Learn on PengiYoshiwara Intermediate AlgebraChapter 2: Applications of Linear Models

Lesson 3: Algebraic Solution of Systems

In this Grade 7 lesson from Yoshiwara Intermediate Algebra (Chapter 2), students learn two algebraic methods for solving systems of linear equations: the substitution method and the elimination method. The substitution method involves solving one equation for a variable and substituting that expression into the other equation, while the elimination method requires rewriting equations in standard form and adding them to cancel out one variable. Students practice both techniques using real-world word problems, such as determining inventory quantities and working with age data.

Section 1

📘 Algebraic Solution of Systems

New Concept

This lesson introduces two algebraic methods—substitution and elimination—for solving systems of linear equations. You will learn to find the precise intersection point (x,y)(x, y) without graphing, and identify inconsistent or dependent systems.

What’s next

Next, you’ll master these methods through interactive examples and practice cards. Then, test your skills on challenge problems involving real-world applications.

Section 2

Substitution method

Property

To Solve a System by Substitution.

  1. Choose one of the variables in one of the equations. (It is best to choose a variable whose coefficient is 1 or -1.) Solve the equation for that variable.
  1. Substitute the result of Step 1 into the other equation. This gives an equation in one variable.

Section 3

Elimination method

Property

The elimination method, also known as the method of linear combinations, is used to solve a system by eliminating one of the variables. First, put both equations into the general linear form Ax+By=CAx + By = C. Then, add the two equations. If the coefficients of one variable are not opposites, multiply one or both equations by suitable constants to make them opposites before adding.

Examples

  • To solve the system 2x+3y=112x + 3y = 11 and 4x−3y=74x - 3y = 7, simply add the two equations. The yy-terms are eliminated, leaving 6x=186x = 18, so x=3x=3. Substitute x=3x=3 into the first equation: 2(3)+3y=112(3) + 3y = 11, which gives 6+3y=116 + 3y = 11, so 3y=53y=5 and y=53y = \frac{5}{3}. The solution is (3,53)(3, \frac{5}{3}).
  • For the system x+4y=10x + 4y = 10 and 3x+2y=103x + 2y = 10, multiply the first equation by −3-3 to get −3x−12y=−30-3x - 12y = -30. Add this to the second equation: (3x+2y)+(−3x−12y)=10−30(3x + 2y) + (-3x - 12y) = 10 - 30. This simplifies to −10y=−20-10y = -20, so y=2y=2. Then x+4(2)=10x + 4(2) = 10, so x=2x=2. The solution is (2,2)(2, 2).

Section 4

Inconsistent and dependent systems

Property

When using elimination to solve a system:

  1. If combining the two equations results in an equation of the form
0x+0y=k(k≠0)0x + 0y = k \quad (k \neq 0)

then the system is inconsistent.

  1. If combining the two equations results in an equation of the form
0x+0y=00x + 0y = 0

then the system is dependent.

Book overview

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

Continue this chapter

Chapter 2: Applications of Linear Models

  1. Lesson 1

    Lesson 1: Linear Regression

  2. Lesson 2

    Lesson 2: Linear Systems

  3. Lesson 3Current

    Lesson 3: Algebraic Solution of Systems

  4. Lesson 4

    Lesson 4: Gaussian Reduction

  5. Lesson 5

    Lesson 5: Linear Inequalities in Two Variables

  6. Lesson 6

    Lesson 6: Chapter Summary and Review

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

📘 Algebraic Solution of Systems

New Concept

This lesson introduces two algebraic methods—substitution and elimination—for solving systems of linear equations. You will learn to find the precise intersection point (x,y)(x, y) without graphing, and identify inconsistent or dependent systems.

What’s next

Next, you’ll master these methods through interactive examples and practice cards. Then, test your skills on challenge problems involving real-world applications.

Section 2

Substitution method

Property

To Solve a System by Substitution.

  1. Choose one of the variables in one of the equations. (It is best to choose a variable whose coefficient is 1 or -1.) Solve the equation for that variable.
  1. Substitute the result of Step 1 into the other equation. This gives an equation in one variable.

Section 3

Elimination method

Property

The elimination method, also known as the method of linear combinations, is used to solve a system by eliminating one of the variables. First, put both equations into the general linear form Ax+By=CAx + By = C. Then, add the two equations. If the coefficients of one variable are not opposites, multiply one or both equations by suitable constants to make them opposites before adding.

Examples

  • To solve the system 2x+3y=112x + 3y = 11 and 4x−3y=74x - 3y = 7, simply add the two equations. The yy-terms are eliminated, leaving 6x=186x = 18, so x=3x=3. Substitute x=3x=3 into the first equation: 2(3)+3y=112(3) + 3y = 11, which gives 6+3y=116 + 3y = 11, so 3y=53y=5 and y=53y = \frac{5}{3}. The solution is (3,53)(3, \frac{5}{3}).
  • For the system x+4y=10x + 4y = 10 and 3x+2y=103x + 2y = 10, multiply the first equation by −3-3 to get −3x−12y=−30-3x - 12y = -30. Add this to the second equation: (3x+2y)+(−3x−12y)=10−30(3x + 2y) + (-3x - 12y) = 10 - 30. This simplifies to −10y=−20-10y = -20, so y=2y=2. Then x+4(2)=10x + 4(2) = 10, so x=2x=2. The solution is (2,2)(2, 2).

Section 4

Inconsistent and dependent systems

Property

When using elimination to solve a system:

  1. If combining the two equations results in an equation of the form
0x+0y=k(k≠0)0x + 0y = k \quad (k \neq 0)

then the system is inconsistent.

  1. If combining the two equations results in an equation of the form
0x+0y=00x + 0y = 0

then the system is dependent.

Book overview

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

Continue this chapter

Chapter 2: Applications of Linear Models

  1. Lesson 1

    Lesson 1: Linear Regression

  2. Lesson 2

    Lesson 2: Linear Systems

  3. Lesson 3Current

    Lesson 3: Algebraic Solution of Systems

  4. Lesson 4

    Lesson 4: Gaussian Reduction

  5. Lesson 5

    Lesson 5: Linear Inequalities in Two Variables

  6. Lesson 6

    Lesson 6: Chapter Summary and Review