Math Problem Statement
An objective function and a system of linear inequalities representing constraints are given. Complete parts (a) through (c). Objective Function zequals7 x plus 11 y Constraints font size decreased by 1 left brace Start 2 By 1 Matrix 1st Row 1st Column x plus y less than or equals 14 2nd Row 1st Column x plus 2 y less than or equals 18 EndMatrix
Question content area bottom left Part 1 a. Graph the system of inequalities representing the constraints on the given graph of the first Quadrant. Use the graphing tool to graph the system.
Part 2 b. Find the value of the objective function at each corner of the graphed region bounded by the given constraints and the boundaries of the first Quadrant, xgreater than or equals0 and ygreater than or equals0. The values of the objective function are enter your response here. (Type integers or simplified fractions. Use a comma to separate answers as needed.) Part 3 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. The maximum value of z is zequals enter your response here. (Type an integer or a simplified fraction.) Part 4 The maximum occurs at enter your response here. (Type an ordered pair.) . . . Question content area right Part 1 0 2 4 6 8 10 12 14 16 18 20 0 2 4 6 8 10 12 14 16 18 20 x y
Solution
Let's break down the problem and solve it step by step.
Part 1: Graph the System of Inequalities
The constraints given are:
Additionally, the problem states the inequalities must be bounded by the first quadrant, so we add:
- and
To graph the system:
-
Graph the boundary line of :
- When , (point ).
- When , (point ).
- Draw the line through these points, shading below the line for .
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Graph the boundary line of :
- When , , so (point ).
- When , (point ).
- Draw the line through these points, shading below the line for .
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First Quadrant restrictions: Shade the area where and , meaning the feasible region is in the first quadrant.
The vertices of the feasible region will be the intersections of these lines and the boundaries.
Part 2: Find the Objective Function at Each Corner
To solve the objective function , we need the coordinates of the corner points of the feasible region.
The corner points occur at:
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Intersection of and : Solve the system of equations:
x + y &= 14 \quad \text{(1)}\\ x + 2y &= 18 \quad \text{(2)} \end{aligned}$$ Subtract equation (1) from equation (2): $$(x + 2y) - (x + y) = 18 - 14 \implies y = 4$$ Substitute $$y = 4$$ into equation (1): $$x + 4 = 14 \implies x = 10$$ So, the intersection point is $$(10, 4)$$. -
Intersection of and : When , substitute into : So, this point is .
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Intersection of and : When , substitute into : So, this point is .
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Intersection of and (Origin): The point is .
Now, we have four points: , , , and .
Part 3: Objective Function Values at Each Corner
Now, plug the corner points into the objective function :
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At :
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At :
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At :
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At :
Part 4: Maximum Value of the Objective Function
The maximum value of occurs at the point , where .
Summary:
- Maximum value of :
- Point of maximum :
Let me know if you'd like more details on any step, or clarification. Here are five questions to further your understanding:
- How do we interpret the feasible region in the context of linear programming?
- What is the significance of finding corner points in linear programming problems?
- Can the maximum or minimum of a linear objective function occur at an interior point of the feasible region?
- How would the solution change if the constraints were strict inequalities (e.g., )?
- How can we extend the idea of objective functions to nonlinear problems?
Tip: Always check for corner points of the feasible region when maximizing or minimizing a linear objective function.
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Math Problem Analysis
Mathematical Concepts
Linear Programming
Systems of Inequalities
Optimization
Objective Functions
Formulas
z = 7x + 11y
x + y ≤ 14
x + 2y ≤ 18
Theorems
Corner Point Theorem (Linear Programming)
Feasible Region in Linear Programming
Suitable Grade Level
Grades 10-12
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