Chapter 4: Problem 65
Explain what is wrong with the statement. If \(p\) is a critical point, and \(f^{\prime}\) is negative to the left of \(p\) and positive to the right of \(p,\) and if \(f^{\prime \prime}(p)\) exists, then \(f^{\prime \prime}(p)>0\).
Short Answer
Expert verified
The statement incorrectly assumes \( f''(p) > 0 \) from \( f' \) sign change without evaluating \( f''(p) \).
Step by step solution
01
Understanding Critical Points
A critical point of a function occurs where the derivative is zero or undefined. It is a potential location for a local maximum, minimum, or an inflection point. For this problem, we need to analyze what having a positive derivative to the right and a negative to the left of a critical point implies.
02
Analyzing Derivative Changes
If the derivative of a function, \( f' \), is negative to the left of a point \( p \) and positive to the right, it indicates that \( p \) is likely a local minimum. This information doesn't directly relate to the sign of the second derivative at \( p \).
03
Second Derivative Test
The second derivative test states that if \( f''(p) > 0 \), then there is a local minimum at \( p \), and if \( f''(p) < 0 \), there is a local maximum. If \( f''(p) = 0 \), the test is inconclusive.
04
Identifying the Error
The error in the statement is the implication that \( f''(p) > 0 \) solely from the behavior of \( f'(x) \) around \( p \). The change in sign of \( f'(x) \) indicates a local minimum but does not imply that \( f''(p) > 0 \) without directly evaluating \( f''(p) \). For example, \( f'(x) = (x-p)^3 \) has \( f'(x) < 0 \) for \( x < p \) and \( f'(x) > 0 \) for \( x > p \) but still satisfies \( f''(p) = 0 \).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Derivative
The derivative of a function, denoted as \( f'(x) \), represents the rate at which the function's value changes as \( x \) changes. It's essentially the slope of the tangent line at any given point on a curve. This makes it a powerful tool for understanding the behavior of functions.
- When \( f'(x) > 0 \), the function is increasing at that point.
- When \( f'(x) < 0 \), the function is decreasing.
- \( f'(x) = 0 \) often indicates a critical point, where the function could have a local maximum, minimum, or a saddle point.
Second Derivative Test
The second derivative, \( f''(x) \), gives us information about the concavity of the function at a particular point. It directly tells us about the "curviness" of the function.
- If \( f''(x) > 0 \), the function is concave up, like a smile, indicating a local minimum might exist.
- If \( f''(x) < 0 \), the function is concave down, like a frown, indicating a local maximum might exist.
- When \( f''(x) = 0 \), the test does not provide definitive information about maxima or minima.
Local Minimum
A local minimum of a function occurs at a point where the function changes direction from decreasing to increasing. Visually, it is a point where the curve reaches its lowest value in a small neighborhood around it.
To mathematically identify a local minimum at a critical point:\
To mathematically identify a local minimum at a critical point:\
- The first derivative \( f'(x) \) changes from negative to positive around a critical point.
- The second derivative \( f''(p) \) is positive, confirming the presence of a concave up curve.
Inflection Point
An inflection point is where a function changes concavity, from concave up to concave down or vice versa. It's different from the critical points that indicate local maxima or minima.
Characteristics of an inflection point include:
Characteristics of an inflection point include:
- The second derivative \( f''(x) \) equals zero (\( f''(x) = 0 \)) at the inflection point itself.
- A sign change must occur in \( f''(x) \) before and after the point.