Chapter 4: Problem 218
Draw a graph that satisfies the given specifications for the domain
\(x=[-3,3]\). The
function does not have to be continuous or differentiable.
\(\quad f^{\prime \prime}(x)<0 \quad\) over
\(-1
Short Answer
Expert verified
Draw a curve with concavity constraints, maximizing at \(x=0\) and minimizing at \(x = \pm 2\).
Step by step solution
01
Understand the Given Specifications
First, we need to understand what the given specifications mean. The graph must have: \( f''(x) < 0\) for \(-1 < x < 1\) which means the graph is concave down in this interval. \( f''(x) > 0\) when \(-3 < x < -1\) and \(1 < x < 3\), so the graph is concave up in these intervals. There should be a local maximum at \(x=0\) and local minima at \(x=\pm 2\).
02
Sketch Basic Structure Based on Concavity
Begin by sketching the basic structure of the function using the intervals of concavity. \(f''(x) < 0\) for \(-1 < x < 1\) suggests a shape like an upside-down bowl, and \(f''(x) > 0\) for \(-3 < x < -1\) and \(1 < x < 3\) means right-side-up bowls. This helps place the regions where the curve bends.
03
Place Local Maximum and Minima
Place a local maximum at \(x = 0\). This will be the peak of the upside-down bowl. At \(x = -2\) and \(x = 2\), place local minima. Both these points will be the bottoms of the right-side-up bowls. Ensure the changes between these points reflect the concavity given.
04
Connect Points Considering Domain and Cues
Now, start connecting these points smoothly within the specified domain \([-3, 3]\) based on the concavity. Ensure the curve transitions smoothly between \(x = -3\) and \(x = -1\), \(x = -1\) to \(x = 1\), and \(x = 1\) to \(x = 3\) while respecting the concavity and critical points (local max and mins).
05
Verify the Graph Satisfies All Conditions
Lastly, check if the sketched graph satisfies all conditions: - It should be concave down in \(-1 < x < 1\), indicating \(f''(x) < 0\).- It should be concave up in \(-3 < x < -1\) and \(1 < x < 3\), indicating \(f''(x) > 0\).- Local maxima and minima should be correctly placed at \(x = 0\) and \(x = \pm 2\) respectively.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Understanding Concavity
Concavity reveals the direction in which a curve bends. Imagine the curve like a bowl. If the bowl opens upwards, it is 'concave up', and if it opens downwards, it's 'concave down'.
- A graph is concave up if its derivative, which is the rate of change, is increasing. This happens when the second derivative, denoted as \( f''(x) \), is greater than zero.
- Conversely, a graph is concave down if its derivative is decreasing. This occurs when \( f''(x) < 0 \), indicating the curve is bending downwards.
- When sketching a curve, the intervals of concavity help determine the overall shape. For example, in the domain \([-3,3]\) with \( f''(x) < 0 \) for \(-1 < x < 1\), the curve is concave down, resembling an upside-down bowl. Alternatively, for \( f''(x) > 0 \) in the intervals \(-3 < x < -1\) and \(+1 < x < 3\), the curve is concave up, appearing like a right-side-up bowl. This behavior influences where peaks and valleys occur on the graph.
Identifying Local Maximum
A local maximum is a point where the function reaches a peak. This means that the value of the function at this point is higher than at any other point in the immediate vicinity.
- To identify a local maximum, we look for where the first derivative, \( f'(x) \), changes from positive to negative. This implies a rise followed by a fall, akin to a peak on a hill.
- Mathematically, it occurs where \( f'(x) = 0 \) and \( f''(x) < 0 \).
Spotting Local Minimum
Local minima are the troughs in a graph, where the function takes its lowest value in a particular region.
- A local minimum is characterized by the derivative changing from negative to positive, indicating a drop followed by an ascent.
- It occurs when \( f'(x) = 0 \) with \( f''(x) > 0 \).
Roles of Derivatives
Derivatives play a crucial role in understanding the behavior of functions. They help determine the rate at which one quantity changes in relation to another.
- The first derivative, \( f'(x) \), provides information about the slope of the function. When \( f'(x) > 0 \), the function increases; when \( f'(x) < 0 \), it decreases.
- The second derivative, \( f''(x) \), reveals concavity, offering insights into how the curve bends.