Given Y = X 3 - 12X 2 + 36X + 8, identify which one of the following is CORRECT:
To determine where a function has local maximum or minimum points, we use calculus. The key steps involve finding the first and second derivatives of the function.
The given function is:
\( Y = X^3 - 12X^2 + 36X + 8 \)
The first derivative of the function, denoted \( Y' \) or \( \frac{dY}{dX} \), tells us about the slope of the tangent line to the curve at any point \( X \). Local maximum or minimum points occur where the slope is zero.
\( Y' = \frac{d}{dX}(X^3 - 12X^2 + 36X + 8) \)
Using the power rule (\( \frac{d}{dX}(X^n) = nX^{n-1} \)) and the rule for constants (\( \frac{d}{dX}(c) = 0 \)):
\( Y' = 3X^{3-1} - 12 \cdot 2X^{2-1} + 36 \cdot 1X^{1-1} + 0 \)
\( Y' = 3X^2 - 24X + 36 \)
Critical points are potential locations for local maximum or minimum values. They occur where the first derivative is equal to zero or undefined. For polynomial functions, the first derivative is always defined. So, we set \( Y' = 0 \):
\( 3X^2 - 24X + 36 = 0 \)
We can divide the entire equation by 3 to simplify:
\( X^2 - 8X + 12 = 0 \)
This is a quadratic equation. We can solve it by factoring:
\( (X - 2)(X - 6) = 0 \)
Setting each factor to zero gives the critical points:
The critical points are \( X = 2 \) and \( X = 6 \).
The second derivative, denoted \( Y'' \) or \( \frac{d^2Y}{dX^2} \), tells us about the concavity of the function. We use it to classify the critical points found in the previous step.
\( Y'' = \frac{d}{dX}(3X^2 - 24X + 36) \)
Using the power rule again:
\( Y'' = 3 \cdot 2X^{2-1} - 24 \cdot 1X^{1-1} + 0 \)
\( Y'' = 6X - 24 \)
We evaluate the second derivative at each critical point:
At \( X = 2 \):
\( Y''(2) = 6(2) - 24 \)
\( Y''(2) = 12 - 24 \)
\( Y''(2) = -12 \)
Since \( Y''(2) < 0 \), the function has a local maximum at \( X = 2 \).
At \( X = 6 \):
\( Y''(6) = 6(6) - 24 \)
\( Y''(6) = 36 - 24 \)
\( Y''(6) = 12 \)
Since \( Y''(6) > 0 \), the function has a local minimum at \( X = 6 \).
Based on this analysis, the function \( Y \) is minimum at \( X = 6 \) and maximum at \( X = 2 \).
Let's check the given options:
Therefore, the correct statement is that Y is minimum at \( X = 6 \) and maximum at \( X = 2 \).
| Point | First Derivative \( Y' \) | Second Derivative \( Y'' \) | Conclusion |
|---|---|---|---|
| \( X = 2 \) | \( Y'(2) = 0 \) | \( Y''(2) = -12 < 0 \) | Local Maximum |
| \( X = 6 \) | \( Y'(6) = 0 \) | \( Y''(6) = 12 > 0 \) | Local Minimum |
| Step | Action | Purpose |
|---|---|---|
| 1 | Calculate the first derivative \( Y' \). | Find where the slope is zero or undefined (critical points). |
| 2 | Set \( Y' = 0 \) and solve for \( X \). | Identify the critical points. |
| 3 | Calculate the second derivative \( Y'' \). | Determine the concavity at the critical points. |
| 4 | Evaluate \( Y'' \) at each critical point. | Classify critical points as local maximum (\( Y'' < 0 \)) or local minimum (\( Y'' > 0 \)). If \( Y'' = 0 \), the test is inconclusive. |
While this question focuses on maximum and minimum points, it's useful to understand inflection points, which are mentioned in one of the options.
Concavity is determined by the sign of the second derivative \( Y'' \):
Inflection points occur where \( Y'' = 0 \) or is undefined, and where the sign of \( Y'' \) changes around that point.
For our function \( Y'' = 6X - 24 \). Setting \( Y'' = 0 \):
\( 6X - 24 = 0 \)
\( 6X = 24 \)
\( X = 4 \)
Now, check the sign of \( Y'' \) around \( X = 4 \):
Since the concavity changes at \( X = 4 \), there is an inflection point at \( X = 4 \). This confirms that options stating inflection points at X=2 and X=6 are incorrect.
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