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
10:45 minutes
Problem 7b
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.
Linear Inequalities
Linear inequalities are mathematical expressions that involve a linear function and an inequality sign (such as <, >, ≤, or ≥). They define a region on a graph where the solutions to the inequality exist. In this context, the inequalities represent constraints that limit the feasible solutions for the variables x and y.
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Graphing Systems of Inequalities
Graphing systems of inequalities involves plotting each inequality on a coordinate plane to visualize the feasible region where all constraints are satisfied. The solution set is typically the intersection of the regions defined by each inequality, and it is bounded by the lines representing the equalities of the inequalities.
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Objective Function
An objective function is a mathematical expression that defines a quantity to be maximized or minimized, given certain constraints. In this case, the objective function z = x + 8y needs to be evaluated at the vertices (corners) of the feasible region to determine the maximum value, which is essential in optimization problems.
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