Math Problem Statement

For each of the following functions, find the maximum and minimum values of the function on the rectangular region: -2 \leq x \leq 2, -3 \leq y \leq 3.

Do this by looking at level curves and gradients. c.) f(x, y) = (3)^2 x^{2} - (2)^2 y^{2}.

Solution

We are tasked with finding the maximum and minimum values of the function:

f(x,y)=32x222y2=9x24y2f(x, y) = 3^2x^2 - 2^2y^2 = 9x^2 - 4y^2

on the rectangular region defined by 2x2-2 \leq x \leq 2 and 3y3-3 \leq y \leq 3. To do this, we will follow these steps:

Step 1: Compute the Gradient

To find the critical points, we need to compute the gradient of the function f(x,y)f(x, y). The gradient is given by:

f(x,y)=(fx,fy)\nabla f(x, y) = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right)

Partial Derivative with Respect to xx:

fx=x(9x24y2)=18x\frac{\partial f}{\partial x} = \frac{\partial}{\partial x} \left( 9x^2 - 4y^2 \right) = 18x

Partial Derivative with Respect to yy:

fy=y(9x24y2)=8y\frac{\partial f}{\partial y} = \frac{\partial}{\partial y} \left( 9x^2 - 4y^2 \right) = -8y

Thus, the gradient is: f(x,y)=(18x,8y)\nabla f(x, y) = (18x, -8y)

Step 2: Set the Gradient Equal to Zero

To find critical points, we set f(x,y)=0\nabla f(x, y) = 0:

18x=0and8y=018x = 0 \quad \text{and} \quad -8y = 0

Solving these, we get: x=0andy=0x = 0 \quad \text{and} \quad y = 0

Thus, the only critical point in the region is (0,0)(0, 0).

Step 3: Evaluate the Function at the Critical Point

We evaluate f(x,y)f(x, y) at (0,0)(0, 0):

f(0,0)=9(0)24(0)2=0f(0, 0) = 9(0)^2 - 4(0)^2 = 0

So, f(0,0)=0f(0, 0) = 0.

Step 4: Check the Boundaries of the Region

Next, we evaluate f(x,y)f(x, y) at the boundaries of the rectangular region.

On the boundary x=2x = 2:

f(2,y)=9(2)24y2=364y2f(2, y) = 9(2)^2 - 4y^2 = 36 - 4y^2 We check the values for y=3y = -3 and y=3y = 3:

f(2,3)=364(3)2=3636=0f(2, 3) = 36 - 4(3)^2 = 36 - 36 = 0 f(2,3)=364(3)2=3636=0f(2, -3) = 36 - 4(-3)^2 = 36 - 36 = 0

Similarly, for x=2x = -2: f(2,3)=3636=0andf(2,3)=3636=0f(-2, 3) = 36 - 36 = 0 \quad \text{and} \quad f(-2, -3) = 36 - 36 = 0

On the boundary y=3y = 3:

f(x,3)=9x24(3)2=9x236f(x, 3) = 9x^2 - 4(3)^2 = 9x^2 - 36 We check the values for x=2x = 2 and x=2x = -2:

f(2,3)=3636=0andf(2,3)=3636=0f(2, 3) = 36 - 36 = 0 \quad \text{and} \quad f(-2, 3) = 36 - 36 = 0

Similarly, for y=3y = -3, we get: f(x,3)=9x236f(x, -3) = 9x^2 - 36 And at x=2x = 2 and x=2x = -2: f(2,3)=0andf(2,3)=0f(2, -3) = 0 \quad \text{and} \quad f(-2, -3) = 0

On the boundary x=0x = 0:

f(0,y)=9(0)24y2=4y2f(0, y) = 9(0)^2 - 4y^2 = -4y^2 We check the values for y=3y = -3 and y=3y = 3:

f(0,3)=36andf(0,3)=36f(0, 3) = -36 \quad \text{and} \quad f(0, -3) = -36

Thus, the function takes its minimum value of 36-36 at (0,3)(0, 3) and (0,3)(0, -3).

Step 5: Conclusion

The function f(x,y)=9x24y2f(x, y) = 9x^2 - 4y^2 achieves its maximum value of 36 at points (2,0)(2, 0) and (2,0)(-2, 0), and its minimum value of -36 at points (0,3)(0, 3) and (0,3)(0, -3).


Would you like more details on any of the steps? Here are 5 related questions you can explore:

  1. How would the results change if the region were circular instead of rectangular?
  2. What do the level curves of this function represent geometrically?
  3. How does the choice of constants (like 9 and -4) affect the shape of the function?
  4. Can you apply this method to more complex functions like trigonometric functions?
  5. How do we determine the nature of critical points using the second derivative test?

Tip: Always check the boundaries when finding extrema in constrained regions, as the maximum or minimum might occur there.

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Math Problem Analysis

Mathematical Concepts

Multivariable Calculus
Partial Derivatives
Critical Points
Extrema

Formulas

f(x, y) = 9x^2 - 4y^2
Gradient: ∇f(x, y) = (18x, -8y)
Critical points: ∇f(x, y) = 0

Theorems

Extreme Value Theorem
Gradient Method for Finding Extrema

Suitable Grade Level

Grades 11-12 (Advanced Math/Calculus)