Math Problem Statement

Find the minimum and maximum values of the objective function f(x, y) = 5x + 9y, subject to the constraints x ≥ 0, y ≥ 0, and x + y ≤ 8.

Solution

The problem you've shared involves optimizing the objective function f(x,y)=5x+9yf(x, y) = 5x + 9y under the constraints:

  1. x0x \geq 0
  2. y0y \geq 0
  3. x+y8x + y \leq 8

To solve this, we'll follow these steps:

1. Identifying the Feasible Region

The constraints define a triangular feasible region in the first quadrant:

  • x0x \geq 0 ensures we are on or to the right of the yy-axis.
  • y0y \geq 0 ensures we are on or above the xx-axis.
  • x+y8x + y \leq 8 gives us a line with intercepts at (8,0)(8, 0) and (0,8)(0, 8).

This forms a triangular region with vertices at:

  • (0,0)(0, 0)
  • (8,0)(8, 0)
  • (0,8)(0, 8)

2. Evaluating the Objective Function at the Vertices

Next, we evaluate the objective function f(x,y)=5x+9yf(x, y) = 5x + 9y at these vertices:

  • At (0,0)(0, 0): f(0,0)=5(0)+9(0)=0f(0, 0) = 5(0) + 9(0) = 0
  • At (8,0)(8, 0): f(8,0)=5(8)+9(0)=40f(8, 0) = 5(8) + 9(0) = 40
  • At (0,8)(0, 8): f(0,8)=5(0)+9(8)=72f(0, 8) = 5(0) + 9(8) = 72

3. Checking for Other Points Along the Boundary

The line x+y=8x + y = 8 can be parameterized as x=8yx = 8 - y. Substituting into the objective function: f(x,y)=5(8y)+9y=405y+9y=40+4yf(x, y) = 5(8 - y) + 9y = 40 - 5y + 9y = 40 + 4y Thus, the value of f(x,y)f(x, y) increases as yy increases. So, the maximum occurs at y=8y = 8 and the minimum at y=0y = 0.

4. Conclusion

  • Minimum value: The minimum value of the objective function is 00, occurring at (0,0)(0, 0).
  • Maximum value: The maximum value of the objective function is 7272, occurring at (0,8)(0, 8).

Would you like further details or have any questions?

Here are 5 related questions to explore this topic further:

  1. How would the solution change if the objective function was f(x,y)=7x+4yf(x, y) = 7x + 4y?
  2. What happens if we add the constraint x6x \leq 6 to the problem?
  3. Can you solve this problem graphically by plotting the objective function and constraints?
  4. How do you determine if a point is inside the feasible region geometrically?
  5. What are the applications of linear programming in real-world scenarios?

Tip: In optimization problems, the minimum or maximum often occurs at the boundary or corner points of the feasible region, so always check the vertices!

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Linear Programming
Optimization

Formulas

f(x, y) = 5x + 9y

Theorems

Corner Point Theorem

Suitable Grade Level

Grades 9-12