Math Problem Statement
Find the absolute maximum and minimum values of f on the set D.
f(x, y) = xy2 + 9, D = {(x, y) | x ≥ 0, y ≥ 0, x2 + y2 ≤ 3} Give your answer in terms of exact numbers
Solution
We are tasked with finding the absolute maximum and minimum values of the function on the set , which is a quarter-circle in the first quadrant of the plane.
Step 1: Critical points in the interior of the domain
To find critical points in the interior of , we first compute the partial derivatives of :
To find critical points, we set these partial derivatives equal to zero:
From , we get . Substituting into the second equation , this holds true for any . Thus, the possible critical points are along the -axis where .
Step 2: Boundary points (constraint )
Next, we examine the boundary of the set , which is the portion of the circle in the first quadrant.
We parametrize the boundary using polar coordinates: where because we are in the first quadrant.
Substitute these into :
We now need to maximize and minimize this expression over .
Step 3: Evaluate at critical points and boundary
At :
At boundary points:
Let's evaluate the function at a few key points on the boundary.
-
At (corresponding to ):
-
At (corresponding to ):
-
At (corresponding to ):
\approx 9.649$$
Step 4: Conclusion
Thus, the absolute maximum value is approximately , which occurs at . The absolute minimum value is , occurring at , , and .
Do you want more details or have any questions?
5 Related Questions:
- How can we apply the Lagrange multiplier method to this problem?
- How would the solution change if the constraint set covered the entire circle?
- What happens if the function is changed to ?
- How do we find the global maximum of a function over an unbounded region?
- Can the critical points of give local extrema even outside the boundary?
Tip:
When solving optimization problems with constraints, always check both the interior and the boundary for potential maxima and minima.
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Math Problem Analysis
Mathematical Concepts
Multivariable Calculus
Optimization
Partial Derivatives
Constrained Optimization
Polar Coordinates
Formulas
f_x(x, y) = ∂/∂x (xy^2 + 9) = y^2
f_y(x, y) = ∂/∂y (xy^2 + 9) = 2xy
Parametric equations for boundary: x = √3 cos θ, y = √3 sin θ
Theorems
Critical Points
Boundary Constraints
First Quadrant Optimization
Suitable Grade Level
Grades 11-12, Undergraduate
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