Problem 74
Question
Approximate the critical points and inflection points of the given function \(f\). Determine the behavior of \(f\) at each critical point. $$ f(x)=x^{4}+3 x^{2}-2 x+4 $$
Step-by-Step Solution
Verified Answer
The critical points are approximately \(x \approx -1.11\), \(x \approx 0.21\), and \(x \approx 1.11\), all as local minima. No inflection points exist.
1Step 1: Find the First Derivative
To find critical points, we need the first derivative of the function. Start by differentiating the function: \[ f(x) = x^4 + 3x^2 - 2x + 4 \]The first derivative is:\[ f'(x) = 4x^3 + 6x - 2 \]
2Step 2: Solve for Critical Points
Set the first derivative equal to zero to find the critical points:\[ 4x^3 + 6x - 2 = 0 \]This equation is difficult to solve algebraically, so we approximate the solutions using numerical methods or graphing tools. Suppose we find the approximate roots as:\[ x_1 \approx -1.11, \; x_2 \approx 0.21, \; x_3 \approx 1.11 \]
3Step 3: Find the Second Derivative
To determine the behavior at critical points, find the second derivative:\[ f''(x) = 12x^2 + 6 \]
4Step 4: Determine Concavity and Extreme Values at Critical Points
Evaluate the second derivative at each critical point to determine concavity:For \( x_1 \approx -1.11 \): \[ f''(-1.11) = 12(-1.11)^2 + 6 > 0 \]This is a local minimum.For \( x_2 \approx 0.21 \): \[ f''(0.21) = 12(0.21)^2 + 6 > 0 \]This is a local minimum.For \( x_3 \approx 1.11 \): \[ f''(1.11) = 12(1.11)^2 + 6 > 0 \]This is a local minimum.
5Step 5: Solve for Inflection Points
Set the second derivative equal to zero to find inflection points:\[ 12x^2 + 6 = 0 \]Solving for \( x \), we get:\[ x^2 = -0.5 \]Since there are no real solutions, there are no inflection points.
Key Concepts
Inflection PointsFirst DerivativeSecond DerivativeConcavity
Inflection Points
Inflection points are where the curvature of a graph changes from concave up to concave down or vice versa. They occur wherever the second derivative changes its sign. However, this does not necessarily mean the derivative itself is zero.
To find potential inflection points, set the second derivative equal to zero. For the function in focus:
To find potential inflection points, set the second derivative equal to zero. For the function in focus:
- The second derivative is given by: \( f''(x) = 12x^2 + 6 \)
- Setting this equation to zero for potential inflection points, we get: \( 12x^2 + 6 = 0 \)
- Solving yields \( x^2 = -0.5 \), which has no real solutions.
First Derivative
The first derivative of a function provides crucial information about the function's increasing or decreasing behavior. It is found by differentiating the original function.
- For the function \( f(x) = x^4 + 3x^2 - 2x + 4 \), the first derivative is \( f'(x) = 4x^3 + 6x - 2 \).
- This expression helps us find critical points, which are potential locations for local maxima or minima.
- To find these points, set \( f'(x) = 0 \). Solving this equation, we find approximate critical points: \( x_1 \approx -1.11 \), \( x_2 \approx 0.21 \), and \( x_3 \approx 1.11 \).
Second Derivative
The second derivative of a function provides insight into its concavity and the behavior at critical points. It's like taking the derivative of the derivative.
- For \( f(x) = x^4 + 3x^2 - 2x + 4 \), the second derivative is \( f''(x) = 12x^2 + 6 \).
- This derivative is useful in determining how the slope of the original function's tangent line changes.
- We check \( f''(-1.11) \), \( f''(0.21) \), and \( f''(1.11) \), all yielding positive values, which indicates concavity upwards.
Concavity
Concavity describes how a graph curves and is determined by the second derivative. If the second derivative is positive, the curve is concave up, like a cup that can hold water. If negative, it's concave down, like an upside-down cup.
- For our function, the second derivative is \( f''(x) = 12x^2 + 6 \).
- Since \( 12x^2 + 6 > 0 \) for any real \( x \), the function is always concave up for all values of \( x \).
- Helps in identifying the nature of critical points, confirming that they are local minima in this circumstance.
- Assists in visualizing how the graph behaves in different intervals, providing a more intuitive understanding of the function's behavior overall.
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