Learn on PengiYoshiwara Intermediate AlgebraChapter 2: Applications of Linear Models

Lesson 2: Linear Systems

In this Grade 7 lesson from Yoshiwara Intermediate Algebra (Chapter 2), students learn how to define and solve a 2Γ—2 linear system of two equations in two unknowns by identifying ordered pair solutions that satisfy both equations simultaneously. Students practice solving linear systems by graphing, locating the intersection point of two lines on a coordinate plane, and using a graphing calculator to find solutions. The lesson also distinguishes key vocabulary such as intercept versus intersect and reinforces solution-checking by substituting values back into both equations.

Section 1

πŸ“˜ Linear Systems

New Concept

A linear system uses two or more equations to solve a problem with multiple unknowns. The goal is to find a single ordered pair, like (x,y)(x, y), that satisfies all equationsβ€”the unique point where their graphs intersect.

What’s next

Next, you'll see how graphing reveals the solution. Get ready for interactive examples and practice cards to pinpoint where the lines cross.

Section 2

Systems of equations

Property

A pair of linear equations like 3t+6r=483t + 6r = 48 and 5t+2r=325t + 2r = 32 is an example of a linear system of two equations in two unknowns (or a 2Γ—22 \times 2 linear system). A solution to the system is an ordered pair of numbers, (t,r)(t, r), that satisfies both equations in the system.

Examples

  • To check if (5,βˆ’2)(5, -2) is a solution to the system 3xβˆ’2y=193x - 2y = 19 and 4x+5y=104x + 5y = 10, we substitute the values. 3(5)βˆ’2(βˆ’2)=193(5) - 2(-2) = 19 is true, and 4(5)+5(βˆ’2)=104(5) + 5(-2) = 10 is also true, so it is the solution.
  • Is (3,5)(3, 5) the solution to the system a+b=8a + b = 8 and 2aβˆ’b=12a - b = 1? We check both equations. 3+5=83 + 5 = 8 is true, and 2(3)βˆ’5=12(3) - 5 = 1 is also true. Yes, it is the solution.

Section 3

Solving systems by graphing

Property

Every point on the graph of an equation represents a solution to that equation. A solution to a system of two equations must be a point that lies on both graphs. Therefore, a solution to the system is a point where the two graphs intersect.

Examples

  • For the system y=x+2y = x + 2 and y=βˆ’x+4y = -x + 4, graphing the lines shows they intersect at the point (1,3)(1, 3). Therefore, the solution to the system is x=1,y=3x=1, y=3.
  • To solve the system y=1.7x+0.4y = 1.7x + 0.4 and y=4.1x+5.2y = 4.1x + 5.2, we can graph both lines. The intersection point occurs at (βˆ’2,βˆ’3)(-2, -3), which is the solution to the system.

Section 4

Types of linear systems

Property

There are three types of 2Γ—22 \times 2 linear system:

  1. Consistent and independent system. The graphs of the two lines intersect in exactly one point. The system has exactly one solution.
  2. Inconsistent system. The graphs of the equations are parallel lines and hence do not intersect. An inconsistent system has no solutions.
  3. Dependent system. All the solutions of one equation are also solutions to the second equation. The graphs of the two equations are the same line. A dependent system has infinitely many solutions.

Examples

  • The system y=2x+3y = 2x + 3 and y=2xβˆ’1y = 2x - 1 is inconsistent. The lines have the same slope (22) but different y-intercepts, so they are parallel and never intersect. There is no solution.
  • The system x+y=5x+y=5 and 2x+2y=102x+2y=10 is dependent. The second equation is just the first multiplied by 2. Their graphs are the same line, resulting in infinitely many solutions.

Section 5

Supply and demand

Property

The demand equation gives the number of units of the product that consumers will buy at a given price. The supply equation gives the number of units that the producer will supply at that price. The price at which the supply and demand are equal is called the equilibrium price.

Examples

  • A mill's supply is y=400xy = 400x and demand is y=6000βˆ’100xy = 6000 - 100x, where xx is the price. At equilibrium, 400x=6000βˆ’100x400x = 6000 - 100x. Solving for xx gives an equilibrium price of 12 dollars, where 4800 yards are sold.
  • A farmer's supply of pumpkins is S=20pβˆ’50S = 20p - 50 and demand is D=100βˆ’10pD = 100 - 10p, where pp is price. Equilibrium occurs when S=DS=D, so 20pβˆ’50=100βˆ’10p20p - 50 = 100 - 10p. The equilibrium price is 5 dollars.

Section 6

Break-even analysis

Property

A business venture calculates its profit by subtracting its costs from its revenue. The formula is Profit = Revenue - Cost. If the company's revenue exactly equals its costs (so that their profit is zero), we say that the business venture will break even.

Examples

  • A company's cost is C=200+4xC = 200 + 4x and its revenue is R=12xR = 12x. To break even, C=RC=R, so 200+4x=12x200 + 4x = 12x. Solving for xx gives x=25x=25. The company must sell 25 pendants to break even.
  • A bakery has daily costs of C=90+0.60xC = 90 + 0.60x and revenue of R=1.50xR = 1.50x. The break-even point is when 90+0.60x=1.50x90 + 0.60x = 1.50x. Solving this shows the bakery must sell 100 loaves to break even.

Book overview

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Chapter 2: Applications of Linear Models

  1. Lesson 1

    Lesson 1: Linear Regression

  2. Lesson 2Current

    Lesson 2: Linear Systems

  3. Lesson 3

    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

πŸ“˜ Linear Systems

New Concept

A linear system uses two or more equations to solve a problem with multiple unknowns. The goal is to find a single ordered pair, like (x,y)(x, y), that satisfies all equationsβ€”the unique point where their graphs intersect.

What’s next

Next, you'll see how graphing reveals the solution. Get ready for interactive examples and practice cards to pinpoint where the lines cross.

Section 2

Systems of equations

Property

A pair of linear equations like 3t+6r=483t + 6r = 48 and 5t+2r=325t + 2r = 32 is an example of a linear system of two equations in two unknowns (or a 2Γ—22 \times 2 linear system). A solution to the system is an ordered pair of numbers, (t,r)(t, r), that satisfies both equations in the system.

Examples

  • To check if (5,βˆ’2)(5, -2) is a solution to the system 3xβˆ’2y=193x - 2y = 19 and 4x+5y=104x + 5y = 10, we substitute the values. 3(5)βˆ’2(βˆ’2)=193(5) - 2(-2) = 19 is true, and 4(5)+5(βˆ’2)=104(5) + 5(-2) = 10 is also true, so it is the solution.
  • Is (3,5)(3, 5) the solution to the system a+b=8a + b = 8 and 2aβˆ’b=12a - b = 1? We check both equations. 3+5=83 + 5 = 8 is true, and 2(3)βˆ’5=12(3) - 5 = 1 is also true. Yes, it is the solution.

Section 3

Solving systems by graphing

Property

Every point on the graph of an equation represents a solution to that equation. A solution to a system of two equations must be a point that lies on both graphs. Therefore, a solution to the system is a point where the two graphs intersect.

Examples

  • For the system y=x+2y = x + 2 and y=βˆ’x+4y = -x + 4, graphing the lines shows they intersect at the point (1,3)(1, 3). Therefore, the solution to the system is x=1,y=3x=1, y=3.
  • To solve the system y=1.7x+0.4y = 1.7x + 0.4 and y=4.1x+5.2y = 4.1x + 5.2, we can graph both lines. The intersection point occurs at (βˆ’2,βˆ’3)(-2, -3), which is the solution to the system.

Section 4

Types of linear systems

Property

There are three types of 2Γ—22 \times 2 linear system:

  1. Consistent and independent system. The graphs of the two lines intersect in exactly one point. The system has exactly one solution.
  2. Inconsistent system. The graphs of the equations are parallel lines and hence do not intersect. An inconsistent system has no solutions.
  3. Dependent system. All the solutions of one equation are also solutions to the second equation. The graphs of the two equations are the same line. A dependent system has infinitely many solutions.

Examples

  • The system y=2x+3y = 2x + 3 and y=2xβˆ’1y = 2x - 1 is inconsistent. The lines have the same slope (22) but different y-intercepts, so they are parallel and never intersect. There is no solution.
  • The system x+y=5x+y=5 and 2x+2y=102x+2y=10 is dependent. The second equation is just the first multiplied by 2. Their graphs are the same line, resulting in infinitely many solutions.

Section 5

Supply and demand

Property

The demand equation gives the number of units of the product that consumers will buy at a given price. The supply equation gives the number of units that the producer will supply at that price. The price at which the supply and demand are equal is called the equilibrium price.

Examples

  • A mill's supply is y=400xy = 400x and demand is y=6000βˆ’100xy = 6000 - 100x, where xx is the price. At equilibrium, 400x=6000βˆ’100x400x = 6000 - 100x. Solving for xx gives an equilibrium price of 12 dollars, where 4800 yards are sold.
  • A farmer's supply of pumpkins is S=20pβˆ’50S = 20p - 50 and demand is D=100βˆ’10pD = 100 - 10p, where pp is price. Equilibrium occurs when S=DS=D, so 20pβˆ’50=100βˆ’10p20p - 50 = 100 - 10p. The equilibrium price is 5 dollars.

Section 6

Break-even analysis

Property

A business venture calculates its profit by subtracting its costs from its revenue. The formula is Profit = Revenue - Cost. If the company's revenue exactly equals its costs (so that their profit is zero), we say that the business venture will break even.

Examples

  • A company's cost is C=200+4xC = 200 + 4x and its revenue is R=12xR = 12x. To break even, C=RC=R, so 200+4x=12x200 + 4x = 12x. Solving for xx gives x=25x=25. The company must sell 25 pendants to break even.
  • A bakery has daily costs of C=90+0.60xC = 90 + 0.60x and revenue of R=1.50xR = 1.50x. The break-even point is when 90+0.60x=1.50x90 + 0.60x = 1.50x. Solving this shows the bakery must sell 100 loaves to break even.

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 2Current

    Lesson 2: Linear Systems

  3. Lesson 3

    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