AP Precalculus: Systems of Equations

Master solving systems using graphing, substitution, elimination, and matrices

πŸ“Š Graphing πŸ”„ Substitution βž• Elimination πŸ”’ Matrices

πŸ“š Understanding Systems of Equations

A system of equations is a set of two or more equations with the same variables. The solution is the set of values that satisfies ALL equations simultaneously. This guide covers multiple solving methods and helps you identify when to use each approach.

1 System Classification

Before solving, understand what type of system you have. This determines whether you'll find one solution, infinitely many, or none at all.

βœ… Consistent & Independent
One unique solution
Lines/planes intersect at exactly one point
Different slopes (2D): \(m_1 \neq m_2\)
♾️ Consistent & Dependent
Infinitely many solutions
Lines/planes are identical (coincident)
Same line: \(m_1 = m_2\) and \(b_1 = b_2\)
❌ Inconsistent
No solution
Lines/planes are parallel (never meet)
Same slope, different intercepts
πŸ’‘ Quick Identification

For linear systems in slope-intercept form: compare slopes and y-intercepts to classify without solving!

2 Solving by Graphing

Graph both equations on the same coordinate plane. The solution is the point(s) where the graphs intersect.

Steps

  1. Convert each equation to slope-intercept form (\(y = mx + b\)) if needed
  2. Graph both lines on the same coordinate plane
  3. Identify the intersection point(s)
  4. Verify by substituting coordinates into both original equations

Lines Intersect at One Point

\(m_1 \neq m_2\)
One unique solution \((x, y)\)

Lines Are Parallel

\(m_1 = m_2\), \(b_1 \neq b_2\)
No solution

Lines Are Identical

\(m_1 = m_2\), \(b_1 = b_2\)
Infinite solutions

⚠️ Limitation

Graphing gives approximate solutions unless intersection occurs at integer coordinates. Use algebraic methods for exact answers.

3 Substitution Method

Solve one equation for one variable, then substitute that expression into the other equation. Best when one variable has coefficient 1 or -1.

Steps

  1. Solve one equation for one variable (choose the easiest)
  2. Substitute that expression into the other equation
  3. Solve the resulting single-variable equation
  4. Back-substitute to find the other variable
  5. Check the solution in both original equations
πŸ“Œ Example

System: \(\begin{cases} x + y = 5 \\ 2x - y = 1 \end{cases}\)

Step 1: Solve first equation for \(y\): \(y = 5 - x\)

Step 2: Substitute into second: \(2x - (5 - x) = 1\)

Step 3: Solve: \(2x - 5 + x = 1\) β†’ \(3x = 6\) β†’ \(x = 2\)

Step 4: Back-substitute: \(y = 5 - 2 = 3\)

Solution: \((2, 3)\)

πŸ’‘ When to Use Substitution

Substitution works best when one equation already has a variable isolated, or when a coefficient is 1 or -1 (easy to solve for that variable).

4 Elimination (Addition) Method

Multiply equations to create opposite coefficients for one variable, then add the equations to eliminate that variable. Best when coefficients are small integers.

Steps

  1. Align equations in standard form (\(Ax + By = C\))
  2. Multiply one or both equations to create opposite coefficients
  3. Add the equations to eliminate one variable
  4. Solve for the remaining variable
  5. Substitute back to find the other variable
πŸ“Œ Example 1: Coefficients Already Opposite

System: \(\begin{cases} 2x + 3y = 7 \\ 4x - 3y = 5 \end{cases}\)

Add equations: \(6x = 12\) β†’ \(x = 2\)

Substitute: \(2(2) + 3y = 7\) β†’ \(y = 1\)

Solution: \((2, 1)\)

πŸ“Œ Example 2: Need to Multiply

System: \(\begin{cases} 3x + 2y = 11 \\ 2x + 5y = 16 \end{cases}\)

Multiply first by 5, second by -2:

\(\begin{cases} 15x + 10y = 55 \\ -4x - 10y = -32 \end{cases}\)

Add: \(11x = 23\) β†’ \(x = \frac{23}{11}\)

5 Augmented Matrices & Row Operations

Write the system as an augmented matrix and use row operations to solve. This method is systematic and works well for larger systems.

System to Matrix Conversion \(\begin{cases} ax + by = e \\ cx + dy = f \end{cases} \rightarrow \left[\begin{array}{cc|c} a & b & e \\ c & d & f \end{array}\right]\)

Three Row Operations

Operation Notation Description
Swap Rows \(R_i \leftrightarrow R_j\) Exchange row \(i\) and row \(j\)
Scale Row \(kR_i \rightarrow R_i\) Multiply row \(i\) by non-zero constant \(k\)
Row Addition \(R_i + kR_j \rightarrow R_i\) Add \(k\) times row \(j\) to row \(i\)

Goal: Row Echelon Form (REF) or Reduced Row Echelon Form (RREF)

Row Echelon Form

\(\left[\begin{array}{cc|c} 1 & * & * \\ 0 & 1 & * \end{array}\right]\)
Leading 1s, zeros below

Reduced Row Echelon Form

\(\left[\begin{array}{cc|c} 1 & 0 & x \\ 0 & 1 & y \end{array}\right]\)
Leading 1s, zeros above AND below

πŸ“Œ Example

System: \(\begin{cases} x + 2y = 5 \\ 2x + y = 4 \end{cases}\)

Matrix: \(\left[\begin{array}{cc|c} 1 & 2 & 5 \\ 2 & 1 & 4 \end{array}\right]\)

\(R_2 - 2R_1 \rightarrow R_2\): \(\left[\begin{array}{cc|c} 1 & 2 & 5 \\ 0 & -3 & -6 \end{array}\right]\)

\(-\frac{1}{3}R_2 \rightarrow R_2\): \(\left[\begin{array}{cc|c} 1 & 2 & 5 \\ 0 & 1 & 2 \end{array}\right]\)

Back-substitute: \(y = 2\), \(x + 2(2) = 5\) β†’ \(x = 1\)

6 Three-Variable Systems: Substitution

For systems with three variables, solve one equation for one variable and substitute into the other equations to reduce to a two-variable system.

General Three-Variable System \(\begin{cases} ax + by + cz = d \\ ex + fy + gz = h \\ ix + jy + kz = l \end{cases}\)

Strategy

  1. Choose one equation and solve for one variable
  2. Substitute into the other two equations
  3. Now solve the resulting 2Γ—2 system
  4. Back-substitute to find all three variables
πŸ’‘ Variable Selection

Choose the variable with coefficient 1 or -1 if possible β€” this minimizes fractions in your work.

7 Three-Variable Systems: Elimination

Use pairs of equations to eliminate the same variable twice. This creates a 2Γ—2 system that you can solve with standard methods.

Strategy

  1. Choose a variable to eliminate first
  2. Use equations 1 and 2 to eliminate that variable (creates equation A)
  3. Use equations 2 and 3 (or 1 and 3) to eliminate the same variable (creates equation B)
  4. Solve the 2Γ—2 system (equations A and B)
  5. Substitute back to find the third variable
πŸ“Œ Example

System: \(\begin{cases} x + y + z = 6 \\ 2x - y + z = 3 \\ x + 2y - z = 2 \end{cases}\)

Add eq 1 and eq 3: \(2x + 3y = 8\) (equation A)

Add eq 2 and eq 3: \(3x + y = 5\) (equation B)

Solve 2Γ—2 system: From B: \(y = 5 - 3x\)

Substitute into A: \(2x + 3(5-3x) = 8\) β†’ \(x = 1\), \(y = 2\)

Find z: \(1 + 2 + z = 6\) β†’ \(z = 3\)

Solution: \((1, 2, 3)\)

8 Number of Solutions (Special Cases)

Three-variable systems represent three planes in 3D space. The geometric relationship between planes determines the number of solutions.

βœ… One Solution
Three planes intersect at exactly one point
♾️ Infinite Solutions
Planes intersect along a line, or all three are identical
❌ No Solution
Planes are parallel or form a triangular prism

How to Recognize During Solving

  • One solution: You get unique values for \(x\), \(y\), and \(z\)
  • No solution: You get a contradiction like \(0 = 5\)
  • Infinite solutions: You get a true statement like \(0 = 0\) with a free variable

9 Choosing the Right Method

Different methods work better in different situations. Here's when to use each approach:

πŸ“Š Graphing
Best for: Visual understanding, checking solutions
Use when you need to see the relationship between equations or estimate solutions
πŸ”„ Substitution
Best for: Coefficient of 1 or -1, already solved for a variable
Use when one equation can easily be solved for a variable
βž• Elimination
Best for: Standard form equations, integer coefficients
Use when coefficients are easy to match or already opposite
πŸ”’ Matrices
Best for: Large systems, calculator available
Use for 3+ variable systems or when you want a systematic approach

πŸ“‹ Quick Reference: Key Methods

Graphing

Solution = intersection point

Substitution

Isolate β†’ Substitute β†’ Solve

Elimination

Match coefficients β†’ Add β†’ Solve

Matrices

Row operations β†’ RREF β†’ Read solution

One Solution

Unique \((x, y)\) or \((x, y, z)\)

No Solution

Contradiction (e.g., \(0 = 5\))

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