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Solve each linear programming problem by the method of corners. Find the maximum and minimum of \(P=10 x+12 y\) subject to $$ \begin{aligned} 5 x+2 y & \geq 63 \\ x+y & \geq 18 \\ 3 x+2 y & \leq 51 \\ x \geq 0, y & \geq 0 \end{aligned} $$

Short Answer

Expert verified
The corner points of the feasible region are \((0, 31.5)\), \((9, 9)\), and \((17, 0)\). Evaluating the objective function \(P = 10x + 12y\) at these corner points, we have: 1. At \((0, 31.5)\), \(P = 10(0) + 12(31.5) = 378\) 2. At \((9, 9)\), \(P = 10(9) + 12(9) = 198\) 3. At \((17, 0)\), \(P = 10(17) + 12(0) = 170\) The maximum value of \(P\) is \(P_{max} = 378\) at the corner point \((0, 31.5)\), and the minimum value of \(P\) is \(P_{min} = 170\) at the corner point \((17, 0)\).

Step by step solution

01

Graph the constraints

First, let's graph the constraints to visualize the feasible region. The constraints are given by: 1. \(5x + 2y \geq 63\) 2. \(x + y \geq 18\) 3. \(3x + 2y \leq 51\) 4. \(x \geq 0\) 5. \(y \geq 0\) Graph these inequalities on the coordinate plane. The feasible region is the area in which all the constraints are satisfied simultaneously.
02

Identify the corner points of the feasible region

Inspect the graph and find the points where the boundary lines intersect each other. These points are the corner points of the feasible region. Note down the exact coordinates of these intersecting points, as they will be used to evaluate the objective function.
03

Evaluate the objective function at the corner points

Evaluate the objective function, \(P = 10x + 12y\), at each corner point identified in the previous step. List the values of the objective function for each point.
04

Determine the maximum and minimum

Compare the values calculated in the previous step, and select the highest and lowest values. The highest value corresponds to the maximum, and the lowest value corresponds to the minimum of the objective function \(P\). Identify the corner points at which these maximum and minimum values are achieved.

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