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:
on the rectangular region defined by and . 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 . The gradient is given by:
Partial Derivative with Respect to :
Partial Derivative with Respect to :
Thus, the gradient is:
Step 2: Set the Gradient Equal to Zero
To find critical points, we set :
Solving these, we get:
Thus, the only critical point in the region is .
Step 3: Evaluate the Function at the Critical Point
We evaluate at :
So, .
Step 4: Check the Boundaries of the Region
Next, we evaluate at the boundaries of the rectangular region.
On the boundary :
We check the values for and :
Similarly, for :
On the boundary :
We check the values for and :
Similarly, for , we get: And at and :
On the boundary :
We check the values for and :
Thus, the function takes its minimum value of at and .
Step 5: Conclusion
The function achieves its maximum value of 36 at points and , and its minimum value of -36 at points and .
Would you like more details on any of the steps? Here are 5 related questions you can explore:
- How would the results change if the region were circular instead of rectangular?
- What do the level curves of this function represent geometrically?
- How does the choice of constants (like 9 and -4) affect the shape of the function?
- Can you apply this method to more complex functions like trigonometric functions?
- 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)
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