Basics of Vectors and Their Types

May 2, 2025

Lecture Notes: Introduction to Vectors

Objectives

  • Define the term "vector"
  • Show how vectors are represented
  • State the types of vectors
  • Write the component form of a vector
  • Discuss equal and opposite vectors

What is a Vector?

  • Definition in Mathematics: A quantity with both size (magnitude) and direction (angle).
  • Scalar vs. Vector Quantities:
    • Scalar Quantities: Have only magnitude (e.g., mass, length, area, volume).
    • Vector Quantities: Have both magnitude and direction (e.g., velocity, gravitational pull, bearing, force).

Representation of Vectors

  • Notation: Represented by two capital letters with an arrow above, showing direction (e.g., ( \overrightarrow{AB} )).
  • Column Matrix Representation: Used to denote the components of a vector (e.g., ( \begin{bmatrix} x \ y \end{bmatrix} )).

Types of Vectors

  • Position Vectors: Start at the origin (0,0), named with "O" (e.g., ( \overrightarrow{OA} )).
  • Free Vectors: Not connected to the origin, named without "O" (e.g., ( \overrightarrow{BC} )).
  • Zero Vectors: No magnitude, any direction.
  • Unit Vectors: Magnitude of one unit.

Component Form of a Vector

  • Notation: Written as a column matrix ( \begin{bmatrix} x \ y \end{bmatrix} ).
  • Example:
    • For position vector ( \overrightarrow{AB} ), directly use endpoint coordinates.
    • For free vector ( \overrightarrow{CD} ), calculate as endpoint minus starting point.

Equal and Opposite Vectors

  • Equal Vectors: Have the same component form.
  • Opposite Vectors: Components add up to zero; signs are opposite.
  • Example:
    • ( \overrightarrow{AB} = \begin{bmatrix} 2 \ 5 \end{bmatrix} ) equal to ( \overrightarrow{OM} = \begin{bmatrix} 2 \ 5 \end{bmatrix} ).
    • Opposite if ( \overrightarrow{AB} = \begin{bmatrix} -2 \ -5 \end{bmatrix} ) and ( \overrightarrow{OM} = \begin{bmatrix} 2 \ 5 \end{bmatrix} ).

Future Topics

  • Magnitude and direction of vectors
  • Vector algebra
  • Proving parallelism
  • Collinearity of points using vectors

Note: This lecture is an introduction to the concepts of vectors, more detailed explanations and calculations will follow in future sessions.