Math Problem Statement
14.7: Global Optimization Find the absolute maximum and minimum values of the function f (x, y ) = xy 2 on the domain D = {(x, y )|x ≥ 0, y ≤ 0, x2 + y 2 ≤ 9} can you use a table or 2nd derivative test table if you can
Solution
To find the absolute maximum and minimum values of over the domain , we’ll examine critical points within the interior of and analyze the behavior of on the boundary.
Step 1: Define and Analyze Critical Points
1. Compute the partial derivatives of :
2. Set the partial derivatives to zero to find the critical points:
For , we have . For , we have .
Since , the only solution is . Thus, the only critical point in the interior of is at .
Step 2: Evaluate at the Critical Point
Step 3: Examine the Boundary of
The boundary of is defined by with and . Parameterize this boundary using polar coordinates where and , with .
Substitute these into :
To find the maximum and minimum, we need to analyze on the interval .
Rewrite Using Trigonometric Identity
Using the identity :
Define , where . Then .
Differentiate :
Set :
Evaluate at Critical Points and Endpoints
-
At :
-
At :
-
At :
Conclusion
The absolute maximum value of on is and the absolute minimum value is . These occur at:
- Maximum at and on the boundary where or .
- Minimum at .
Would you like more detailed steps on solving this or to explore similar problems?
Follow-Up Questions:
- How does the boundary of a domain affect finding the extrema of a function?
- What role does parameterization play in boundary evaluations for optimization?
- How can polar coordinates simplify the analysis of circular regions?
- When is the second derivative test useful in finding absolute extrema?
- How do critical points in a function’s interior compare to those on the boundary?
Tip:
When analyzing extrema on a domain, remember to always consider both interior points and boundary points.
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Math Problem Analysis
Mathematical Concepts
Multivariable Calculus
Optimization
Partial Derivatives
Boundary Analysis
Polar Coordinates
Formulas
f(x, y) = xy^2
f_x = y^2
f_y = 2xy
x^2 + y^2 = 9 (Boundary of Domain)
Polar Coordinates: x = r cos θ, y = r sin θ
Theorems
Critical Points Theorem
Optimization on a Closed and Bounded Domain
Trigonometric Identities for Optimization
Suitable Grade Level
Undergraduate Calculus (Calculus III or Multivariable Calculus)
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