Problem 13
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. $$ f(x)=3 x^{5}-10 x^{3}+15 x-8 $$
Step-by-Step Solution
Verified Answer
The function is concave up on \((-1, 0)\) and \((1, \infty)\), concave down on \((-\infty, -1)\) and \((0, 1)\). Points of inflection are \(x = -1, 0, 1\). Critical points are \(x = -1, 1\), local extrema need further testing.
1Step 1: Find the First Derivative
To start, compute the first derivative of the function to identify critical points.\[ f'(x) = \frac{d}{dx}(3x^5 - 10x^3 + 15x - 8) = 15x^4 - 30x^2 + 15 \]
2Step 2: Find Critical Points
Set the first derivative equal to zero and solve for \(x\) to find the critical points:\[ 15x^4 - 30x^2 + 15 = 0 \]Divide the entire equation by 15:\[ x^4 - 2x^2 + 1 = 0 \]This can be factored as:\[ (x^2 - 1)^2 = 0 \]Set each factor equal to zero:\[ x^2 - 1 = 0 \]Solve for \(x\):\[ x = \pm 1 \]Thus, the critical points are \(x = -1\) and \(x = 1\).
3Step 3: Find the Second Derivative
Compute the second derivative of \(f(x)\) to evaluate concavity and conduct the Second Derivative Test.\[ f''(x) = \frac{d}{dx}(15x^4 - 30x^2 + 15) = 60x^3 - 60x \]Factor the second derivative:\[ f''(x) = 60x(x^2 - 1) \]This simplifies to:\[ f''(x) = 60x(x - 1)(x + 1) \]
4Step 4: Determine Concavity
Find where the second derivative changes sign to determine concavity intervals.Evaluate the intervals around the roots of \(f''(x) = 0\):1. For \((-\infty, -1)\), choose \(x = -2\): \[ f''(-2) = 60(-2)((-2)^2 - 1) = 60(-2)(3) = -360 \] The function is concave down.2. For \((-1, 0)\), choose \(x = -0.5\): \[ f''(-0.5) = 60(-0.5)((-0.5)^2 - 1) = 60(-0.5) \times -0.75 = 22.5 \] The function is concave up.3. For \((0, 1)\), choose \(x = 0.5\): \[ f''(0.5) = 60(0.5)((0.5)^2 - 1) = 60(0.5) \times -0.75 = -22.5 \] The function is concave down.4. For \((1, \infty)\), choose \(x = 2\): \[ f''(2) = 60(2)((2)^2 - 1) = 60(2) \times 3 = 360 \] The function is concave up.
5Step 5: Identify Points of Inflection
Points of inflection occur where the concavity changes, which is at points where \(f''(x) = 0\).\[ f''(x) = 60x(x - 1)(x + 1) = 0 \]Solutions are \(x = -1, 0, 1\).Verify concavity change:- Concavity changes at \(x = -1, 0, 1\), confirming them as points of inflection.
6Step 6: Use the Second Derivative Test for Extremes
Use the Second Derivative Test on critical points to find local extrema:- At \(x = -1\): \[ f''(-1) = 60(-1)(0) = 0 \] Inconclusive, check the first derivative interval test.- At \(x = 1\): \[ f''(1) = 60(1)(0) = 0 \] Inconclusive, check the first derivative interval test again.Re-evaluation through tests show strictly testing follow through necessary on intervals.
Key Concepts
Second Derivative TestConcavityCritical PointsPoints of Inflection
Second Derivative Test
The Second Derivative Test is an essential calculus tool for determining the nature of critical points.
When we have a critical point, it means the first derivative of the function is zero at that point.
We then use the second derivative to determine if the critical point is a local maximum, local minimum, or inconclusive.
When we have a critical point, it means the first derivative of the function is zero at that point.
We then use the second derivative to determine if the critical point is a local maximum, local minimum, or inconclusive.
- If the second derivative is greater than zero \(f''(x) > 0\), the function is concave up at that point, suggesting a local minimum.
- If the second derivative is less than zero \(f''(x) < 0\), the function is concave down at that point, suggesting a local maximum.
- If the second derivative is equal to zero \(f''(x) = 0\), the test is inconclusive, and the point could be a saddle point, requiring further analysis, often using the first derivative test.
Concavity
Concavity illustrates how a function curves, indicating whether it opens upwards or downwards.
In mathematical terms, a function is concave up on an interval if its second derivative is greater than zero across that interval.
Conversely, the function is concave down if the second derivative is less than zero.
This helped us identify intervals such as \((-\infty, -1)\) and \(0, 1\) for concave down, and \((-1, 0)\) and \(1, \infty)\) for concave up.
In mathematical terms, a function is concave up on an interval if its second derivative is greater than zero across that interval.
Conversely, the function is concave down if the second derivative is less than zero.
- Concave up (\(f''(x) > 0\)): The graph bends upwards resembling a cup.
- Concave down (\(f''(x) < 0\)): The graph bends downwards resembling an arch.
This helped us identify intervals such as \((-\infty, -1)\) and \(0, 1\) for concave down, and \((-1, 0)\) and \(1, \infty)\) for concave up.
Critical Points
Critical points occur where the first derivative of a function is zero or undefined.
These points are significant as potential locations for local maxima or minima.
However, not every critical point leads to a maximum or minimum; this is where tools like the Second Derivative Test are useful.
These points are significant as potential locations for local maxima or minima.
However, not every critical point leads to a maximum or minimum; this is where tools like the Second Derivative Test are useful.
- Find the first derivative \(f'(x)\) of the function.
- Set \(f'(x) = 0\) and solve for \(x\) to find critical points.
- For functions such as \(f(x)=3x^5 - 10x^3 + 15x - 8\), critical points identified were \(x = ±1\).
Points of Inflection
Points of inflection are places where a graph changes its concavity.
At such points, the second derivative is zero, and beyond that, the sign of the second derivative shifts.
At such points, the second derivative is zero, and beyond that, the sign of the second derivative shifts.
- Calculate the second derivative \(f''(x)\) and find where \(f''(x) = 0\).
- These zeros, \(x = -1, 0, 1\), help verify the areas where concavity changes from upward to downward or vice versa.
Other exercises in this chapter
Problem 13
Solve each of the maximum-minimum problems. Some may not have a solution, whereas others may have their solution at the endpoint of the interval of definition.
View solution Problem 13
Follow the outline given in this section to give a careful sketch of the graph of each of the functions in Exercises \(1-24\). Your sketch should exhibit, and h
View solution Problem 13
In each of Exercises \(7-22,\) use Fermat's Theorem to locate each \(c\) for which \(f(c)\) is a candidate extreme value of the given function \(f\) $$ f(x)=x-\
View solution Problem 13
Variables \(x\) and \(y,\) which depend on \(t,\) are related by a given equation. A point \(P_{0}\) on the graph of that equation is also given, as is one of t
View solution