as a base to represent all
other vectors. For example the vector in the figure can be written as the sum of
the three vectors u_{1}, u_{2}, and u_{3}, each along the
direction of one of the base vectors e_{1}, e_{2}, and e_{3},
so that

u= u_{1}+u_{2}+u_{3}

It is clear from the figure that each of the vectors u_{1}, u_{2}
and u_{3} is parallel to one of the base vectors and can be written as a
scalar multiple of that base. Let *u*_{1}, *u*_{2},
and *u*_{3} denote these scalar multipliers such that one has

u_{1}= u_{1}e_{1}

u_{2}=u_{2}e_{2}

u_{3}=u_{3}e_{3}

The original vector u can now be written as

u= u_{1}e_{1}+u_{2}e_{2}+u_{3}e_{3}

Negative of a vector:

A negative vector is a vector that has the *opposite* direction to the reference
positive direction.

A vector connecting two points:

The vector connecting point *A *to point *B* is given by

r= (xB-xA) i+ (yB – yA) j + (zB – zA)k , here i, j and k denote the unit vectors along x, y and z axis respectively.

**Some Key Points**

• The magnitude of a vector is a scalar and scalars are denoted by normal letters.

• Vertical bars surrounding a boldface letter denote the magnitude of a vector. Since the magnitude is a scalar, it can also be denoted by a normal letter; |w| = w denotes the magnitude of a vector

• The vectors are denoted by either drawing a arrow above the letters or by boldfaced letters.

• Vectors can be multiplied by a scalar. The result is another vector.

Suppose c is a scalar and v = (a, b) is a vector, then the scalar multiplication is defined by cv= c (a,b)= (ca,cb). Hence each component of a vector is multiplied by the scalar.

• If two vectors are of the same dimension then they can be added or subtracted from each other. The result is gain a vector.

Then the sum of these two vectors is defined by

v + u = (a + e, b + f, c + g).

• We can also subtract two vectors of the same direction. The result is again a vector. As in the previous case subtracting vector u from v yields

v - u = (a - e, b - f, c - g). the difference of these vectors is actually the vector v - u = v + (-1)u.

Some Basic Rules of Vectors

If u, v and w are three vectors and c, d are scalars then the following hold true:

· u + v = v + u (the commutative law of addition)

· u + 0 = u

· u + (-u) = 0 (existence of additive inverses)

· c (du) = (cd)u

· (c + d)u = cu +d u

· c(u + v) = cu + cv

· 1u = u

· u + (v + w) = (u + v) + w (the associative law of addition)