Systems of Linear Equations
What You’ll Learn
Section titled “What You’ll Learn”A system of linear equations is a set of equations you want to solve simultaneously. In this lesson you’ll learn how to solve them using substitution, elimination, and matrix form, and understand what their solutions look like geometrically.
The Concept
Section titled “The Concept”A system of two equations in two unknowns:
We want to find values of and that satisfy all equations at the same time.
Three Main Methods
Section titled “Three Main Methods”- Substitution: Solve one equation for one variable and substitute into the other.
- Elimination: Add or subtract equations to eliminate one variable.
- Matrix Method: Write the system as and solve using matrices (covered more in later lessons).
Types of Solutions
Section titled “Types of Solutions”Geometrically, each equation in 2D is a line. Two lines can:
- Intersect at exactly one point (unique solution)
- Be parallel and never meet (no solution, inconsistent)
- Be the same line (infinitely many solutions, dependent)
In the diagram: the left panel shows two lines crossing at a single point , the unique solution. The middle panel shows two parallel lines with no intersection. The right panel shows two overlapping lines with infinitely many solutions.
The Augmented Matrix
Section titled “The Augmented Matrix”We often write the system as an augmented matrix, combining and :
This compact form is what we’ll use for row reduction in the next lesson.
Worked Examples
Section titled “Worked Examples”Example 1: Substitution Method
From the first equation:
Plug into the second:
Then . Solution: .
Example 2: Elimination Method
Add the equations: , so .
Plug back in: , so , .
Solution: .
Example 3: No Solution (Inconsistent)
Both equations say equals something, but 5 and 7 are different. The lines are parallel. No solution exists.
Real-World Application
Section titled “Real-World Application”Systems of equations show up everywhere:
- Game physics: solving for collision points between objects
- Pathfinding: balancing constraints across routes
- Circuit analysis: finding currents through components
- Economics: supply and demand equilibrium
Example: In a 3D game, you might solve a system to find where a projectile will hit a moving target, or to determine the exact position where two objects collide. The engine does this many times per frame.
Retrying will remove your ✅ checkmark until you pass again.