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 f(x,y)=xy2f(x, y) = xy^2 over the domain D={(x,y)x0,y0,x2+y29}D = \{(x, y) | x \geq 0, y \leq 0, x^2 + y^2 \leq 9\}, we’ll examine critical points within the interior of DD and analyze the behavior of ff on the boundary.

Step 1: Define and Analyze Critical Points

1. Compute the partial derivatives of ff:

fx=x(xy2)=y2f_x = \frac{\partial}{\partial x} (xy^2) = y^2 fy=y(xy2)=2xyf_y = \frac{\partial}{\partial y} (xy^2) = 2xy

2. Set the partial derivatives to zero to find the critical points:

For fx=0f_x = 0, we have y2=0y=0y^2 = 0 \Rightarrow y = 0. For fy=0f_y = 0, we have 2xy=02xy = 0.

Since y=0y = 0, the only solution is x=0x = 0. Thus, the only critical point in the interior of DD is at (0,0)(0, 0).

Step 2: Evaluate ff at the Critical Point

f(0,0)=0f(0, 0) = 0

Step 3: Examine the Boundary of DD

The boundary of DD is defined by x2+y2=9x^2 + y^2 = 9 with x0x \geq 0 and y0y \leq 0. Parameterize this boundary using polar coordinates where x=3cosθx = 3 \cos \theta and y=3sinθy = 3 \sin \theta, with πθ3π2\pi \leq \theta \leq \frac{3\pi}{2}.

Substitute these into f(x,y)=xy2f(x, y) = xy^2: f(3cosθ,3sinθ)=(3cosθ)(3sinθ)2=3cosθ9sin2θ=27cosθsin2θf(3 \cos \theta, 3 \sin \theta) = (3 \cos \theta)(3 \sin \theta)^2 = 3 \cos \theta \cdot 9 \sin^2 \theta = 27 \cos \theta \sin^2 \theta

To find the maximum and minimum, we need to analyze 27cosθsin2θ27 \cos \theta \sin^2 \theta on the interval πθ3π2\pi \leq \theta \leq \frac{3\pi}{2}.

Rewrite Using Trigonometric Identity

Using the identity sin2θ=1cos2θ\sin^2 \theta = 1 - \cos^2 \theta: f(3cosθ,3sinθ)=27cosθ(1cos2θ)f(3 \cos \theta, 3 \sin \theta) = 27 \cos \theta (1 - \cos^2 \theta)

Define u=cosθu = \cos \theta, where 1u0-1 \leq u \leq 0. Then f(u)=27u(1u2)=27(uu3)f(u) = 27 u (1 - u^2) = 27(u - u^3).

Differentiate f(u)=27(uu3)f(u) = 27(u - u^3):

f(u)=27(13u2)f'(u) = 27(1 - 3u^2) Set f(u)=0f'(u) = 0: 13u2=0u2=13u=131 - 3u^2 = 0 \Rightarrow u^2 = \frac{1}{3} \Rightarrow u = -\frac{1}{\sqrt{3}}

Evaluate f(u)f(u) at Critical Points and Endpoints

  1. At u=13u = -\frac{1}{\sqrt{3}}: f(13)=27(13(13)3)=27(13+133)=18f\left(-\frac{1}{\sqrt{3}}\right) = 27\left(-\frac{1}{\sqrt{3}} - \left(-\frac{1}{\sqrt{3}}\right)^3\right) = 27\left(-\frac{1}{\sqrt{3}} + \frac{1}{3\sqrt{3}}\right) = -18

  2. At u=1u = -1: f(1)=27(1(1)3)=0f(-1) = 27(-1 - (-1)^3) = 0

  3. At u=0u = 0: f(0)=0f(0) = 0

Conclusion

The absolute maximum value of f(x,y)f(x, y) on DD is 00 and the absolute minimum value is 18-18. These occur at:

  • Maximum at (0,0)(0, 0) and on the boundary where u=0u = 0 or u=1u = -1.
  • Minimum at u=13u = -\frac{1}{\sqrt{3}}.

Would you like more detailed steps on solving this or to explore similar problems?

Follow-Up Questions:

  1. How does the boundary of a domain affect finding the extrema of a function?
  2. What role does parameterization play in boundary evaluations for optimization?
  3. How can polar coordinates simplify the analysis of circular regions?
  4. When is the second derivative test useful in finding absolute extrema?
  5. 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)