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Applications of Vectors to Geometry

Specialist Mathematics
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Applications of Vectors to Geometry

Specialist Mathematics
12 May 2026

Applications of Vectors to Geometry

In VCE Specialist Mathematics, vectors provide a powerful framework for describing and solving problems involving lines and planes in three-dimensional space. This area of study bridges the gap between algebraic manipulation and geometric interpretation.

1. Fundamentals of Vectors in 3D

A vector in three dimensions is represented as $\mathbf{r} = x\mathbf{i} + y\mathbf{j} + z\mathbf{k}$, where $\mathbf{i}, \mathbf{j}, \mathbf{k}$ are unit vectors in the directions of the $x, y,$ and $z$ axes respectively.

Magnitude and Unit Vectors

  • Magnitude: The length of vector $\mathbf{a} = a_1\mathbf{i} + a_2\mathbf{j} + a_3\mathbf{k}$ is $|\mathbf{a}| = \sqrt{a_1^2 + a_2^2 + a_3^2}$.
  • Unit Vector: A vector with magnitude 1 in the direction of $\mathbf{a}$ is $\hat{\mathbf{a}} = \frac{1}{|\mathbf{a}|}\mathbf{a}$.

Scalar (Dot) Product

The scalar product is used to find the angle between vectors and to test for perpendicularity.
$$\mathbf{a} \cdot \mathbf{b} = a_1b_1 + a_2b_2 + a_3b_3 = |\mathbf{a}||\mathbf{b}|\cos(\theta)$$
* If $\mathbf{a} \cdot \mathbf{b} = 0$, then $\mathbf{a} \perp \mathbf{b}$ (provided $\mathbf{a}, \mathbf{b} \neq \mathbf{0}$).

Vector (Cross) Product

The vector product results in a vector that is perpendicular to both $\mathbf{a}$ and $\mathbf{b}$.
$$\mathbf{a} \times \mathbf{b} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 \end{vmatrix} = (a_2b_3 - a_3b_2)\mathbf{i} - (a_1b_3 - a_3b_1)\mathbf{j} + (a_1b_2 - a_2b_1)\mathbf{k}$$
* Magnitude: $|\mathbf{a} \times \mathbf{b}| = |\mathbf{a}||\mathbf{b}|\sin(\theta)$.
* Geometric use: The area of a triangle with sides defined by vectors $\mathbf{a}$ and $\mathbf{b}$ is $\frac{1}{2}|\mathbf{a} \times \mathbf{b}|$.

EXAM TIP: Use the dot product to find angles and the cross product to find a vector perpendicular to a plane. If a question asks to show two vectors are perpendicular, always show that $\mathbf{a} \cdot \mathbf{b} = 0$.


2. Vector Equations of Lines

A line in 3D space is uniquely determined by a point on the line and a direction vector.

Forms of the Equation

Let $\mathbf{a} = a_1\mathbf{i} + a_2\mathbf{j} + a_3\mathbf{k}$ be the position vector of a point on the line, and $\mathbf{d} = d_1\mathbf{i} + d_2\mathbf{j} + d_3\mathbf{k}$ be the direction vector parallel to the line.

Form Equation
Vector Form $\mathbf{r} = \mathbf{a} + \lambda\mathbf{d}, \lambda \in \mathbb{R}$
Parametric Form $x = a_1 + \lambda d_1, \quad y = a_2 + \lambda d_2, \quad z = a_3 + \lambda d_3$
Cartesian Form $\frac{x - a_1}{d_1} = \frac{y - a_2}{d_2} = \frac{z - a_3}{d_3}$

COMMON MISTAKE: When converting to Cartesian form, ensure the coefficients of $x, y,$ and $z$ are exactly $1$. For example, if you have $\frac{2x-4}{6}$, rewrite it as $\frac{x-2}{3}$ before identifying the direction vector component.


3. Vector Equations of Planes

A plane is defined by a point $\mathbf{a}$ on the plane and a normal vector $\mathbf{n}$ (a vector perpendicular to the surface).

Vector Equation

The set of all points $\mathbf{r}$ on the plane satisfies:
$$(\mathbf{r} - \mathbf{a}) \cdot \mathbf{n} = 0 \implies \mathbf{r} \cdot \mathbf{n} = \mathbf{a} \cdot \mathbf{n}$$
Where $\mathbf{a} \cdot \mathbf{n}$ results in a constant $k$.

Cartesian Equation

If $\mathbf{n} = n_1\mathbf{i} + n_2\mathbf{j} + n_3\mathbf{k}$, the equation is:
$$n_1x + n_2y + n_3z = k$$

KEY TAKEAWAY: The coefficients of $x, y,$ and $z$ in the Cartesian equation of a plane are the components of the normal vector $\mathbf{n}$.


4. Angles and Distances in Geometry

Angles

Target Method Formula
Between two lines Use direction vectors $\mathbf{d_1}, \mathbf{d_2}$ $\cos(\theta) = \frac{
Between two planes Use normal vectors $\mathbf{n_1}, \mathbf{n_2}$ $\cos(\theta) = \frac{
Between line and plane Use direction $\mathbf{d}$ and normal $\mathbf{n}$ $\sin(\theta) = \frac{

Distances

  • Point to Plane: The shortest distance from point $P$ (position vector $\mathbf{p}$) to a plane $\mathbf{r} \cdot \mathbf{n} = k$ is:
    $$\text{Dist} = \frac{|\mathbf{p} \cdot \mathbf{n} - k|}{|\mathbf{n}|}$$
  • Point to Line: Find a general point $Q$ on the line (using the parameter $\lambda$). Set $\vec{PQ} \cdot \mathbf{d} = 0$ to find the value of $\lambda$ that gives the perpendicular distance, then calculate $|\vec{PQ}|$.

VCAA FOCUS: The angle between a line and a plane is a frequent exam question. Remember to use sine instead of cosine if you are using the normal vector of the plane, or calculate the angle with the normal and subtract from $90^\circ$.


5. Geometric Proofs and Applications

Vectors can be used to prove geometric properties:
1. Collinearity: Three points $A, B, C$ are collinear if $\vec{AB} = k\vec{BC}$ for some scalar $k$.
2. Coplanarity: Four points are coplanar if the volume of the parallelepiped they form is zero, or if one vector can be expressed as a linear combination of two others: $\mathbf{c} = \alpha\mathbf{a} + \beta\mathbf{b}$.
3. Isosceles Triangles: Show that two side vectors have equal magnitudes (e.g., $|\vec{AB}| = |\vec{AC}|$).
4. Intersection: To find the intersection of a line and a plane, substitute the parametric expressions for $x, y, z$ from the line into the Cartesian equation of the plane and solve for $\lambda$.

REMEMBER: To show that a line is perpendicular to a plane, the direction vector of the line $\mathbf{d}$ must be parallel to the normal vector of the plane $\mathbf{n}$ (i.e., $\mathbf{d} = k\mathbf{n}$). To show a line is parallel to a plane, $\mathbf{d} \cdot \mathbf{n} = 0$.

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