The scalar (dot) product in three dimensions (WACE Year 12 Mathematics Specialist Unit 3)
“Compute the scalar (dot) product of vectors in three dimensions and use it for angles, perpendicularity and projections”
The scalar product of and is . So the angle is , vectors are perpendicular when the dot product is zero, and the projection of onto uses the same product.
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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
Two nonzero vectors are perpendicular exactly when their scalar product is zero, because .
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.
Algebraic properties used in proofs
The scalar product obeys algebraic rules that SCSA exploits in proof-style questions. It is commutative, ; it distributes over addition, ; and scalars factor out, . Combined with , these let you expand , the vector form of the cosine rule, which underlies many geometric proofs.
Proving geometric results with the dot product
The dot product turns geometry into algebra. To prove that the diagonals of a rhombus are perpendicular, write the sides as and with ; the diagonals are and , and their dot product is , so the diagonals meet at right angles. Likewise the dot product proves the angle in a semicircle is a right angle. These short vector proofs are popular SCSA extended-response items.
We use the formula , computing the dot product first because if it is zero we can conclude immediately without computing the magnitudes.
Step 1: Compute the dot product
Multiply matching components and sum the results:
Step 2: Interpret the dot product
The scalar product is zero and neither vector is the zero vector, so the angle formula gives , which means . The vectors are perpendicular.
Step 3: Verify using the magnitudes
Computing the magnitudes confirms the result. We have and , giving , which confirms a right angle.
Final answer: ; the vectors are perpendicular.
- Adding instead of multiplying components
- The dot product multiplies matching components then sums; it is not .
- Forgetting the magnitudes in the angle formula
- divides the dot product by the product of magnitudes, not by one of them.
- Confusing scalar and vector projection
- The scalar projection is a number; the vector projection is a vector along .
Exam-style questions
Questions in the style of SCSA exam questions on this dot point, each with a worked answer. They are written by ExamExplained unless tagged "Past paper"; the year shows the paper a question is modelled on.
WACE 2022-style6 marksCalculator-assumed. Points are , and . (a) Find and . (b) Find the angle to the nearest degree.Show worked answer →
An angle-at-a-vertex question.
(a) and .
(b) Dot product: . Magnitudes: and . So , giving , about .
Markers reward both displacement vectors from the vertex , the dot product, the magnitudes, and the inverse cosine.
WACE 2021-style4 marksCalculator-free. Find the value of for which and are perpendicular.Show worked answer →
A perpendicularity-condition question.
Perpendicular vectors have zero scalar product. Compute .
The dot product is for every value of , and , so there is no value of that makes the vectors perpendicular. Markers reward setting the dot product to zero, simplifying to the constant , and the correct conclusion that no such exists.