Math Problem Statement
minimize 4 x+5 y for the bounded feasible region displayed above
Solution
To minimize the objective function over a bounded feasible region, we'll need to follow these steps:
Step 1: Identify the system of inequalities that define the feasible region
This region is usually defined by a set of linear inequalities. If this system was provided earlier (or in your description), it would have constraints like:
If these inequalities define the feasible region, we need to identify the corner points (or vertices) of this region.
Step 2: Find the corner points
The corner points (vertices) of the feasible region are the points where the boundary lines of the inequalities intersect. To find them, we solve pairs of equations formed by the boundaries of the inequalities.
- Solve and (assembly and finishing constraints).
- Find intersections with axes (e.g., or ) to find other corner points.
Let's start by solving the two constraint equations together.
a) Solve and
From , solve for :
Substitute into the first equation :
Now, substitute back into :
This gives the intersection point . However, because is negative and the feasible region requires , this point is outside the feasible region.
b) Find intersections with the axes
We need to find valid corner points where the lines intersect the positive axes (, ):
- When in , we get .
- When in , we get (2x = 110\
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Math Problem Analysis
Mathematical Concepts
Linear Programming
Optimization
Inequalities
Formulas
Objective function: 4x + 5y
Linear inequality constraints
Theorems
Fundamental Theorem of Linear Programming
Corner-point method
Suitable Grade Level
Grades 11-12
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