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VICSpecialist MathematicsSyllabus dot point

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 i,j,k\mathbf{i}, \mathbf{j}, \mathbf{k} 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.

Generated by Claude Opus 4.76 min answer

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  1. What this dot point is asking
  2. Component form, magnitude and unit vectors
  3. The scalar (dot) product
  4. Parallel and perpendicular tests
  5. Scalar and vector resolutes (projection)
  6. Why the dot product is central
  7. Examples in context
  8. Try this

What this dot point is asking

VCAA wants you to operate on vectors in two and three dimensions using i,j,k\mathbf{i}, \mathbf{j}, \mathbf{k} 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 a=a1i+a2j+a3k\mathbf{a} = a_1\mathbf{i} + a_2\mathbf{j} + a_3\mathbf{k}, where i,j,k\mathbf{i}, \mathbf{j}, \mathbf{k} are the unit vectors along the coordinate axes. Addition and scalar multiplication act component by component:

a+b=(a1+b1)i+(a2+b2)j+(a3+b3)k,λa=λa1i+λa2j+λa3k.\mathbf{a} + \mathbf{b} = (a_1 + b_1)\mathbf{i} + (a_2 + b_2)\mathbf{j} + (a_3 + b_3)\mathbf{k}, \qquad \lambda\mathbf{a} = \lambda a_1\mathbf{i} + \lambda a_2\mathbf{j} + \lambda a_3\mathbf{k}.

The magnitude (length) is

a=a12+a22+a32.|\mathbf{a}| = \sqrt{a_1^2 + a_2^2 + a_3^2}.

The unit vector in the direction of a\mathbf{a} (for a0\mathbf{a} \neq \mathbf{0}) is

a^=aa,\hat{\mathbf{a}} = \frac{\mathbf{a}}{|\mathbf{a}|},

which has magnitude 11 and points the same way as a\mathbf{a}. The two-dimensional case is the same with the k\mathbf{k} component set to zero.

The scalar (dot) product

The scalar product of a\mathbf{a} and b\mathbf{b} is defined by either of two equivalent expressions:

ab=a1b1+a2b2+a3b3=abcosθ,\mathbf{a} \cdot \mathbf{b} = a_1 b_1 + a_2 b_2 + a_3 b_3 = |\mathbf{a}||\mathbf{b}|\cos\theta,

where θ\theta is the angle between the vectors with 0θπ0 \leq \theta \leq \pi. The dot product is commutative and distributes over addition, and aa=a2\mathbf{a} \cdot \mathbf{a} = |\mathbf{a}|^2. Rearranging the geometric form gives the angle between vectors:

cosθ=abab.\cos\theta = \frac{\mathbf{a} \cdot \mathbf{b}}{|\mathbf{a}||\mathbf{b}|}.

Parallel and perpendicular tests

Two key tests follow from the dot product.

  • Perpendicular: ab\mathbf{a} \perp \mathbf{b} if and only if ab=0\mathbf{a} \cdot \mathbf{b} = 0 (with both nonzero), since cos90=0\cos 90^\circ = 0.
  • Parallel: ab\mathbf{a} \parallel \mathbf{b} if and only if a=λb\mathbf{a} = \lambda\mathbf{b} for some scalar λ\lambda; equivalently the dot product reaches its extreme ±ab\pm|\mathbf{a}||\mathbf{b}| because cosθ=±1\cos\theta = \pm 1.

Scalar and vector resolutes (projection)

Resolving a\mathbf{a} in the direction of b\mathbf{b} splits a\mathbf{a} into a component along b\mathbf{b} and a component perpendicular to it. The scalar resolute of a\mathbf{a} in the direction of b\mathbf{b} is

ab^=abb,\mathbf{a} \cdot \hat{\mathbf{b}} = \frac{\mathbf{a} \cdot \mathbf{b}}{|\mathbf{b}|},

a signed length. The vector resolute (the projection of a\mathbf{a} onto b\mathbf{b}) is

projba=(ab^)b^=abb2b.\operatorname{proj}_{\mathbf{b}}\mathbf{a} = (\mathbf{a} \cdot \hat{\mathbf{b}})\,\hat{\mathbf{b}} = \frac{\mathbf{a} \cdot \mathbf{b}}{|\mathbf{b}|^2}\,\mathbf{b}.

The component of a\mathbf{a} perpendicular to b\mathbf{b} is then aprojba\mathbf{a} - \operatorname{proj}_{\mathbf{b}}\mathbf{a}, which lets you decompose a\mathbf{a} into parallel and perpendicular parts.

Why the dot product is central

The dot product converts geometry into arithmetic. Lengths come from aa=a2\mathbf{a} \cdot \mathbf{a} = |\mathbf{a}|^2, 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. a=i+2j\mathbf{a} = \mathbf{i} + 2\mathbf{j} and b=4i2j\mathbf{b} = 4\mathbf{i} - 2\mathbf{j} satisfy ab=44=0\mathbf{a} \cdot \mathbf{b} = 4 - 4 = 0, so they are perpendicular.

Example 2. Unit vector. For a=3i+4j\mathbf{a} = 3\mathbf{i} + 4\mathbf{j}, a=5|\mathbf{a}| = 5, so a^=35i+45j\hat{\mathbf{a}} = \frac{3}{5}\mathbf{i} + \frac{4}{5}\mathbf{j}.

Try this

Q1. Find the angle between a=i+j\mathbf{a} = \mathbf{i} + \mathbf{j} and b=i\mathbf{b} = \mathbf{i}. [2 marks]

  • Cue. cosθ=121=12\cos\theta = \frac{1}{\sqrt{2}\cdot 1} = \frac{1}{\sqrt 2}, so θ=45\theta = 45^\circ.

Q2. Find the scalar resolute of a=2ij+2k\mathbf{a} = 2\mathbf{i} - \mathbf{j} + 2\mathbf{k} in the direction of b=i+2j+2k\mathbf{b} = \mathbf{i} + 2\mathbf{j} + 2\mathbf{k}. [2 marks]

  • Cue. ab=22+4=4\mathbf{a}\cdot\mathbf{b} = 2 - 2 + 4 = 4, b=3|\mathbf{b}| = 3, so scalar resolute =43= \frac{4}{3}.

Q3. Determine the value of tt for which a=ti+3j\mathbf{a} = t\mathbf{i} + 3\mathbf{j} is perpendicular to b=2ij\mathbf{b} = 2\mathbf{i} - \mathbf{j}. [2 marks]

  • Cue. 2t3=02t - 3 = 0, so t=32t = \frac{3}{2}.

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.)