Solving Systems of Linear Equations with Two Variables
A system of linear equations is two or more equations that share the same variables. Solving the system means finding the values of those variables that make all the equations true at the same time. This topic covers three main methods for solving two-variable systems: graphing, substitution, and elimination.
These methods show up constantly in later math courses and in real-world problems like budgeting, mixing solutions, or comparing rates. Each method has situations where it works best, so knowing all three gives you flexibility.
Verification of Linear Equation Solutions
An ordered pair is a solution to a system only if it makes both equations true. To check, plug the and values into each equation separately and simplify.
Example: Does solve the system and ?
- First equation: ✓
- Second equation: ✓
Both statements are true, so is the solution. If even one equation comes out false, the ordered pair is not a solution to the system.

Graphing Systems of Linear Equations
Graphing is the most visual method. You graph both equations on the same coordinate plane and look for where the lines cross.
To graph each line, find at least two points (the - and -intercepts work well), plot them, and draw a straight line through them. The intersection point is your solution.
Example: Graph and . The lines cross at , so that's the solution.
There are three possible outcomes:
- One solution: The lines intersect at exactly one point. This is called a consistent and independent system.
- No solution: The lines are parallel (same slope, different intercepts) and never cross. This is an inconsistent system.
- Infinitely many solutions: The lines are actually the same line (one equation is a multiple of the other). Every point on the line is a solution. This is a consistent and dependent system.
Graphing is great for understanding what's happening, but it's not precise when the solution involves fractions or decimals.

Substitution Method for Linear Systems
Substitution works by isolating one variable in one equation, then plugging that expression into the other equation. This reduces the system to a single equation with one variable.
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Pick whichever equation is easiest to solve for one variable. For example, solve for to get .
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Substitute that expression into the other equation. Replace in with , giving you .
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Solve for the remaining variable. Distribute: , then , so .
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Plug that value back into the expression from Step 1 to find the other variable: .
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Write the solution as an ordered pair: .
Substitution is especially efficient when one variable already has a coefficient of 1 or -1, since that avoids introducing fractions early.
Elimination Method for Linear Systems
Elimination (also called linear combination) works by adding or subtracting the equations so that one variable cancels out.
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If needed, multiply one or both equations by constants so that one variable has coefficients that are equal in magnitude but opposite in sign. For example, multiply by 2 to get .
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Add the equations together. Adding and gives (the terms cancel).
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Solve for the remaining variable: .
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Substitute that value into either original equation to find the other variable.
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Write the solution as an ordered pair.
Watch for special cases: If both variables cancel and you get a true statement like , the system has infinitely many solutions. If you get a false statement like , there's no solution.
Choosing the Right Method
The structure of the equations should guide your choice:
- Graphing is best for visualizing the relationship and estimating solutions. It's less practical when answers aren't whole numbers.
- Substitution is your go-to when one equation already has a variable isolated (like ) or when a variable has a coefficient of 1 or -1, making it easy to isolate.
- Elimination shines when the coefficients are set up so that one variable cancels quickly, such as and (the terms are already opposites).
Before diving in, take a few seconds to look at the coefficients and the form of each equation. Choosing the most efficient method saves time and reduces errors.