Question
upstudy study bank question image url

Maximize

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

Upstudy AI Solution

Tutor-Verified Answer

Answer

The maximum value of is 3 when and .

Solution

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 .

Answered by UpStudy AI and reviewed by a Professional Tutor

error msg
Explain
Simplify this solution

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 .

Try Premium now!
Try Premium and ask Thoth AI unlimited math questions now!
Maybe later Go Premium
Study can be a real struggle
Why not UpStudy it?
Select your plan below
Premium

You can enjoy

Start now
  • Step-by-step explanations
  • 24/7 expert live tutors
  • Unlimited number of questions
  • No interruptions
  • Full access to Answer and Solution
  • Full Access to PDF Chat, UpStudy Chat, Browsing Chat
Basic

Totally free but limited

  • Limited Solution
Welcome to UpStudy!
Please sign in to continue the Thoth AI Chat journey
Continue with Email
Or continue with
By clicking “Sign in”, you agree to our Terms of Use & Privacy Policy