Coordinate Systems and Components of a Vector

  • Unit Vectors
  • Vectors in Two Dimensions

where

  • is a vector in two dimensions
  • is the vector component in the -direction
  • is the vector component in the -direction

where:

  • is the scalar component of
  • is the scalar component of

where:

  • are the coordinates of the origin point of a vector.

  • are the coordinates of the end point of a vector

  • Magnitude of a 2D Vector

where

  • is the magnitude of vector .

  • Vector Trigonometry

where:

  • is the angle between the vector components and .
  • Polar Coordinates

where:

  • is a point in the Cartesian plane

  • is the radial coordinate

  • is the angle that the vector makes with the unit radial vector.

  • Vectors in Three Dimensions

where:

  • is a 3D vector
  • is the vector component in the -direction

where:

  • is the scalar component of

where:

  • is the coordinates of the origin point of a vector.
  • is the coordinates of the end point of a vector.

where:

  • is the magnitude of the 3D vector .

Algebra of Vectors

  • Scalar Multiplication
  • Antiparallel Vector
    • Two vectors that points in opposite directions/points opposite to one another.
  • Null Vector
    • A vector with all components at zero.
  • Equal Vectors (a)
    • Two vectors and are equal if:
  • Equal Vectors (b)
    • Any two vectors and are equal if their difference is the null vector.
  • Addition of Two Vectors
    • Adding two vectors is the same as adding their corresponding components.
  • Addition of Multiple Vectors
    • We can expand this idea to vectors.
  • Unit Vector of Direction
    • The unit vector of direction is a vector with magnitude but also points to the direction of any vector

Product of Vectors

  • Scalar/Dot Product of Vectors

where:

  • is the angle between the vectors and .

  • Properties of the Dot Product

    • For certain values of , the dot product of two vectors may have some special values.
  • Dot Product of Unit Vectors
    • Since unit vectors are orthogonal, then their dot products are .
  • Dot Product of a Unit Vector to Itself
    • Since the magnitude of a unit vector is 1, the dot product of a unit vector to itself is always .
  • Dot Product of a Unit Vector to a Vector
    • The dot product of a vector to a unit vector is the magnitude of the component vector in that direction.
  • Dot Product of Two Vectors in Component Form
  • Angle of Two Vectors using Dot Product