IB Mathematics AA Systems of Liner Equations Study Notes
IB Mathematics AA Systems of Liner Equations Study Notes
IB Mathematics AA Systems of Liner Equations Study Notes Offer a clear explanation of Systems of Liner Equations , including various formula, rules, exam style questions as example to explain the topics. Worked Out examples and common problem types provided here will be sufficient to cover for topic Systems of Liner Equations.
Systems of Linear Equations in Two Variables
Systems of Linear Equations in Two Variables
Definition: A system of linear equations consists of two or more linear equations involving the same set of variables.
General Form:
\( a_1x + b_1y = c_1 \)
\( a_2x + b_2y = c_2 \)
Methods of Solving
1. Substitution Method
- Solve one equation for one variable.
- Substitute into the other equation.
- Solve the resulting equation and back-substitute.
2. Elimination Method
- Multiply one or both equations to make coefficients match.
- Add or subtract to eliminate one variable.
- Solve and substitute back.
3. Graphical Method
- Graph both equations.
- The point of intersection is the solution (if it exists).
4. Technological Method (GDC / Matrix Solver)
- Use a Graphical Display Calculator or matrix calculator.
- Input equations using the equation solver or matrix interface.
Example
Solve the following system using the substitution method:
- \( x + y = 8 \)
- \( 2x – y = 4 \)
▶️ Answer/Explanation
Solve first equation for \( y \): \( y = 8 – x \)
Substitute into the second equation: \( 2x – (8 – x) = 4 \)
Simplify: \( 2x – 8 + x = 4 \) → \( 3x = 12 \) → \( x = 4 \)
Substitute back: \( y = 8 – 4 = 4 \)
Solution: \( x = 4, y = 4 \)
Example
Solve the following system using the elimination method and graphical:
- \( 3x + 2y = 12 \)
- \( 5x – 2y = 8 \)
▶️ Answer/Explanation
Add the equations to eliminate \( y \): \( 3x + 5x = 8 + 12 \)
\( 8x = 20 \) → \( x = 2.5 \)
Substitute into one equation: \( 3(2.5) + 2y = 12 \) → \( 7.5 + 2y = 12 \) → \( 2y = 4.5 \) → \( y = 2.25 \)
Solution: \( x = 2.5, y = 2.25 \)
Example
Solve using a calculator (GDC):
- \( 4x + y = 13 \)
- \( -2x + 3y = 1 \)
▶️ Answer/Explanation
Use the equation solver in your GDC.
Input:
Eq1: \( 4x + y = 13 \)
Eq2: \( -2x + 3y = 1 \)
Solution displayed: \( x = 2, y = 5 \)
Answer: \( (2, 5) \)
Systems of Linear Equations in Three Variables
Systems of Linear Equations in Three Variables
Definition: A system of three equations in three variables consists of linear equations of the form:
General Form:
\( a_1x + b_1y + c_1z = d_1 \)
\( a_2x + b_2y + c_2z = d_2 \)
\( a_3x + b_3y + c_3z = d_3 \)
Methods of Solving
1. Substitution and Elimination (Algebraic)
- Use substitution or elimination to reduce to two-variable system.
- Solve the resulting system using substitution or elimination again.
2. Matrix Method / Row Reduction (Gaussian Elimination)
- Write the system as an augmented matrix.
- Use row operations to simplify into row echelon form.
- Back-substitute to find variables.
3. Technological Method (GDC / Matrix Solver)
- Enter the coefficient matrix and constant column into your calculator.
- Use RREF (Row Reduced Echelon Form) or equation solver tool.
Example
Solve the system using algebraic elimination:
- \( x + y + z = 6 \)
- \( 2x – y + 3z = 14 \)
- \( -x + 4y + z = -2 \)
▶️ Answer/Explanation
From equation (1): \( z = 6 – x – y \)
Substitute into (2) and (3) and simplify:
(2): \( 2x – y + 3(6 – x – y) = 14 \)
→ \( 2x – y + 18 – 3x – 3y = 14 \)
→ \( -x – 4y = -4 \) → (4)
(3): \( -x + 4y + (6 – x – y) = -2 \)
→ \( -2x + 3y + 6 = -2 \)
→ \( -2x + 3y = -8 \) → (5)
Solve (4) and (5):
(4): \( x = -4y + 4 \)
Substitute into (5): \( -2(-4y + 4) + 3y = -8 \)
→ \( 8y – 8 + 3y = -8 \)
→ \( 11y = 0 \) → \( y = 0 \)
Then \( x = 4 \), \( z = 6 – 4 – 0 = 2 \)
Solution: \( x = 4, y = 0, z = 2 \)
Example
Solving a System of Linear Equations Using Matrices
Solve the system:
$
\begin{aligned}
x – y + z &= 8 \\
2x + 3y – z &= -2 \\
3x – 2y – 9z &= 9
\end{aligned}
$
▶️Answer/Explanation
Form matrix:
Step 1: Write the Augmented Matrix
$
\left[
\begin{array}{ccc|c}
1 & -1 & 1 & 8 \\
2 & 3 & -1 & -2 \\
3 & -2 & -9 & 9 \\
\end{array}
\right]
$
Step 2: Row Operations to Row-Echelon Form
First, eliminate below the pivot in column 1:
$
\begin{aligned}
R_2 &\leftarrow R_2 – 2R_1 \\
R_3 &\leftarrow R_3 – 3R_1
\end{aligned}
\Rightarrow
\left[
\begin{array}{ccc|c}
1 & -1 & 1 & 8 \\
0 & 5 & -3 & -18 \\
0 & 1 & -12 & -15 \\
\end{array}
\right]
$
Swap \( R_2 \leftrightarrow R_3 \) to get a leading 1 in the second row:
$
\left[
\begin{array}{ccc|c}
1 & -1 & 1 & 8 \\
0 & 1 & -12 & -15 \\
0 & 5 & -3 & -18 \\
\end{array}
\right]
$
Next, eliminate the 5 below the pivot in column 2:
$
R_3 \leftarrow R_3 – 5R_2
\Rightarrow
\left[
\begin{array}{ccc|c}
1 & -1 & 1 & 8 \\
0 & 1 & -12 & -15 \\
0 & 0 & 57 & 57 \\
\end{array}
\right]
$
Normalize the third row:
$
R_3 \leftarrow \frac{1}{57} R_3
\Rightarrow
\left[
\begin{array}{ccc|c}
1 & -1 & 1 & 8 \\
0 & 1 & -12 & -15 \\
0 & 0 & 1 & 1 \\
\end{array}
\right]
$
Step 3: Back Substitution
From row 3: \( z = 1 \)
From row 2: \( y – 12z = -15 \Rightarrow y = -3 \)
From row 1: \( x – y + z = 8 \Rightarrow x = 4 \)
$
\rm{(x, y, z) = (4, -3, 1)}
$
Example
Solve using a GDC or Matrix Calculator:
- \( 2x + y + z = 4 \)
- \( 3x + 2y + 3z = 13 \)
- \( x + y + z = 6 \)
▶️ Answer/Explanation
Press [2nd], then [x⁻¹] to open the MATRIX menu.
Go to EDIT and choose matrix [A].
Enter a 3×4
matrix:
[2 1 1 | 4]
[3 2 3 | 13]
[1 1 1 | 6]
Quit to the Home screen [2nd] → [MODE].
Go to MATRIX → MATH → rref( and apply it to matrix [A].
The reduced matrix will be:
[1 0 0 | 1]
[0 1 0 | 2]
[0 0 1 | 3]
Solution:
\( x = 1 \) ,\( y = 2 \) , \( z = 3 \)
Types of Solutions for Systems of Linear Equations:
2-Variable Systems of Linear Equations:
General Form:
\( a_1x + b_1y = c_1 \)
\( a_2x + b_2y = c_2 \)
- Unique Solution: The system has exactly one solution. The lines (in 2D) or planes (in 3D) intersect at a single point.
- Infinite Solutions: The equations represent the same line or plane — they coincide. There are infinitely many points in common.
- No Solution: The equations represent parallel lines or planes that never intersect. The system is inconsistent.
System of Equations | Condition | Solution Type |
---|---|---|
Consistent | \( \frac{a_1}{a_2} \ne \frac{b_1}{b_2} \) | Unique solution |
Consistent | \( \frac{a_1}{a_2} = \frac{b_1}{b_2} = \frac{c_1}{c_2} \) | Infinite solution |
Inconsistent | \( \frac{a_1}{a_2} = \frac{b_1}{b_2} \ne \frac{c_1}{c_2} \) | Solution does not exist |
Example 1: Unique Solution
Solve the system:
- \( x + y = 3 \)
- \( x – y = 1 \)
▶️ Answer/Explanation
Add both equations:
\( (x + y) + (x – y) = 3 + 1 \Rightarrow 2x = 4 \Rightarrow x = 2 \)
Substitute into the first equation: \( 2 + y = 3 \Rightarrow y = 1 \)
Solution: \( (x, y) = (2, 1) \)
Example 2: Infinite Solutions
Solve the system:
- \( 2x + 4y = 6 \)
- \( x + 2y = 3 \)
▶️ Answer/Explanation
Multiply the second equation by 2:
\( 2x + 4y = 6 \) — same as the first equation.
Conclusion: The two equations are identical; all points on the line are solutions.
Solution: Infinitely many solutions.
Example 3: No Solution
Solve the system:
- \( x + y = 2 \)
- \( x + y = 5 \)
▶️ Answer/Explanation
Both equations have the same left-hand side but different right-hand sides.
This leads to a contradiction: \( x + y \) cannot be both 2 and 5.
Conclusion: The lines are parallel and never intersect.
Solution: No solution (inconsistent system).
3-Variable Systems of Linear Equations:
General Form:
\( a_1x + b_1y + c_1z = d_1 \)
\( a_2x + b_2y + c_2z = d_2 \)
\( a_3x + b_3y + c_3z = d_3 \)
Just like 2-variable systems, these can also result in:
- Unique Solution: The three planes intersect at a single point.
- Infinite Solutions: The three planes intersect along a line, or all coincide.
- No Solution: The three planes do not have a common point — they may be parallel or form a triangular prism shape.
Example 1: Unique Solution (Using GDC)
Solve the system:
- \( 2x + y + z = 4 \)
- \( 3x + 2y + 3z = 13 \)
- \( x + y + z = 6 \)
▶️ Answer/Explanation
Go to [2nd] → [MATRIX] on your TI-84.
Select Edit → Matrix [A] and input the coefficient matrix:
[2 1 1]
[3 2 3]
[1 1 1]
Go to Matrix [B] and enter the constants:
[4]
[13]
[6]
Use rref([A]|[B]) to solve. Go to [2nd] → [Matrix] → Math → rref(
Result will be:
[1 0 0 | 1]
[0 1 0 | 2]
[0 0 1 | 3]
Solution: \( x = 1 \), \( y = 2 \), \( z = 3 \)
Example 2: Infinite Solutions
Solve the system:
- \( x + y + z = 3 \)
- \( 2x + 2y + 2z = 6 \)
- \( 3x + 3y + 3z = 9 \)
▶️ Answer/Explanation
All three equations are multiples of each other. They represent the same plane.
This means there are infinitely many points that satisfy all equations.
Conclusion: The system has infinitely many solutions.
Example 3: No Solution
Solve the system:
- \( x + y + z = 1 \)
- \( 2x + 2y + 2z = 3 \)
- \( x – y + z = 0 \)
▶️ Answer/Explanation
The second equation contradicts the first – if you double the first, you should get:
\( 2x + 2y + 2z = 2 \), not 3. So the system is inconsistent.
Conclusion: No point satisfies all three equations simultaneously.
Result: No solution.