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Honors Algebra II Unit 3 Review: Linear Equations and Inequalities

Unit 3 is about lines and the regions they cut out of the coordinate plane, and how to use several of them at once to describe real limits. After this unit you should be able to solve systems of equations by graphing, substitution, and elimination, graph systems of inequalities, and use linear programming to find the best outcome under constraints.

Read the overview for the big picture, then work through each review note and answer its checkpoint question before checking the answer.

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What is Honors Algebra II unit 3?

This unit builds on the linear equations you already know and asks you to handle several conditions at the same time. You'll move between equations, graphs, and word problems. The unit ends with linear programming, which ties all of those pieces together.

Honors Algebra II Unit 3 covers linear equations and inequalities in two variables, systems of linear equations and inequalities, and linear programming. You write and graph lines in slope-intercept, point-slope, and standard form, and you shade half-planes for inequalities using solid or dashed boundaries. You solve systems by graphing, substitution, and elimination, and you classify them as having one solution, no solution, or infinitely many solutions. Then you set up constraints and an objective function, graph the feasible region, and check whether a maximum or minimum exists. When the feasible region is closed and has vertices, you can test them to find an optimal value if one exists. Exact topics and order vary by school, but these skills lead directly into precalculus.

A linear equation is a line, and a linear inequality is a half-plane.

Every solution of y=2x+1y = 2x + 1 sits on one line. Every solution of y>2x+1y > 2x + 1 sits on one side of that line. The boundary is solid when the line is included (≤\le or ≥\ge) and dashed when it isn't (<< or >>).

The solution to a system is whatever all the conditions share.

For two equations, that's the intersection point, or no point if the lines are parallel, or every point if the lines are the same. For inequalities, it's the overlap of all the shaded regions. Substitution and elimination give exact answers when a graph can't.

Linear programming finds the best choice inside a feasible region.

Constraints create a feasible region, which may be bounded or unbounded. For a closed feasible region with vertices, an objective function such as profit P=3x+5yP = 3x + 5y reaches an optimal value at a vertex if an optimal value exists.

Several linear conditions define the set of allowed answers, and corners can help you find an optimal value.

Lines and half-planes are the building blocks. A system's solution set contains every point that satisfies all its conditions, and it can be empty. Linear programming adds a goal and uses the feasible region to find an optimal value when one exists.

Honors Algebra II unit 3 topics

3.2

Linear Programming

Linear programming finds the maximum or minimum value of a linear expression when the variables must follow a set of linear inequalities.

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Unit 3 review notes

3.1

Systems of Linear Equations and Inequalities

A system of linear equations is two or more equations involving the same variables. For a system in two variables, the solution set contains every ordered pair that makes all the equations true at once. On a graph, those are the points shared by all the lines.

You have three ways to solve a system. Graphing shows the picture but can miss fractional answers. Substitution works best when one variable is already alone or has a coefficient of 1. Elimination works best when the equations are in standard form and you can scale them so one variable cancels.

Worked example. Solve 3x+2y=163x + 2y = 16 and x−y=2x - y = 2. The second equation gives x=y+2x = y + 2. Substitute that into the first equation to get 3(y+2)+2y=163(y + 2) + 2y = 16, so 5y+6=165y + 6 = 16 and y=2y = 2. Then x=2+2=4x = 2 + 2 = 4. Check in the first equation, where 3(4)+2(2)=163(4) + 2(2) = 16 is true. The solution is (4,2)(4, 2).

When solving two line equations, a false statement like 0=50 = 5 means the lines are distinct and parallel, so there is no solution. A true statement like 0=00 = 0 means the equations describe the same line, so there are infinitely many solutions.

For a system of inequalities, the solution is the overlap of all the shaded half-planes. That overlap can be a region, a line, a point, or empty. A point counts only if it satisfies every inequality, and points on a dashed boundary are not included.

  • Substitution: Solve one equation for a variable, then plug that expression into the other equation.
  • Elimination: Multiply equations so one variable has opposite coefficients, then add the equations to cancel it.
  • Inconsistent system: A system with no solution. A false statement like 0=50 = 5 can show that a system is inconsistent.
  • Dependent system: For a system of two line equations, a system in which both equations describe the same line, giving infinitely many solutions.

Check yourself: Solve 2x+3y=122x + 3y = 12 and 4x−3y=64x - 3y = 6. (Answer: Add the equations to get 6x=186x = 18, so x=3x = 3. Then 2(3)+3y=122(3) + 3y = 12 gives y=2y = 2, so the solution is (3,2)(3, 2).)

CaseSlopes and intercepts for nonvertical linesWhat the algebra showsNumber of solutions
Lines crossDifferent slopesA single value for each variableExactly one
Parallel linesSame slope, different y-interceptsA false statement such as $0 = 5$None
Same lineSame slope, same y-interceptA true statement such as $0 = 0$Infinitely many
3.2

Linear Programming

Linear programming finds the maximum or minimum value of a linear expression when the variables must follow a set of linear inequalities. Every problem has three parts. The decision variables are the quantities you choose. The constraints are the limits on those quantities. The objective function is the quantity you want to maximize or minimize.

Graph all the constraints, including x≥0x \ge 0 and y≥0y \ge 0 when negative amounts make no sense. The overlap of the shaded regions is the feasible region. For a closed feasible region with vertices, the Corner Point Theorem says that an optimal value, if one exists, occurs at a vertex. Testing the vertices finds an optimal value, though other points may also give that value.

Worked example. A bakery makes xx trays of muffins and yy trays of cookies. Oven space gives x+y≤10x + y \le 10, and labor gives x+3y≤18x + 3y \le 18, with x,y≥0x, y \ge 0. Profit is P=3x+5yP = 3x + 5y. The vertices are (0,0)(0, 0), (10,0)(10, 0), (0,6)(0, 6), and the intersection of x+y=10x + y = 10 with x+3y=18x + 3y = 18. Subtracting those equations gives 2y=82y = 8, so y=4y = 4 and x=6x = 6. Testing each vertex gives P=0P = 0, 3030, 3030, and 3838. The maximum profit is 38 dollars at 6 muffin trays and 4 cookie trays.

If the region is unbounded, a maximum or minimum might not exist, so check before you report one.

  • Objective function: The linear expression, such as P=3x+5yP = 3x + 5y, that you want to maximize or minimize.
  • Feasible region: The set of all points that satisfy every constraint at the same time.
  • Corner Point Theorem: For a closed feasible region with vertices, a linear objective function reaches an optimal value at a vertex if an optimal value exists.

Check yourself: With vertices (0,0)(0, 0), (8,0)(8, 0), (5,3)(5, 3), and (0,5)(0, 5), where does C=2x+4yC = 2x + 4y reach its maximum? (Answer: The values are 0, 16, 22, and 20, so the maximum is 22 at (5,3)(5, 3).)

3.3

Linear Equations and Inequalities in Two Variables

A linear equation in two variables graphs as a straight line, and every point on the line is a solution. For two points with x1≠x2x_1 \ne x_2, the slope m=y2−y1x2−x1m = \frac{y_2 - y_1}{x_2 - x_1} is the rate of change. Horizontal lines have slope 0, and vertical lines have undefined slope. In context, the slope is a rate like dollars per hour, and the y-intercept is a starting value like a flat fee.

You'll use three forms. Slope-intercept form is y=mx+by = mx + b, point-slope form is y−y1=m(x−x1)y - y_1 = m(x - x_1), and standard form is Ax+By=CAx + By = C. A nonvertical line can be written in any of these forms, so pick the form that matches the information you have. A vertical line can be written in standard form, but not in slope-intercept or point-slope form.

Worked example. Find the line through (2,5)(2, 5) and (6,−3)(6, -3). The slope is −3−56−2=−84=−2\frac{-3 - 5}{6 - 2} = \frac{-8}{4} = -2. Point-slope form gives y−5=−2(x−2)y - 5 = -2(x - 2). Distribute to get y=−2x+9y = -2x + 9, which is 2x+y=92x + y = 9 in standard form.

To graph an inequality, draw the boundary line, solid for ≤\le or ≥\ge and dashed for << or >>. Then test a point not on the line, usually (0,0)(0, 0). If the test point makes the inequality true, shade its side. If you multiply or divide both sides by a negative number while solving, flip the inequality symbol.

  • Slope: The change in yy divided by the change in xx between two points with different xx-coordinates. A vertical line has undefined slope.
  • Boundary line: The line that splits the plane for an inequality, drawn solid if included and dashed if not.
  • Test point: A point off the boundary that you substitute into an inequality to decide which side to shade.

Check yourself: For 2x−y<42x - y < 4, is the boundary solid or dashed, and which side do you shade? (Answer: It's dashed because the symbol is <<. Testing (0,0)(0, 0) gives 0<40 < 4, which is true, so shade the side containing the origin. That's the region above y=2x−4y = 2x - 4.)

FormEquationUse it when
Slope-intercept$y = mx + b$You know the slope and y-intercept or want to graph quickly
Point-slope$y - y_1 = m(x - x_1)$You know a slope and one point, or two points
Standard$Ax + By = C$You want intercepts fast or plan to use elimination

Key terms

TermDefinition
System of linear equationsTwo or more linear equations with the same variables, solved together by finding values that satisfy all of them.
Half-planeThe region on one side of a line, which is the graph of a single linear inequality.
Slope-intercept formThe equation $y = mx + b$, where $m$ is the slope and $b$ is the y-intercept.
Point-slope formThe equation $y - y_1 = m(x - x_1)$, built from one known point and the slope.
Standard formThe equation $Ax + By = C$, where $A$ and $B$ are not both zero.
ConstraintA linear inequality that limits the possible values of the variables, such as a budget or time limit.
Feasible regionThe overlap of all constraint regions, containing every point that satisfies the whole system.
VertexA corner of the feasible region where two boundary lines intersect.
Objective functionThe linear expression maximized or minimized in a linear programming problem.

Mistakes to avoid in Linear Equations and Inequalities

Forgetting to flip the inequality after multiplying or dividing by a negative

Multiplying by a negative reverses the order of numbers, so the symbol has to reverse too. For example, −3y≥6x−12-3y \ge 6x - 12 becomes y≤−2x+4y \le -2x + 4 after dividing by −3-3. Adding or subtracting never flips the sign. Multiplying or dividing by a negative always does.

Shading by the symbol without solving for y first

The rule "less than means shade below" only works once the inequality is in the form y<…y < \ldots. In 2x−y<42x - y < 4 the symbol is <<, but solving gives y>2x−4y > 2x - 4, so you shade above. A test point such as (0,0)(0, 0) identifies the correct side when it is not on the boundary line.

Misreading $0 = 0$ and $0 = 5$ when solving a system

When solving two line equations, both variables may cancel. A true statement like 0=00 = 0 means the lines are the same and there are infinitely many solutions. A false statement like 0=50 = 5 means the lines are distinct and parallel, so there are no solutions. Neither result means the answer is x=0x = 0.

Skipping a vertex or a constraint in linear programming

If you leave out a required constraint, such as x≥0x \ge 0 or y≥0y \ge 0, or forget a vertex, you can miss the true maximum. List every boundary line, find every corner of the feasible region, and evaluate the objective function at all of them before you compare.

Study unit 3 other ways

Ready to review Unit 3?Start with the notes, check the topic cards, and use the practice or resource links when they are available for this course.