Table of contents
- 0. Review of Algebra4h 16m
- 1. Equations & Inequalities3h 18m
- 2. Graphs of Equations43m
- 3. Functions2h 17m
- 4. Polynomial Functions1h 44m
- 5. Rational Functions1h 23m
- 6. Exponential & Logarithmic Functions2h 28m
- 7. Systems of Equations & Matrices4h 6m
- 8. Conic Sections2h 23m
- 9. Sequences, Series, & Induction1h 19m
- 10. Combinatorics & Probability1h 45m
7. Systems of Equations & Matrices
Graphing Systems of Inequalities
13:16 minutes
Problem 9
Textbook Question
Textbook QuestionIn Exercises 5–14, an objective function and a system of linear inequalities representing constraints are given. a. Graph the system of inequalities representing the constraints. b. Find the value of the objective function at each corner of the graphed region. c. Use the values in part (b) to determine the maximum value of the objective function and the values of x and y for which the maximum occurs.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Graphing Linear Inequalities
Graphing linear inequalities involves representing the solutions of an inequality on a coordinate plane. Each inequality corresponds to a region on the graph, which is determined by the boundary line. The area above or below the line, depending on the inequality sign, indicates where the solutions lie. Understanding how to graph these inequalities is crucial for visualizing the feasible region in optimization problems.
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Objective Function
An objective function is a mathematical expression that defines the goal of an optimization problem, typically to maximize or minimize a certain quantity. In this context, the objective function is represented as 'z = 5x - y', where 'z' depends on the variables 'x' and 'y'. Evaluating this function at the vertices of the feasible region allows us to determine the optimal solution that meets the constraints.
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Feasible Region and Corner Points
The feasible region is the area on the graph where all constraints of the inequalities are satisfied simultaneously. The corner points, or vertices, of this region are critical because, according to the Fundamental Theorem of Linear Programming, the maximum or minimum value of the objective function occurs at one of these points. Identifying and evaluating these corner points is essential for solving the optimization problem effectively.
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