Pregunta
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Ask by Huang Stephens. in the United States
Mar 20,2025

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The maximum value of is 3 when and .

Solución

To maximize the objective function subject to the constraints:
We will first rewrite the constraints in a more manageable form and then find the feasible region. After that, we will evaluate the objective function at the vertices of the feasible region to find the maximum value.

Step 1: Rewrite the Constraints

  1. From , we can express it as .
  2. The second constraint remains as is.
  3. The non-negativity constraints and also remain.

Step 2: Find the Feasible Region

Now we will find the intersection points of the lines defined by the constraints:
  1. Intersection of and :
    So, the point is .
  2. Intersection of and :
    So, the point is .
  3. Intersection of and :
    This does not provide a new point since is the x-axis.

Step 3: Evaluate the Objective Function at the Vertices

The vertices of the feasible region are:
Now we will evaluate at these points:
  1. At :
  2. At :
  3. At :

Step 4: Determine the Maximum Value

The maximum value of occurs at the point where .

Conclusion

The maximum value of subject to the given constraints is at the point .

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Bonus Knowledge

To tackle the problem of maximizing subject to the constraints given, first, we need to identify the feasible region defined by the inequalities.
  1. Constraints Analysis:
    • For the constraint , we can express in terms of :
    • For the constraint , this simply bounds from above.
    • The constraints and ensure we are within the first quadrant.
  2. Finding Intersection Points:
    Let’s find the points where the lines intersect:
    • Set in the first inequality:
    This means we have a line segment with critical points at and where (which gives ). Thus, we find the intersection at .
    Therefore, our vertices of the feasible region that we can check for maximizing are , , and (where can be zero, leading to point ).
  3. Evaluating Objective Function at Vertices:
    • At :
    • At :
    • At :
  4. Conclusion:
    The maximum of occurs at the point with . Hence, the maximum value of under the given constraints is .

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