Section 1.3 — Systems of Three Linear Equations
We now study how three planes in $\mathbb{R}^3$ can intersect. The possibilities are:
| Outcome | Geometry | Solutions |
|---|---|---|
| One point | Three planes meet at a single point | Unique |
| A line | Three planes share a common line | Infinitely many (1 free variable) |
| A plane | All three equations describe the same plane | Infinitely many (2 free variables) |
| Empty | No point lies on all three planes | None |
from linear_algebra_course.chapter1.section3.scenes import *from drawsvg_renderer import DrawSVGRenderer
renderer = DrawSVGRenderer(
width=800,
height=600,
frame_width=16.0,
background_color="#000000",
output_mode='jupyter',
fps=30,
show_progress=False
)Scene 1 — Three Planes Entering the Scene
We introduce three translucent planes one at a time. Each new equation adds another constraint, progressively restricting the possible solutions:
$$ x + y + z = 4 \qquad 2x - y + z = 3 \qquad x + 2y - z = 2 $$
renderer.display_all(Scene1_ThreePlanesEnter(), display=False)
renderer._finalize_interactivity()
renderer.display_inline()Scene 2 — Unique Solution: Three Planes Meet at One Point
When three independent planes intersect at exactly one point, the system has a unique solution.
$$ \begin{cases} x + y + z = 3 \ x - y + z = 1 \ x + y - z = 1 \end{cases} \qquad \Longrightarrow \qquad (x,y,z) = (1,1,1) $$
renderer.display_all(Scene2_UniqueSolution(), display=False)
renderer._finalize_interactivity()
renderer.display_inline()Scene 3 — Infinitely Many Solutions on a Line
Two planes intersect in a line. If the third plane also contains that line, every point on it satisfies all three equations.
$$ \begin{cases} x + y + z = 3 \ x - y + z = 1 \ x + z = 2 \end{cases} $$
From the first two: $y = 1$, $x + z = 2$. The solution is the line $(t,\,1,\,2-t)$.
renderer.display_all(Scene3_LineOfSolutions(), display=False)
renderer._finalize_interactivity()
renderer.display_inline()Scene 4 — Infinitely Many Solutions on a Plane
When all three equations are scalar multiples of each other, they describe the same plane.
$$ x + y + z = 3 \qquad 2x + 2y + 2z = 6 \qquad 3x + 3y + 3z = 9 $$
The solution set is the entire plane — two free variables.
renderer.display_all(Scene4_PlaneOfSolutions(), display=False)
renderer._finalize_interactivity()
renderer.display_inline()Scene 5 — No Common Solution
When two planes are parallel (same normal, different offset), they never intersect. A third plane may cross each of them individually, but no single point lies on all three.
$$ \begin{cases} x + y + z = 2 \ x + y + z = 5 \ 2x - y + z = 1 \end{cases} $$
Planes 1 and 2 are parallel — the system is inconsistent.
renderer.display_all(Scene5_NoSolution(), display=False)
renderer._finalize_interactivity()
renderer.display_inline()Scene 6 — Constraint Metaphor
Each equation removes a degree of freedom from the solution set:
- No equations — any point in 3D space is possible.
- One equation — solutions form a plane.
- Two equations — solutions narrow to a line.
- Three equations — solutions shrink to a point (or nothing).
renderer.display_all(Scene6_ConstraintMetaphor(), display=False)
renderer._finalize_interactivity()
renderer.display_inline()Scene 7 — Classification Table
A summary of the four geometric outcomes for a $3 \times 3$ linear system:
| Geometry | Solutions | Free variables |
|---|---|---|
| One point | Unique $x$ | 0 |
| A line | $\infty$ solutions | 1 |
| A plane | $\infty$ solutions | 2 |
| No intersection | Inconsistent system | — |
renderer.display_all(Scene7_ClassificationTable(), display=False)
renderer._finalize_interactivity()
renderer.display_inline()