Multiplication of Vectors (Dot & Cross Product)

When vectors interact, we learn how they are related in space. Vector multiplication allows us to extract hidden geometric and physical meaning— such as angles, projection, work done, rotation, and area.

There are two fundamental ways to multiply vectors: Dot Product (scalar result) and Cross Product (vector result).

Dot Product (Scalar Product)

The dot product of two vectors tells us how much one vector points in the direction of another. The result is a scalar.

Definition

\[ \vec{A}\cdot\vec{B} = |\vec{A}|\,|\vec{B}|\cos\theta \]

Here, \( \theta \) is the angle between \( \vec{A} \) and \( \vec{B} \).

Angle between two vectors A and B
Figure 1: Two vectors making an angle \( \theta \). The dot product depends on \( \cos\theta \).

Physical meaning

  • If vectors point in the same direction, dot product is maximum.
  • If vectors are perpendicular, dot product is zero.
  • If vectors point in opposite directions, dot product is negative.

Dot product using components (Derivation)

Let:

\[ \vec{A} = A_x\hat{i} + A_y\hat{j} + A_z\hat{k} \] \[ \vec{B} = B_x\hat{i} + B_y\hat{j} + B_z\hat{k} \]

Using orthogonality of unit vectors:

\[ \vec{A}\cdot\vec{B} = A_xB_x + A_yB_y + A_zB_z \]
This form is extremely useful in calculations.

Applications of dot product

  • Finding angle between vectors
  • Work done: \( W = \vec{F}\cdot\vec{s} \)
  • Checking perpendicularity

Solved Examples: Dot Product

Example 1

Find \( \vec{A}\cdot\vec{B} \) if \[ \vec{A} = 3\hat{i} + 4\hat{j}, \quad \vec{B} = 5\hat{i} - 2\hat{j}. \]

\[ \vec{A}\cdot\vec{B} = (3)(5) + (4)(-2) = 15 - 8 = 7 \]

Example 2 (Work Done)

A force \[ \vec{F} = 10\hat{i} + 5\hat{j}\ \text{N} \] moves an object by \[ \vec{s} = 2\hat{i}\ \text{m}. \] Find the work done.

\[ W = \vec{F}\cdot\vec{s} = (10)(2) + (5)(0) = 20\ \text{J} \]

Cross Product (Vector Product)

The cross product of two vectors gives a vector that is perpendicular to the plane containing the two vectors.

Definition

\[ \vec{A}\times\vec{B} = |\vec{A}|\,|\vec{B}|\sin\theta\ \hat{n} \]

Here, \( \hat{n} \) is a unit vector perpendicular to both \( \vec{A} \) and \( \vec{B} \), given by the right-hand rule.

Right hand rule for cross product
Figure 2: Right-hand rule determines direction of \( \vec{A}\times\vec{B} \).

Physical meaning

  • Magnitude gives area of parallelogram
  • Direction gives axis of rotation
  • Zero if vectors are parallel

Cross product using components (Derivation)

\[ \vec{A}\times\vec{B} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ A_x & A_y & A_z \\ B_x & B_y & B_z \end{vmatrix} \]
\[ = \hat{i}(A_yB_z - A_zB_y) - \hat{j}(A_xB_z - A_zB_x) + \hat{k}(A_xB_y - A_yB_x) \]
Determinant method for cross product
Figure 3: Determinant method for computing cross product.

Applications of cross product

  • Torque: \( \vec{\tau} = \vec{r}\times\vec{F} \)
  • Angular momentum: \( \vec{L} = \vec{r}\times\vec{p} \)
  • Area of triangle and parallelogram

Solved Examples: Cross Product

Example 3

Find \( \vec{A}\times\vec{B} \) if \[ \vec{A} = \hat{i} + 2\hat{j}, \quad \vec{B} = 3\hat{i} + \hat{j}. \]

\[ \vec{A}\times\vec{B} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 2 & 0 \\ 3 & 1 & 0 \end{vmatrix} = -5\hat{k} \]

Example 4 (Area)

Find the area of a parallelogram formed by vectors \[ \vec{A} = 4\hat{i}, \quad \vec{B} = 3\hat{j}. \]

\[ |\vec{A}\times\vec{B}| = |\vec{A}|\,|\vec{B}|\sin 90^\circ = 4\times 3 = 12 \]

Practice Questions

Conceptual

  1. Why is dot product zero for perpendicular vectors?
  2. Why is cross product zero for parallel vectors?
  3. Why does dot product give a scalar but cross product a vector?

Numerical

  1. Find \( \vec{A}\cdot\vec{B} \) if \( \vec{A} = 2\hat{i} - \hat{j} \), \( \vec{B} = \hat{i} + 3\hat{j} \).
  2. Find the angle between two vectors using dot product.
  3. Find torque when \( \vec{r} = 2\hat{i} \) and \( \vec{F} = 3\hat{j} \).
  4. Find the area of the triangle formed by vectors \( \vec{A} \) and \( \vec{B} \).

Summary

  • Dot product → scalar → projection & work
  • Cross product → vector → area & rotation
  • \( \vec{A}\cdot\vec{B} = |\vec{A}|\,|\vec{B}|\cos\theta \)
  • \( |\vec{A}\times\vec{B}| = |\vec{A}|\,|\vec{B}|\sin\theta \)
Next topic suggestion: Applications of Dot & Cross Product (work, torque, angular momentum).
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