Problem 30
Question
Determine the intervals on which the given function \(f\) is concave up, the intervals on which \(f\) is concave down, and the points of inflection of \(f\). Find all critical points. Use the Second Derivative Test to identify the points \(x\) at which \(f(x)\) is a local minimum value and the points at which \(f(x)\) is a local maximum value. $$ f(x)=x-\ln (x)+2 / x $$
Step-by-Step Solution
Verified Answer
The function is concave up for \( x > 0 \), with no points of inflection. A local minimum is at \( x = 2 \).
1Step 1: Find the First Derivative
First, we need to calculate the first derivative of the function, \( f(x) = x - \ln(x) + \frac{2}{x} \). The derivative of \( x \) is 1, the derivative of \( -\ln(x) \) is \( -\frac{1}{x} \), and the derivative of \( \frac{2}{x} \) is \( -\frac{2}{x^2} \). So, the first derivative is:\[ f'(x) = 1 - \frac{1}{x} - \frac{2}{x^2} \]
2Step 2: Find the Second Derivative
Now, find the second derivative of \( f(x) \) to analyze concavity. Differentiate \( f'(x) = 1 - \frac{1}{x} - \frac{2}{x^2} \):The derivative of \( -\frac{1}{x} \) is \( \frac{1}{x^2} \) and the derivative of \( -\frac{2}{x^2} \) is \( \frac{4}{x^3} \). Therefore, the second derivative is:\[ f''(x) = \frac{1}{x^2} + \frac{4}{x^3} \]
3Step 3: Determine Concavity
To determine intervals of concavity, evaluate the sign of \( f''(x) \):- \( f''(x) > 0 \) implies the function is concave up.- \( f''(x) < 0 \) implies the function is concave down.Simplify the expression:\[ f''(x) = \frac{x + 4}{x^3} \]The critical point here is when \( x = -4 \), but since \( x > 0 \) because of the ln function, consider sign changes around \( x = 0 \):- If \( x > 0 \), then \( f''(x) > 0 \). Thus, the function is concave up for \( x > 0 \).
4Step 4: Identify Points of Inflection
Points of inflection occur where \( f''(x) = 0 \) or changes sign. However, the only valid concern is when the function transitions through 0, which does not occur in our domain of \( x > 0 \), as \( f''(x) = \frac{x + 4}{x^3} \) remains positive for all \( x > 0 \). Hence, there are no points of inflection for \( x > 0 \).
5Step 5: Solve for Critical Points using First Derivative
Set the first derivative \( f'(x) = 1 - \frac{1}{x} - \frac{2}{x^2} = 0 \) to find critical points. Simplify and solve:\[ 1 - \frac{1}{x} - \frac{2}{x^2} = 0 \]Multiply by \( x^2 \):\[ x^2 - x - 2 = 0 \]This factors to \((x - 2)(x + 1) = 0 \), giving solutions \( x = 2 \) and \( x = -1 \) (only \( x = 2 \) is valid for \( x > 0 \)).
6Step 6: Apply the Second Derivative Test
Use the second derivative test on \( x = 2 \) to determine local extrema.Since \( f''(2) > 0 \), \( f(x) \) has a local minimum at \( x = 2 \).
Key Concepts
Critical PointsConcavityPoints of InflectionLocal Extrema
Critical Points
Critical points of a function occur where the first derivative is zero or undefined. These points are crucial in determining potential areas where the function might have local maxima or minima. For the function given, we found the first derivative:
- \( f'(x) = 1 - \frac{1}{x} - \frac{2}{x^2} \)
- \( 1 - \frac{1}{x} - \frac{2}{x^2} = 0 \)
Concavity
Understanding concavity is key to getting a grasp on the shape of the graph of a function. A function is
- Concave up when its second derivative \( f''(x) > 0 \).
- Concave down when \( f''(x) < 0 \).
- \( f''(x) = \frac{1}{x^2} + \frac{4}{x^3} \)
- \( f''(x) = \frac{x + 4}{x^3} \)
Points of Inflection
Points of inflection are where the curve changes concavity, marking a shift from concave up to concave down, or vice versa. For this function, points of inflection occur where the second derivative equals zero or changes sign. Here we solved for:
- \( f''(x) = \frac{x + 4}{x^3} \)
Local Extrema
Local extrema refer to the local minima and maxima within the domain of a function. Once the critical points are identified, the Second Derivative Test becomes a useful tool to determine the nature of these points.
- If \( f''(x) > 0 \) at a critical point, it indicates a local minimum.
- If \( f''(x) < 0 \), it's a local maximum.
- The second derivative \( f''(2) \) is positive, suggesting that \( x = 2 \) is a point of local minimum.
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