How does the dot product measure the angle between two three-dimensional vectors and project one onto another?
Compute the scalar (dot) product of vectors in three dimensions and use it for angles, perpendicularity and projections
WACE Specialist Unit 3 scalar product: the component and geometric definitions of the dot product, the angle formula, the perpendicularity test, and scalar and vector projections, with a worked example in three dimensions.
Reviewed by: AI editorial process; not yet individually human-reviewed
Have a quick question? Jump to the Q&A page
Jump to a section
What this dot point is asking
SCSA wants you to compute the dot product from components, use it to find angles and test perpendicularity, and resolve one vector along another by projection.
Two definitions, one product
The scalar product has a component definition and a geometric definition that agree:
The component form is the computational tool; the geometric form explains why it measures angle. The product is commutative and distributes over addition, and .
The angle between two vectors
Rearranging the geometric form gives
Compute the dot product and the two magnitudes, then take the inverse cosine. The result lies in .
Perpendicularity test
This is the quickest way to check or impose a right angle, for instance to find a value of a parameter that makes two vectors perpendicular.
Projections
The scalar projection of onto is , the signed length of the shadow of along . The vector projection multiplies this by the unit vector :
This resolves into a component along and a remaining component perpendicular to it.