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:
- Two vectors
- Equal Vectors (b)
- Any two vectors
and are equal if their difference is the null vector.
- Any two vectors
- 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.
- We can expand this idea to
- Unit Vector of Direction
- The unit vector of direction is a vector with magnitude
but also points to the direction of any vector
- The unit vector of direction is a vector with magnitude
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.
- For certain values of
- Dot Product of Unit Vectors
- Since unit vectors are orthogonal, then their dot products are
.
- 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
.
- 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