Chapter 2: Problem 14
Use the given information to make a good sketch of the function \(f(x)\) near \(x=3\). $$f(3)=-2, f^{\prime}(3)=0, f^{\prime \prime}(3)=1$$
Short Answer
Expert verified
Sketch a curve with a local minimum at \((3, -2)\), a horizontal tangent at \(x = 3\), and the function concave up around this point.
Step by step solution
01
Interpret the Given Information
The point of interest is at \(x = 3\). The function value at this point is \(f(3) = -2\). The first derivative at this point is \(f^{\textprime}(3) = 0\), which indicates a potential local maximum, minimum, or inflection point. The second derivative at this point is \(f^{\textprime \textprime}(3) = 1\), which is positive, indicating that the function is concave up at \(x = 3\).
02
Plot the Key Point
Start by plotting the point \((3, -2)\) on the graph. This is the point where the function value is provided.
03
Analyze the First Derivative
Since \(f^{\textprime}(3) = 0\), the slope of the tangent to the curve at \(x = 3\) is horizontal. Draw a horizontal tangent line at the point \((3, -2)\).
04
Conclude the Behavior Using the Second Derivative
Given that \(f^{\textprime \textprime}(3) = 1\), the function is concave up at \(x = 3\). This suggests that \((3, -2)\) is a local minimum point.
05
Sketch the Function near \(x=3\)
Using the information above, sketch a curve near \(x = 3\) such that it has a local minimum at the point \((3, -2)\). Ensure the curve flattens out into a horizontal tangent at this point before continuing to curve upwards as it moves away from \(x = 3\).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Local Minimum
A local minimum of a function is a point where the function has a lower value than at any nearby points. For the function given in the exercise, we see that the value of the first derivative at \(x = 3\) is zero, i.e., \(f^{\textprime}(3) = 0\). This tells us that \(x = 3\) is a critical point. To determine whether this critical point is a local minimum, maximum, or a point of inflection, we check the second derivative. In this case, the second derivative at \(x = 3\) is positive, \(f^{\textprime \textprime}(3) = 1\), which indicates the function is concave up, confirming that the point \((3, -2)\) is indeed a local minimum.
- Critical point: \(f^{\textprime}(3) = 0\)
- Concave up: \(f^{\textprime \textprime}(3) > 0\)
- Local minimum: Point \((3, -2)\)
First Derivative
The first derivative of a function, denoted as \(f^{\textprime}(x)\), represents the slope of the tangent line to the curve at any given point. In the exercise, \(f^{\textprime}(3) = 0\) implies that the slope of the tangent line at \(x = 3\) is zero. This means the tangent at \((3, -2)\) is horizontal. Horizontal tangents occur at local maxima, minima, or inflection points.
To sketch the function correctly:
To sketch the function correctly:
- Evaluate \(f^{\textprime}(x)\) to find critical points
- In this problem, \(f^{\textprime}(3) = 0\) indicates a horizontal tangent at \(x = 3\)
Second Derivative
The second derivative, \(f^{\textprime \textprime}(x)\), provides information about the concavity of the function. In this exercise, it's given that \(f^{\textprime \textprime}(3) = 1\). A positive second derivative signifies that the function is concave up at the point \(x = 3\).
Key points about second derivatives:
Key points about second derivatives:
- If \(f^{\textprime \textprime}(x) > 0\), the function is concave up at that point
- If \(f^{\textprime \textprime}(x) < 0\), the function is concave down at that point
- Used to identify the nature of critical points detected by the first derivative
Concavity
Concavity describes the direction the function curves. When a function is concave up, it looks similar to a 'U' shape; when concave down, it forms an 'n' shape. In this exercise, because \(f^{\textprime \textprime}(3) = 1\) is positive, the function is concave up at \(x = 3\). This information confirms the presence of a local minimum at \((3, -2)\).
Understanding concavity:
Understanding concavity:
- A function concave up \rightarrow \(f^{\textprime \textprime}(x) > 0\)
- A function concave down \rightarrow \(f^{\textprime \textprime}(x) < 0\)
- Determines shaping of the curve near critical points