Math Problem Statement
Solution
Let's solve this optimization problem:
Problem Statement
Given non-negative numbers and such that , we need to:
- Find the values of and that maximize .
- Determine the maximum value of .
Solution
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Set Up the Expression to Maximize: We are asked to maximize with the constraint .
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Express in Terms of : From the constraint , we can rewrite as:
Substituting into , we get:
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Differentiate with Respect to : To find the maximum, we take the derivative of with respect to :
Set to find critical points: This gives or .
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Evaluate and at Critical Points:
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When :
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When :
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Conclusion: The maximum value of is , which occurs when and .
Answers
- The values of and that maximize are and .
- The maximum value of is .
Would you like a more detailed explanation of each step, or do you have any specific questions?
Here are some additional questions related to this topic:
- How would the solution change if the constraint were instead of ?
- Can we use the second derivative test to confirm that gives a maximum?
- What would happen if we were asked to maximize instead of ?
- Could we solve this problem using Lagrange multipliers?
- How would the solution differ if and were allowed to be negative?
Tip: When solving optimization problems with constraints, substituting one variable in terms of another (using the constraint) often simplifies the calculations.
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Math Problem Analysis
Mathematical Concepts
Optimization
Calculus
Derivatives
Constraints
Formulas
f(x, y) = xy^2
Constraint: x + y = 9
f(y) = (9 - y)y^2 = 9y^2 - y^3
Theorems
Critical Points Theorem
Suitable Grade Level
College Level Calculus
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