Vectors Short Notes for Engineering Entrance Exams | Definitions & Formulas

VECTORS — SHORT NOTES

VECTORS — SHORT NOTES (EXAM POINT OF VIEW)


1. Basics of Vectors

Scalar: Quantity with only magnitude

Examples → mass, time, speed, temperature.

Vector: Quantity with magnitude and direction

Examples → displacement, velocity, acceleration, force, momentum.

Representation:

A⃗=Axi^+Ayj^+Azk^

2. Types of Vectors

  • Unit vector:

    A^=A⃗∣A⃗∣\hat{A} = \frac{\vec{A}}{|\vec{A}|}
  • Null/Zero vector → magnitude 0

  • Equal vectors → same magnitude & direction

  • Collinear / Parallel vectors

  • Negative vectors → opposite directions

  • Coplanar vectors → lie in same plane


3. Magnitude of a Vector

∣A⃗∣=Ax2+Ay2+Az2

4. Addition & Subtraction

Parallelogram law:

R⃗=A⃗+B⃗\vec{R} = \vec{A} + \vec{B}
R=A2+B2+2ABcos⁡θ

Triangle law:

A⃗+B⃗=C⃗

Subtraction:

A⃗−B⃗=A⃗+(−B⃗)

5. Scalar (Dot) Product

A⃗⋅B⃗=ABcos⁡θ\vec{A} \cdot \vec{B} = AB\cos\theta

Useful results:

  • If A ⊥ B → dot product = 0

  • Work done = F⃗⋅s⃗\vec{F} \cdot \vec{s}

  • In component form:

A⃗⋅B⃗=AxBx+AyBy+AzBz​

6. Vector (Cross) Product

A⃗×B⃗=ABsin⁡θ n^

(where (\hat{n}) = unit vector perpendicular to plane)

Important:

  • If A ∥ B → cross product = 0

  • Torque,

  • T= r⃗×F⃗\vec{r} \times \vec{F}

  • Area of parallelogram = |A × B|
  • Area of triangle = ½ |A × B|


7. Scalar Triple Product (STP)

A⃗⋅(B⃗×C⃗)
  • Represents volume of a parallelepiped.

  • If STP = 0 → vectors are coplanar.


8. Vector Triple Product

A⃗×(B⃗×C⃗)=(A⃗⋅C⃗)B⃗−(A⃗⋅B⃗)C⃗

9. Direction Cosines & Direction Ratios

Direction cosines (l, m, n):

l=AxA,m=AyA,n=AzA​​l2+m2+n2=1l^2 + m^2 + n^2 = 1


Direction ratios:

Numbers proportional to the components of the vector.


10. Position Vector & Displacement Vector

  • Position vector of point P(x, y, z):

OP⃗=xi^+yj^+zk^\vec{OP} = x\hat{i} + y\hat{j} + z\hat{k}
  • Displacement from A(x₁, y₁, z₁) to B(x₂, y₂, z₂):

AB⃗=(x2−x1)i^+(y2−y1)j^+(z2−z1)k^\vec{AB} = (x_2 - x_1)\hat{i} + (y_2 - y_1)\hat{j} + (z_2 - z_1)\hat{k}


11. Important Identities

  • i^×j^=k^\hat{i} \times \hat{j} = \hat{k}

  • ^×k^=i^\hat{j} \times \hat{k} = \hat{i}

  • k^×i^=j^\hat{k} \times \hat{i} = \hat{j}

  • i^⋅j^=j^⋅k^=k^⋅i^=0

  • i^⋅i^=j^⋅j^=k^⋅k^=1

12. Common Exam Questions

  1. Given vectors, find magnitude, unit vector.

  2. Direction cosines, projection of a vector.

  3. Dot/cross product numerical.

  4. Find area using |A × B|.

  5. Volume using triple product.

  6. Condition for collinearity / coplanarity.

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