Math Problem Statement
Solution
The problem provides the function and asks us to find the absolute maximum and minimum on the region , which defines a square region with corners at .
1. Steps to find the absolute maximum and minimum:
Step 1: Find the partial derivatives.
We need the critical points by setting the partial derivatives of equal to zero.
- Partial derivative with respect to :
- Partial derivative with respect to :
Setting both derivatives to 0:
Both equations are identical, so they reduce to:
Step 2: Check the critical point.
Using and substituting it back into the region , we test the origin .
Evaluating the function at this point:
Thus, the function takes the value 5 at the origin.
Step 3: Evaluate the function on the boundaries of .
We now check the boundary of the region, which consists of the lines and .
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On : This simplifies to . The minimum occurs at , giving: The maximum occurs at , giving:
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On : The minimum occurs at , giving: The maximum occurs at , giving:
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On or , similar calculations yield the same results:
- Minimum value: at points and
- Maximum value: at points and
Step 4: Conclusion.
- Absolute Maximum: at and .
- Absolute Minimum: at the origin , as well as at and .
Final Answers:
- Absolute Maximum:
- Absolute Minimum:
Would you like further details or a visualization of the region?
Here are 5 related questions to deepen your understanding:
- How would the solution change if the region were a circle instead of a square?
- What happens if the function is modified to ?
- How do we determine if a critical point is a minimum or maximum using the second derivative test?
- What role do boundaries play in constrained optimization problems?
- Can the method of Lagrange multipliers be applied here to find extrema?
Tip: In optimization problems, always consider both critical points and boundaries when working on closed regions.
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Math Problem Analysis
Mathematical Concepts
Multivariable Calculus
Critical Points
Boundary Analysis
Constrained Optimization
Formulas
f(x, y) = x^2 + y^2 + 2xy + 5
Partial Derivatives: f_x = 2x + 2y, f_y = 2y + 2x
Theorems
Extreme Value Theorem
Critical Point Analysis
Suitable Grade Level
Undergraduate Calculus (Calculus III or Multivariable Calculus)
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