How do we add, scale and take products of vectors in two and three dimensions, and what do the scalar and vector products tell us geometrically?
Vectors in two and three dimensions in form, magnitude and unit vectors, the scalar (dot) product and the angle between vectors, vector projection, and the use of the scalar product to test for perpendicular and parallel vectors
A focused answer to the VCE Specialist Mathematics Unit 3 key-knowledge point on vectors. Component form, magnitude and unit vectors, the scalar (dot) product, the angle between vectors, scalar and vector resolutes (projection), and tests for parallel and perpendicular vectors.
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What this dot point is asking
VCAA wants you to operate on vectors in two and three dimensions using component form: adding, scaling, finding magnitudes and unit vectors, computing the scalar (dot) product, finding the angle between two vectors, resolving one vector along another (projection), and using the dot product to test whether vectors are parallel or perpendicular. Vectors recur in the kinematics and vector-calculus parts of the course, so this foundation matters.
Component form, magnitude and unit vectors
In three dimensions a vector is written , where are the unit vectors along the coordinate axes. Addition and scalar multiplication act component by component:
The magnitude (length) is
The unit vector in the direction of (for ) is
which has magnitude and points the same way as . The two-dimensional case is the same with the component set to zero.
The scalar (dot) product
The scalar product of and is defined by either of two equivalent expressions:
where is the angle between the vectors with . The dot product is commutative and distributes over addition, and . Rearranging the geometric form gives the angle between vectors:
Parallel and perpendicular tests
Two key tests follow from the dot product.
- Perpendicular: if and only if (with both nonzero), since .
- Parallel: if and only if for some scalar ; equivalently the dot product reaches its extreme because .
Scalar and vector resolutes (projection)
Resolving in the direction of splits into a component along and a component perpendicular to it. The scalar resolute of in the direction of is
a signed length. The vector resolute (the projection of onto ) is
The component of perpendicular to is then , which lets you decompose into parallel and perpendicular parts.
Why the dot product is central
The dot product converts geometry into arithmetic. Lengths come from , angles from the cosine formula, perpendicularity from a zero product, and projections from resolving along a unit vector. Almost every vector exam question reduces to one of these four uses, so recognising which one a problem needs is the key skill.
Examples in context
Example 1. Perpendicularity. and satisfy , so they are perpendicular.
Example 2. Unit vector. For , , so .
Try this
Q1. Find the angle between and . [2 marks]
- Cue. , so .
Q2. Find the scalar resolute of in the direction of . [2 marks]
- Cue. , , so scalar resolute .
Q3. Determine the value of for which is perpendicular to . [2 marks]
- Cue. , so .
Exam-style practice questions
Practice questions written in the style of VCAA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
2023 VCAA1 marksIf the sum of two unit vectors is a unit vector, then the magnitude of the difference of the two vectors is A. 0 B. 1/2 C. sqrt(2) D. sqrt(3) E. sqrt(5)
Show worked answer →
The answer is D.
Let the two unit vectors be a and b, so |a| = |b| = 1, and let their sum be a unit vector, so |a + b| = 1.
Use the scalar product expansion |a + b|^2 = |a|^2 + 2(a . b) + |b|^2. Substituting, 1 = 1 + 2(a . b) + 1, so 2(a . b) = -1 and a . b = -1/2.
Now expand the difference: |a - b|^2 = |a|^2 - 2(a . b) + |b|^2 = 1 - 2(-1/2) + 1 = 1 + 1 + 1 = 3.
Therefore |a - b| = sqrt(3), which is option D. (Geometrically the two unit vectors are 120 degrees apart.)