3.17 Planes (HL)
1. Vector Equation of a Plane
A plane in 3D space is uniquely determined by a known coordinate point $A(a_1, a_2, a_3)$ resting on the plane, and two non-parallel direction vectors $\vec{b}$ and $\vec{c}$ that lie parallel to the plane.
The position vector $\vec{r} = \begin{pmatrix} x \\ y \\ z \end{pmatrix}$ mapping any arbitrary point $P(x,y,z)$ on this designated plane is governed by the vector equation:
Where $\vec{a}$ is the position vector of point A ($\overrightarrow{OA}$), and $\lambda, \mu$ act as two independent scalar parameters ($\lambda, \mu \in \mathbb{R}$).
Derivation: If $P(x,y,z)$ is any arbitrary point on the plane, the vector $\overrightarrow{AP}$ lies entirely within the plane defined by $\vec{b}$ and $\vec{c}$. Hence, $\overrightarrow{AP}$ can be written as a linear combination of the two direction vectors: $\overrightarrow{AP} = \lambda\vec{b} + \mu\vec{c}$. The position vector of $P$ is then determined by: $\vec{r} = \overrightarrow{OP} = \overrightarrow{OA} + \overrightarrow{AP} = \vec{a} + \lambda\vec{b} + \mu\vec{c}$.
2. Parametric and Cartesian Forms
Expanding the single vector equation component-by-component yields the Parametric Equations:
$y = a_2 + \lambda b_2 + \mu c_2$
$z = a_3 + \lambda b_3 + \mu c_3$
By systematically eliminating the dual parameters $\lambda$ and $\mu$ using algebraic substitution from the parametric equations, a single linear Cartesian Equation is derived:
EXAMPLE 1 (Elimination Process)
Define the plane passing through $A(1,2,3)$ running parallel to vectors $\vec{b} = \begin{pmatrix} 4 \\ 5 \\ 6 \end{pmatrix}$ and $\vec{c} = \begin{pmatrix} 7 \\ 8 \\ 8 \end{pmatrix}$. Formulate the Cartesian boundary.
(2) $y = 2 + 5\lambda + 8\mu$
(3) $z = 3 + 6\lambda + 8\mu$
Eliminate $\lambda$ from (1) and (2) using $5 \times (1) - 4 \times (2)$ to get Equation 4. Then eliminate $\lambda$ from (2) and (3) using $6 \times (2) - 5 \times (3)$ to get Equation 5. Finally, eliminate $\mu$.
3. Vector Equation in Normal Form
A plane can be defined more efficiently using a single point $A(a_1, a_2, a_3)$ and a normal vector $\vec{n} = \begin{pmatrix} A \\ B \\ C \end{pmatrix}$ that sits perfectly perpendicular to the entire plane surface.
Because any line segment $\overrightarrow{AP}$ residing inside the plane is strictly perpendicular to the normal vector $\vec{n}$, their dot product equals zero ($\overrightarrow{AP} \cdot \vec{n} = 0$). Substituting position vectors $(\vec{r} - \vec{a}) \cdot \vec{n} = 0 \implies \vec{r} \cdot \vec{n} - \vec{a} \cdot \vec{n} = 0$, which resolves to the Normal Equation Form:
Link to Cartesian Form: This vector dot product directly yields the Cartesian form $Ax + By + Cz = D$. The LHS computes as $\vec{r} \cdot \vec{n} = xA + yB + zC$. The RHS $\vec{a} \cdot \vec{n}$ evaluates strictly to a constant scalar, denoted as $D$.
EXAMPLE 2 (Utilizing the Normal Vector)
Find the equation of the plane passing through $A(1,2,3)$ which is strictly perpendicular to the normal vector $\vec{n} = \begin{pmatrix} -8 \\ 10 \\ -3 \end{pmatrix}$.
Geometric Note: The normal vector required in Example 2 can always be generated independently by cross-multiplying the two parallel vectors from Example 1: $\vec{n} = \vec{b} \times \vec{c} = \begin{pmatrix} 4 \\ 5 \\ 6 \end{pmatrix} \times \begin{pmatrix} 7 \\ 8 \\ 8 \end{pmatrix} = \begin{pmatrix} -8 \\ 10 \\ -3 \end{pmatrix}$.
4. Analyzing Plane Characteristics
EXAMPLE 3 (From Cartesian to Vector Components)
Consider the plane mathematically bounded by $3x - 2y + z = 6$.
The coefficients of $x, y, z$ directly provide the normal vector:
For $y = 0, z = 0 \implies 3x = 6 \implies x = 2 \implies \mathbf{A(2, 0, 0)}$.
For $x = 0, z = 0 \implies -2y = 6 \implies y = -3 \implies \mathbf{B(0, -3, 0)}$.
For $x = 0, y = 0 \implies z = 6 \implies \mathbf{C(0, 0, 6)}$.
Verify mathematically utilizing the scalar dot product:
$\vec{n} \cdot \vec{c} = 3(-2) + (-2)(0) + 1(6) = -6 + 0 + 6 = 0 \quad (\checkmark)$
Parametric form: $x = 2 - 2\lambda - 2\mu, \quad y = -3\lambda, \quad z = 6\mu$
Normal form: $\vec{r} \cdot \begin{pmatrix} 3 \\ -2 \\ 1 \end{pmatrix} = 6$
EXAMPLE 4 (From Parametric to Cartesian)
Analyze the plane structured by $\vec{r} = \begin{pmatrix} 3 \\ 1 \\ 2 \end{pmatrix} + \lambda\begin{pmatrix} 1 \\ 2 \\ 3 \end{pmatrix} + \mu\begin{pmatrix} 5 \\ 0 \\ 2 \end{pmatrix}$.