Learn on PengiOpenStax Algebra and TrigonometryChapter 11: Systems of Equations and Inequalities

Lesson 11.1: Systems of Linear Equations: Two Variables

New Concept Explore systems of linear equations, where two lines intersect. We'll find their common solution $(x,y)$ using graphing, substitution, and addition, and learn to identify when systems have one, infinite, or no solutions.

Section 1

πŸ“˜ Systems of Linear Equations: Two Variables

New Concept

Explore systems of linear equations, where two lines intersect. We'll find their common solution (x,y)(x,y) using graphing, substitution, and addition, and learn to identify when systems have one, infinite, or no solutions.

What’s next

Next, you’ll master solving these systems through interactive examples and practice cards covering graphing, substitution, and the addition method.

Section 2

Introduction to Systems of Equations

Property

A system of linear equations consists of two or more linear equations made up of two or more variables such that all equations in the system are considered simultaneously. The solution to a system of linear equations in two variables is any ordered pair that satisfies each equation independently.

There are three types of systems of linear equations in two variables, and three types of solutions.

  • An independent system has exactly one solution pair (x,y)(x, y). The point where the two lines intersect is the only solution.
  • An inconsistent system has no solution. The two lines are parallel and will never intersect.
  • A dependent system has infinitely many solutions. The lines are coincident. They are the same line, so every coordinate pair on the line is a solution to both equations.

Examples

  • Is the ordered pair (2,1)(2, 1) a solution to the system x+y=3x + y = 3 and 2xβˆ’y=32x - y = 3? Substituting gives 2+1=32 + 1 = 3 (True) and 2(2)βˆ’1=32(2) - 1 = 3 (True). Yes, it is the solution.
  • Is the ordered pair (1,4)(1, 4) a solution to the system y=3x+1y = 3x + 1 and y=βˆ’x+5y = -x + 5? Substituting gives 4=3(1)+14 = 3(1) + 1 (True) and 4=βˆ’(1)+54 = -(1) + 5 (True). Yes, it is the solution.
  • Is the ordered pair (βˆ’1,3)(-1, 3) a solution to the system yβˆ’x=4y - x = 4 and 2x+y=02x + y = 0? Substituting gives 3βˆ’(βˆ’1)=43 - (-1) = 4 (True) and 2(βˆ’1)+3=12(-1) + 3 = 1 (False). No, it is not a solution.

Section 3

Solving Systems by Graphing

Property

For a system of linear equations in two variables, we can find the solution by graphing the system of equations on the same set of axes. The point of intersection of the two lines is the solution to the system. This method allows you to visually identify the solution and the type of system (independent, inconsistent, or dependent).

Examples

  • To solve the system y=x+1y = x + 1 and y=βˆ’2x+7y = -2x + 7, graph both lines. You'll see they intersect at the point (2,3)(2, 3), which is the solution.
  • For the system x+y=6x + y = 6 and xβˆ’y=2x - y = 2, first write them as y=βˆ’x+6y = -x + 6 and y=xβˆ’2y = x - 2. Graphing these lines shows they intersect at (4,2)(4, 2).
  • Consider the system y=2xy = 2x and y=4xβˆ’4y = 4x - 4. Graphing both lines on the same axes reveals their intersection point is (2,4)(2, 4), which is the solution.

Explanation

Solving by graphing is like drawing two paths on a map. The point where the paths cross is the treasureβ€”the unique (x,y)(x, y) solution that works for both equations. If they never cross, there is no solution!

Section 4

Solving Systems by Substitution

Property

The substitution method involves solving one of the equations for one variable and then substituting the result into the second equation to solve for the second variable.

Given a system of two equations in two variables, solve using the substitution method.

  1. Solve one of the two equations for one of the variables in terms of the other.
  2. Substitute the expression for this variable into the second equation, then solve for the remaining variable.
  3. Substitute that solution into either of the original equations to find the value of the first variable. If possible, write the solution as an ordered pair.
  4. Check the solution in both equations.

Examples

  • For the system y=2x+1y = 2x + 1 and 3x+y=113x + y = 11, substitute 2x+12x + 1 for yy in the second equation: 3x+(2x+1)=113x + (2x + 1) = 11, which gives 5x=105x = 10, so x=2x = 2. Then y=2(2)+1=5y = 2(2) + 1 = 5. The solution is (2,5)(2, 5).
  • Solve the system xβˆ’y=4x - y = 4 and 2x+3y=182x + 3y = 18. From the first equation, x=y+4x = y + 4. Substitute into the second: 2(y+4)+3y=182(y + 4) + 3y = 18, so 5y+8=185y + 8 = 18, giving y=2y = 2. Then x=2+4=6x = 2 + 4 = 6. The solution is (6,2)(6, 2).
  • In the system 2a+b=52a + b = 5 and aβˆ’2b=5a - 2b = 5, solve the first for bb: b=5βˆ’2ab = 5 - 2a. Substitute: aβˆ’2(5βˆ’2a)=5a - 2(5 - 2a) = 5, so 5aβˆ’10=55a - 10 = 5, which means a=3a = 3. Then b=5βˆ’2(3)=βˆ’1b = 5 - 2(3) = -1. The solution is (3,βˆ’1)(3, -1).

Section 5

Solving by the Addition Method

Property

The addition method involves adding two equations so that one variable is eliminated. This may require multiplying one or both equations by a constant to ensure the coefficients of one variable are opposites.

Given a system of equations, solve using the addition method.

  1. Write both equations with variables on the left and constants on the right.
  2. Line up corresponding variables. If needed, multiply one or both equations so one variable has opposite coefficients.
  3. Add the equations to eliminate one variable and solve for the other.
  4. Substitute the value back into an original equation to find the second variable.
  5. Check the solution.

Examples

  • For the system x+y=10x + y = 10 and xβˆ’y=4x - y = 4, adding the equations gives 2x=142x = 14, so x=7x = 7. Substituting back, 7+y=107 + y = 10, so y=3y = 3. The solution is (7,3)(7, 3).
  • Solve 2x+3y=82x + 3y = 8 and x+2y=5x + 2y = 5. Multiply the second equation by βˆ’2-2 to get βˆ’2xβˆ’4y=βˆ’10-2x - 4y = -10. Adding this to the first equation gives βˆ’y=βˆ’2-y = -2, so y=2y = 2. Then x+2(2)=5x + 2(2) = 5, so x=1x = 1. The solution is (1,2)(1, 2).
  • For 3a+2b=73a + 2b = 7 and 2aβˆ’5b=βˆ’82a - 5b = -8, multiply the first by 55 and the second by 22 to get 15a+10b=3515a + 10b = 35 and 4aβˆ’10b=βˆ’164a - 10b = -16. Adding them yields 19a=1919a = 19, so a=1a = 1. Then 3(1)+2b=73(1) + 2b = 7, so 2b=42b=4, and b=2b = 2. The solution is (1,2)(1, 2).

Section 6

Inconsistent and Dependent Systems

Property

An inconsistent system consists of parallel lines that have the same slope but different yy-intercepts. There is no solution, and attempting to solve it results in a false statement, such as 12=012 = 0.

A dependent system consists of two equations that represent the same line. There are an infinite number of solutions. Solving a dependent system results in an identity, such as 0=00 = 0. The general solution can be expressed in terms of one variable, like (x,13x+23)\left(x, \frac{1}{3}x+\frac{2}{3}\right)

Examples

  • Solve the system y=2x+5y = 2x + 5 and y=2xβˆ’1y = 2x - 1. Substituting the first into the second gives 2x+5=2xβˆ’12x + 5 = 2x - 1, which simplifies to 5=βˆ’15 = -1. This is false, so there is no solution. The system is inconsistent.
  • Solve the system x+y=3x + y = 3 and 2x+2y=62x + 2y = 6. Multiply the first equation by βˆ’2-2 to get βˆ’2xβˆ’2y=βˆ’6-2x - 2y = -6. Adding this to the second equation gives 0=00 = 0. This is an identity, so there are infinite solutions. The system is dependent.
  • Consider xβˆ’3y=4x - 3y = 4 and βˆ’2x+6y=1-2x + 6y = 1. Multiply the first equation by 22 to get 2xβˆ’6y=82x - 6y = 8. Adding this to the second equation gives 0=90 = 9. This is a contradiction, so the system is inconsistent and has no solution.

Section 7

Break-Even and Profit Analysis

Property

The cost function, C(x)C(x), calculates the total costs of doing business. The revenue function, R(x)R(x), calculates the total money earned from sales. The point where cost equals revenue, C(x)=R(x)C(x) = R(x), is the break-even point. The profit function is the revenue minus the cost: P(x)=R(x)βˆ’C(x)P(x) = R(x) - C(x). A profit is made when P(x)>0P(x) > 0.

Examples

  • A company has costs C(x)=15x+2000C(x) = 15x + 2000 and revenue R(x)=35xR(x) = 35x. The break-even point is where 15x+2000=35x15x + 2000 = 35x, which gives 20x=200020x = 2000, so x=100x = 100. They must sell 100 units to break even.
  • Given cost C(x)=0.50x+10000C(x) = 0.50x + 10000 and revenue R(x)=1.50xR(x) = 1.50x, find the profit function. P(x)=R(x)βˆ’C(x)=1.50xβˆ’(0.50x+10000)=xβˆ’10000P(x) = R(x) - C(x) = 1.50x - (0.50x + 10000) = x - 10000. The company profits after selling 10,000 units.
  • A ticket seller has a cost function C(x)=10x+5000C(x) = 10x + 5000 and a revenue function R(x)=50xR(x) = 50x. To find the break-even point, set C(x)=R(x)C(x) = R(x), so 10x+5000=50x10x + 5000 = 50x. This simplifies to 40x=500040x = 5000, so x=125x = 125. They must sell 125 tickets.

Explanation

The break-even point is where a business is not losing money but also not making any profit yet. It is the number of items you must sell to cover all production costs. Sell more, and you are making a profit!

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Chapter 11: Systems of Equations and Inequalities

  1. Lesson 1Current

    Lesson 11.1: Systems of Linear Equations: Two Variables

  2. Lesson 2

    Lesson 11.2: Systems of Linear Equations: Three Variables

  3. Lesson 3

    Lesson 11.3: Systems of Nonlinear Equations and Inequalities: Two Variables

  4. Lesson 4

    Lesson 11.4: Partial Fractions

  5. Lesson 5

    Lesson 11.5: Matrices and Matrix Operations

  6. Lesson 6

    Lesson 11.6: Solving Systems with Gaussian Elimination

  7. Lesson 7

    Lesson 11.7: Solving Systems with Inverses

  8. Lesson 8

    Lesson 11.8: Solving Systems with Cramer's Rule

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

πŸ“˜ Systems of Linear Equations: Two Variables

New Concept

Explore systems of linear equations, where two lines intersect. We'll find their common solution (x,y)(x,y) using graphing, substitution, and addition, and learn to identify when systems have one, infinite, or no solutions.

What’s next

Next, you’ll master solving these systems through interactive examples and practice cards covering graphing, substitution, and the addition method.

Section 2

Introduction to Systems of Equations

Property

A system of linear equations consists of two or more linear equations made up of two or more variables such that all equations in the system are considered simultaneously. The solution to a system of linear equations in two variables is any ordered pair that satisfies each equation independently.

There are three types of systems of linear equations in two variables, and three types of solutions.

  • An independent system has exactly one solution pair (x,y)(x, y). The point where the two lines intersect is the only solution.
  • An inconsistent system has no solution. The two lines are parallel and will never intersect.
  • A dependent system has infinitely many solutions. The lines are coincident. They are the same line, so every coordinate pair on the line is a solution to both equations.

Examples

  • Is the ordered pair (2,1)(2, 1) a solution to the system x+y=3x + y = 3 and 2xβˆ’y=32x - y = 3? Substituting gives 2+1=32 + 1 = 3 (True) and 2(2)βˆ’1=32(2) - 1 = 3 (True). Yes, it is the solution.
  • Is the ordered pair (1,4)(1, 4) a solution to the system y=3x+1y = 3x + 1 and y=βˆ’x+5y = -x + 5? Substituting gives 4=3(1)+14 = 3(1) + 1 (True) and 4=βˆ’(1)+54 = -(1) + 5 (True). Yes, it is the solution.
  • Is the ordered pair (βˆ’1,3)(-1, 3) a solution to the system yβˆ’x=4y - x = 4 and 2x+y=02x + y = 0? Substituting gives 3βˆ’(βˆ’1)=43 - (-1) = 4 (True) and 2(βˆ’1)+3=12(-1) + 3 = 1 (False). No, it is not a solution.

Section 3

Solving Systems by Graphing

Property

For a system of linear equations in two variables, we can find the solution by graphing the system of equations on the same set of axes. The point of intersection of the two lines is the solution to the system. This method allows you to visually identify the solution and the type of system (independent, inconsistent, or dependent).

Examples

  • To solve the system y=x+1y = x + 1 and y=βˆ’2x+7y = -2x + 7, graph both lines. You'll see they intersect at the point (2,3)(2, 3), which is the solution.
  • For the system x+y=6x + y = 6 and xβˆ’y=2x - y = 2, first write them as y=βˆ’x+6y = -x + 6 and y=xβˆ’2y = x - 2. Graphing these lines shows they intersect at (4,2)(4, 2).
  • Consider the system y=2xy = 2x and y=4xβˆ’4y = 4x - 4. Graphing both lines on the same axes reveals their intersection point is (2,4)(2, 4), which is the solution.

Explanation

Solving by graphing is like drawing two paths on a map. The point where the paths cross is the treasureβ€”the unique (x,y)(x, y) solution that works for both equations. If they never cross, there is no solution!

Section 4

Solving Systems by Substitution

Property

The substitution method involves solving one of the equations for one variable and then substituting the result into the second equation to solve for the second variable.

Given a system of two equations in two variables, solve using the substitution method.

  1. Solve one of the two equations for one of the variables in terms of the other.
  2. Substitute the expression for this variable into the second equation, then solve for the remaining variable.
  3. Substitute that solution into either of the original equations to find the value of the first variable. If possible, write the solution as an ordered pair.
  4. Check the solution in both equations.

Examples

  • For the system y=2x+1y = 2x + 1 and 3x+y=113x + y = 11, substitute 2x+12x + 1 for yy in the second equation: 3x+(2x+1)=113x + (2x + 1) = 11, which gives 5x=105x = 10, so x=2x = 2. Then y=2(2)+1=5y = 2(2) + 1 = 5. The solution is (2,5)(2, 5).
  • Solve the system xβˆ’y=4x - y = 4 and 2x+3y=182x + 3y = 18. From the first equation, x=y+4x = y + 4. Substitute into the second: 2(y+4)+3y=182(y + 4) + 3y = 18, so 5y+8=185y + 8 = 18, giving y=2y = 2. Then x=2+4=6x = 2 + 4 = 6. The solution is (6,2)(6, 2).
  • In the system 2a+b=52a + b = 5 and aβˆ’2b=5a - 2b = 5, solve the first for bb: b=5βˆ’2ab = 5 - 2a. Substitute: aβˆ’2(5βˆ’2a)=5a - 2(5 - 2a) = 5, so 5aβˆ’10=55a - 10 = 5, which means a=3a = 3. Then b=5βˆ’2(3)=βˆ’1b = 5 - 2(3) = -1. The solution is (3,βˆ’1)(3, -1).

Section 5

Solving by the Addition Method

Property

The addition method involves adding two equations so that one variable is eliminated. This may require multiplying one or both equations by a constant to ensure the coefficients of one variable are opposites.

Given a system of equations, solve using the addition method.

  1. Write both equations with variables on the left and constants on the right.
  2. Line up corresponding variables. If needed, multiply one or both equations so one variable has opposite coefficients.
  3. Add the equations to eliminate one variable and solve for the other.
  4. Substitute the value back into an original equation to find the second variable.
  5. Check the solution.

Examples

  • For the system x+y=10x + y = 10 and xβˆ’y=4x - y = 4, adding the equations gives 2x=142x = 14, so x=7x = 7. Substituting back, 7+y=107 + y = 10, so y=3y = 3. The solution is (7,3)(7, 3).
  • Solve 2x+3y=82x + 3y = 8 and x+2y=5x + 2y = 5. Multiply the second equation by βˆ’2-2 to get βˆ’2xβˆ’4y=βˆ’10-2x - 4y = -10. Adding this to the first equation gives βˆ’y=βˆ’2-y = -2, so y=2y = 2. Then x+2(2)=5x + 2(2) = 5, so x=1x = 1. The solution is (1,2)(1, 2).
  • For 3a+2b=73a + 2b = 7 and 2aβˆ’5b=βˆ’82a - 5b = -8, multiply the first by 55 and the second by 22 to get 15a+10b=3515a + 10b = 35 and 4aβˆ’10b=βˆ’164a - 10b = -16. Adding them yields 19a=1919a = 19, so a=1a = 1. Then 3(1)+2b=73(1) + 2b = 7, so 2b=42b=4, and b=2b = 2. The solution is (1,2)(1, 2).

Section 6

Inconsistent and Dependent Systems

Property

An inconsistent system consists of parallel lines that have the same slope but different yy-intercepts. There is no solution, and attempting to solve it results in a false statement, such as 12=012 = 0.

A dependent system consists of two equations that represent the same line. There are an infinite number of solutions. Solving a dependent system results in an identity, such as 0=00 = 0. The general solution can be expressed in terms of one variable, like (x,13x+23)\left(x, \frac{1}{3}x+\frac{2}{3}\right)

Examples

  • Solve the system y=2x+5y = 2x + 5 and y=2xβˆ’1y = 2x - 1. Substituting the first into the second gives 2x+5=2xβˆ’12x + 5 = 2x - 1, which simplifies to 5=βˆ’15 = -1. This is false, so there is no solution. The system is inconsistent.
  • Solve the system x+y=3x + y = 3 and 2x+2y=62x + 2y = 6. Multiply the first equation by βˆ’2-2 to get βˆ’2xβˆ’2y=βˆ’6-2x - 2y = -6. Adding this to the second equation gives 0=00 = 0. This is an identity, so there are infinite solutions. The system is dependent.
  • Consider xβˆ’3y=4x - 3y = 4 and βˆ’2x+6y=1-2x + 6y = 1. Multiply the first equation by 22 to get 2xβˆ’6y=82x - 6y = 8. Adding this to the second equation gives 0=90 = 9. This is a contradiction, so the system is inconsistent and has no solution.

Section 7

Break-Even and Profit Analysis

Property

The cost function, C(x)C(x), calculates the total costs of doing business. The revenue function, R(x)R(x), calculates the total money earned from sales. The point where cost equals revenue, C(x)=R(x)C(x) = R(x), is the break-even point. The profit function is the revenue minus the cost: P(x)=R(x)βˆ’C(x)P(x) = R(x) - C(x). A profit is made when P(x)>0P(x) > 0.

Examples

  • A company has costs C(x)=15x+2000C(x) = 15x + 2000 and revenue R(x)=35xR(x) = 35x. The break-even point is where 15x+2000=35x15x + 2000 = 35x, which gives 20x=200020x = 2000, so x=100x = 100. They must sell 100 units to break even.
  • Given cost C(x)=0.50x+10000C(x) = 0.50x + 10000 and revenue R(x)=1.50xR(x) = 1.50x, find the profit function. P(x)=R(x)βˆ’C(x)=1.50xβˆ’(0.50x+10000)=xβˆ’10000P(x) = R(x) - C(x) = 1.50x - (0.50x + 10000) = x - 10000. The company profits after selling 10,000 units.
  • A ticket seller has a cost function C(x)=10x+5000C(x) = 10x + 5000 and a revenue function R(x)=50xR(x) = 50x. To find the break-even point, set C(x)=R(x)C(x) = R(x), so 10x+5000=50x10x + 5000 = 50x. This simplifies to 40x=500040x = 5000, so x=125x = 125. They must sell 125 tickets.

Explanation

The break-even point is where a business is not losing money but also not making any profit yet. It is the number of items you must sell to cover all production costs. Sell more, and you are making a profit!

Book overview

Jump across lessons in the current chapter without opening the full course modal.

Continue this chapter

Chapter 11: Systems of Equations and Inequalities

  1. Lesson 1Current

    Lesson 11.1: Systems of Linear Equations: Two Variables

  2. Lesson 2

    Lesson 11.2: Systems of Linear Equations: Three Variables

  3. Lesson 3

    Lesson 11.3: Systems of Nonlinear Equations and Inequalities: Two Variables

  4. Lesson 4

    Lesson 11.4: Partial Fractions

  5. Lesson 5

    Lesson 11.5: Matrices and Matrix Operations

  6. Lesson 6

    Lesson 11.6: Solving Systems with Gaussian Elimination

  7. Lesson 7

    Lesson 11.7: Solving Systems with Inverses

  8. Lesson 8

    Lesson 11.8: Solving Systems with Cramer's Rule