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Find the critical points, domain endpoints, and local extreme values for the function.

[tex]\[ y = 5x \sqrt{64 - x^2} \][/tex]

From the critical points and domain endpoints, what is/are the point(s) corresponding to local maxima? Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

A. The point(s) corresponding to the local maxima is/are [tex]\(\square\)[/tex]
(Type an ordered pair. Type an exact answer for each coordinate, using radicals as needed. Use a comma to separate answers as needed.)

B. There are no points corresponding to local maxima.


Sagot :

Certainly! Let's work through finding the critical points, domain endpoints, and local extreme values for the function:

[tex]\[ y = 5x \sqrt{64 - x^2} \][/tex]

Step 1: Determine the domain.

The expression inside the square root, [tex]\( 64 - x^2 \)[/tex], must be non-negative for the function to be real:
[tex]\[ 64 - x^2 \geq 0 \][/tex]
[tex]\[ x^2 \leq 64 \][/tex]
[tex]\[ -8 \leq x \leq 8 \][/tex]
So, the domain is [tex]\([-8, 8]\)[/tex].

Step 2: Find the critical points.

To find the critical points, we need to take the derivative of [tex]\( y \)[/tex] with respect to [tex]\( x \)[/tex] and set it equal to zero.

[tex]\[ y = 5x \sqrt{64 - x^2} \][/tex]

Using the product rule and the chain rule, the derivative [tex]\( \frac{dy}{dx} \)[/tex] is found to be:
[tex]\[ \frac{dy}{dx} = 5 \sqrt{64 - x^2} + 5x \cdot \frac{-x}{\sqrt{64 - x^2}} \][/tex]
Simplifying:
[tex]\[ \frac{dy}{dx} = 5 \sqrt{64 - x^2} - \frac{5x^2}{\sqrt{64 - x^2}} \][/tex]
[tex]\[ \frac{dy}{dx} = \frac{5(64 - x^2) - 5x^2}{\sqrt{64 - x^2}} \][/tex]
[tex]\[ \frac{dy}{dx} = \frac{320 - 10x^2}{\sqrt{64 - x^2}} \][/tex]
Setting [tex]\( \frac{dy}{dx} = 0 \)[/tex]:
[tex]\[ 320 - 10x^2 = 0 \][/tex]
[tex]\[ 10x^2 = 320 \][/tex]
[tex]\[ x^2 = 32 \][/tex]
[tex]\[ x = \pm 4\sqrt{2} \][/tex]
So, the critical points are [tex]\( x = -4\sqrt{2} \)[/tex] and [tex]\( x = 4\sqrt{2} \)[/tex].

Step 3: Evaluate the function at the critical points and endpoints.

We now evaluate the original function [tex]\( y \)[/tex] at the critical points and the endpoints of the domain [tex]\( [-8, 8] \)[/tex].

For [tex]\( x = -4\sqrt{2} \)[/tex]:
[tex]\[ y(-4\sqrt{2}) = 5 \cdot (-4\sqrt{2}) \cdot \sqrt{64 - (-4\sqrt{2})^2} \][/tex]
[tex]\[ y(-4\sqrt{2}) = 5 \cdot (-4\sqrt{2}) \cdot \sqrt{64 - 32} \][/tex]
[tex]\[ y(-4\sqrt{2}) = 5 \cdot (-4\sqrt{2}) \cdot \sqrt{32} \][/tex]
[tex]\[ y(-4\sqrt{2}) = 5 \cdot (-4\sqrt{2}) \cdot 4\sqrt{2} \][/tex]
[tex]\[ y(-4\sqrt{2}) = 5 \cdot (-4\sqrt{2}) \cdot 4\sqrt{2} = -5 \cdot 16 \cdot 2 = -160 \][/tex]

For [tex]\( x = 4\sqrt{2} \)[/tex]:
[tex]\[ y(4\sqrt{2}) = 5 \cdot (4\sqrt{2}) \cdot \sqrt{64 - (4\sqrt{2})^2} \][/tex]
[tex]\[ y(4\sqrt{2}) = 5 \cdot (4\sqrt{2}) \cdot \sqrt{64 - 32} \][/tex]
[tex]\[ y(4\sqrt{2}) = 5 \cdot (4\sqrt{2}) \cdot \sqrt{32} \][/tex]
[tex]\[ y(4\sqrt{2}) = 5 \cdot (4\sqrt{2}) \cdot 4\sqrt{2} \][/tex]
[tex]\[ y(4\sqrt{2}) = 5 \cdot 16 \cdot 2 = 160 \][/tex]

For [tex]\( x = -8 \)[/tex]:
[tex]\[ y(-8) = 5 \cdot (-8) \cdot \sqrt{64 - (-8)^2} \][/tex]
[tex]\[ y(-8) = 5 \cdot (-8) \cdot \sqrt{64 - 64} \][/tex]
[tex]\[ y(-8) = 5 \cdot (-8) \cdot \sqrt{0} = 0 \][/tex]

For [tex]\( x = 8 \)[/tex]:
[tex]\[ y(8) = 5 \cdot 8 \cdot \sqrt{64 - 8^2} \][/tex]
[tex]\[ y(8) = 5 \cdot 8 \cdot \sqrt{64 - 64} \][/tex]
[tex]\[ y(8) = 5 \cdot 8 \cdot \sqrt{0} = 0 \][/tex]

Step 4: Identify local extrema.

From the evaluations, we have:
[tex]\[ (-4\sqrt{2}, -160), \quad (4\sqrt{2}, 160), \quad (-8, 0), \quad (8, 0) \][/tex]

Comparing the function values, we find that the local maximum value is [tex]\( 160 \)[/tex] at [tex]\( x = 4\sqrt{2} \)[/tex]. Therefore, the local maxima occurs at the point [tex]\( (4\sqrt{2}, 160) \)[/tex].

Conclusion:

From the critical points and domain endpoints, the point corresponding to the local maxima is:
[tex]\[ \boxed{(4\sqrt{2}, 160)} \][/tex]

Choosing the correct option:

A. The point(s) corresponding to the local maxima is/are [tex]\(\boxed{(4\sqrt{2}, 160)}\)[/tex]

Option B is incorrect since there are points corresponding to the local maxima.