Second Derivative Test - Calculus 1

  1. Let ff and gg be twice-differentiable functions. Suppose g(1)=2g(1)=2, g′(1)=0g'(1)=0, and g′′(1)=3g''(1)=3. Also, f′(2)=−4f'(2)=-4. Let h(x)=f(g(x))h(x) = f(g(x)). Use the Second Derivative Test to classify the point x=1x=1 for the function h(x)h(x).
    Answer: hh has a local maximum at x=1x=1. First, determine if x=1x=1 is a critical point for h(x)h(x). Using the chain rule, h′(x)=f′(g(x))g′(x)h'(x) = f'(g(x))g'(x). At x=1x=1, h′(1)=f′(g(1))g′(1)=f′(2)⋅0=0h'(1) = f'(g(1))g'(1) = f'(2) \cdot 0 = 0. Since h′(1)=0h'(1)=0, x=1x=1 is a critical point. Next, find the second derivative of h(x)h(x) using the product rule and chain rule: h′′(x)=f′′(g(x))[g′(x)]2+f′(g(x))g′′(x)h''(x) = f''(g(x))[g'(x)]^2 + f'(g(x))g''(x). Now evaluate at x=1x=1: h′′(1)=f′′(g(1))[g′(1)]2+f′(g(1))g′′(1)=f′′(2)[0]2+f′(2)(3)=0+(−4)(3)=−12h''(1) = f''(g(1))[g'(1)]^2 + f'(g(1))g''(1) = f''(2)[0]^2 + f'(2)(3) = 0 + (-4)(3) = -12. Since h′′(1)=−12<0h''(1) = -12 < 0, the Second Derivative Test indicates that h(x)h(x) has a local maximum at x=1x=1.
  2. In which step does the student's first error appear?
    Answer: Step 5 Let's check each step. Step 1 correctly applies the product rule. Step 2 correctly solves for the critical point. Step 3 correctly finds the second derivative. Step 4 correctly evaluates the second derivative at the critical point. Step 5 correctly identifies that f′′(0)<0f''(0) < 0, but draws the wrong conclusion. The condition f′(c)=0f'(c)=0 and f′′(c)<0f''(c)<0 implies that the function is concave down at the critical point, which corresponds to a local maximum, not a local minimum. The first error is in the final conclusion drawn from the results of the test.
  3. Suppose f′(c)=0f'(c)=0 for a twice-differentiable function ff. Which of the following conditions is sufficient to conclude that ff has a local minimum at x=cx=c?
    Answer: f′′(c)>0f''(c) > 0. The Second Derivative Test states that if f′(c)=0f'(c)=0 and f′′(c)>0f''(c)>0, then ff has a local minimum at x=cx=c. Choice D is the precise statement of this test. Choice A is a stronger condition than necessary; we only need to know the sign of f′′(c)f''(c) at the point cc itself. Choice B is incorrect because if f′′(c)=0f''(c)=0, the test is inconclusive. Choice C describes a condition for an inflection point where the function is increasing, not a local minimum (this is related to the Higher-Order Derivative Test, but the conclusion is for an inflection point).
  4. Let f(x)f(x) be a function such that f′(3)=0f'(3)=0 and f′′(3)=4f''(3)=4. If g(x)=ln⁡(f(x))g(x) = \ln(f(x)) and f(3)=e2f(3)=e^2, what does the Second Derivative Test reveal about the function gg at x=3x=3?
    Answer: gg has a local minimum at x=3x=3. First, we check if x=3x=3 is a critical point for g(x)g(x). Using the chain rule, g′(x)=f′(x)f(x)g'(x) = \frac{f'(x)}{f(x)}. At x=3x=3, g′(3)=f′(3)f(3)=0e2=0g'(3) = \frac{f'(3)}{f(3)} = \frac{0}{e^2} = 0. So, x=3x=3 is a critical point. Next, we find the second derivative of g(x)g(x) using the quotient rule: g′′(x)=f′′(x)f(x)−f′(x)f′(x)[f(x)]2g''(x) = \frac{f''(x)f(x) - f'(x)f'(x)}{[f(x)]^2}. Now we evaluate g′′(3)g''(3): g′′(3)=f′′(3)f(3)−[f′(3)]2[f(3)]2=(4)(e2)−(0)2[e2]2=4e2e4=4e2g''(3) = \frac{f''(3)f(3) - [f'(3)]^2}{[f(3)]^2} = \frac{(4)(e^2) - (0)^2}{[e^2]^2} = \frac{4e^2}{e^4} = \frac{4}{e^2}. Since e>0e>0, e2>0e^2>0, so g′′(3)=4/e2>0g''(3) = 4/e^2 > 0. Because g′(3)=0g'(3)=0 and g′′(3)>0g''(3)>0, the Second Derivative Test shows that g(x)g(x) has a local minimum at x=3x=3.
  5. Let f(x)=−x3+kx2−10f(x) = -x^3 + kx^2 - 10 for some constant kk. If ff has a local maximum at x=2x=2, what is the value of kk?
    Answer: k=3k = 3 For ff to have a local maximum at x=2x=2, two conditions must be met: f′(2)=0f'(2)=0 and f′′(2)<0f''(2)<0. First, find the derivative: f′(x)=−3x2+2kxf'(x) = -3x^2 + 2kx. Set f′(2)=0f'(2)=0: −3(2)2+2k(2)=0  ⟹  −12+4k=0  ⟹  k=3-3(2)^2 + 2k(2) = 0 \implies -12 + 4k = 0 \implies k=3. Now, we must verify this value of kk satisfies the second condition. The second derivative is f′′(x)=−6x+2kf''(x) = -6x + 2k. With k=3k=3, this becomes f′′(x)=−6x+6f''(x) = -6x+6. Evaluating at x=2x=2: f′′(2)=−6(2)+6=−12+6=−6f''(2) = -6(2)+6 = -12+6 = -6. Since f′′(2)=−6<0f''(2) = -6 < 0, the function is concave down at the critical point, confirming a local maximum. Thus, k=3k=3 is the correct value.
  6. Consider the function f(x)=(x−3)4+5f(x) = (x-3)^4 + 5. When using the Second Derivative Test to analyze the critical point at x=3x=3, what is the conclusion?
    Answer: The test is inconclusive for the critical point at x=3x=3. The Second Derivative Test requires evaluating the second derivative at a critical point. First, find the critical points by setting the first derivative to zero. f′(x)=4(x−3)3f'(x) = 4(x-3)^3. Setting f′(x)=0f'(x)=0 gives x=3x=3. Next, find the second derivative: f′′(x)=12(x−3)2f''(x) = 12(x-3)^2. Now, evaluate the second derivative at the critical point: f′′(3)=12(3−3)2=0f''(3) = 12(3-3)^2 = 0. When the second derivative is zero at a critical point, the Second Derivative Test is inconclusive. It does not provide information about whether the point is a maximum, minimum, or neither. While further analysis with the First Derivative Test would show x=3x=3 is a local minimum, the question specifically asks for the conclusion from the Second Derivative Test itself.
  7. Consider the function f(x)=x2−8x+3f(x) = \frac{x^2 - 8}{x+3}. The function has a local maximum at which value of xx?
    Answer: x=−4x=-4 First, find the critical points using the quotient rule for f′(x)f'(x). f′(x)=2x(x+3)−(x2−8)(1)(x+3)2=2x2+6x−x2+8(x+3)2=x2+6x+8(x+3)2=(x+4)(x+2)(x+3)2f'(x) = \frac{2x(x+3) - (x^2-8)(1)}{(x+3)^2} = \frac{2x^2+6x-x^2+8}{(x+3)^2} = \frac{x^2+6x+8}{(x+3)^2} = \frac{(x+4)(x+2)}{(x+3)^2}. Setting f′(x)=0f'(x)=0 gives critical points at x=−4x=-4 and x=−2x=-2. (Note x=−3x=-3 is a vertical asymptote). Next, find f′′(x)f''(x). The numerator of f′(x)f'(x) is N(x)=x2+6x+8N(x)=x^2+6x+8 and the denominator is D(x)=(x+3)2D(x)=(x+3)^2. Instead of a full quotient rule, it's easier to find the derivative of the simplified f′(x)f'(x)'s numerator for the sign of f′′(x)f''(x) at critical points, but the formal second derivative is f′′(x)=(2x+6)(x+3)2−(x2+6x+8)⋅2(x+3)(x+3)4=(2x+6)(x+3)−2(x2+6x+8)(x+3)3=2x2+12x+18−2x2−12x−16(x+3)3=2(x+3)3f''(x) = \frac{(2x+6)(x+3)^2 - (x^2+6x+8) \cdot 2(x+3)}{(x+3)^4} = \frac{(2x+6)(x+3) - 2(x^2+6x+8)}{(x+3)^3} = \frac{2x^2+12x+18 - 2x^2-12x-16}{(x+3)^3} = \frac{2}{(x+3)^3}. Test the critical points: f′′(−4)=2(−4+3)3=−2<0f''(-4) = \frac{2}{(-4+3)^3} = -2 < 0. This indicates a local maximum. f′′(−2)=2(−2+3)3=2>0f''(-2) = \frac{2}{(-2+3)^3} = 2 > 0. This indicates a local minimum. Therefore, the local maximum is at x=−4x=-4.
  8. Let f(x)=14x4−x3−2x2+5f(x) = \frac{1}{4}x^4 - x^3 - 2x^2 + 5. At which of its critical points does ff have a local maximum?
    Answer: x=0x = 0 First, find the critical points by setting the first derivative equal to zero. f′(x)=x3−3x2−4x=x(x2−3x−4)=x(x−4)(x+1)f'(x) = x^3 - 3x^2 - 4x = x(x^2 - 3x - 4) = x(x-4)(x+1). The critical points are x=−1x=-1, x=0x=0, and x=4x=4. Next, find the second derivative to classify these points: f′′(x)=3x2−6x−4f''(x) = 3x^2 - 6x - 4. Now, evaluate f′′(x)f''(x) at each critical point: At x=−1x=-1: f′′(−1)=3(−1)2−6(−1)−4=3+6−4=5>0f''(-1) = 3(-1)^2 - 6(-1) - 4 = 3+6-4 = 5 > 0. This is a local minimum. At x=0x=0: f′′(0)=3(0)2−6(0)−4=−4<0f''(0) = 3(0)^2 - 6(0) - 4 = -4 < 0. This is a local maximum. At x=4x=4: f′′(4)=3(4)2−6(4)−4=48−24−4=20>0f''(4) = 3(4)^2 - 6(4) - 4 = 48-24-4 = 20 > 0. This is a local minimum. Therefore, the function has a local maximum only at x=0x=0.
  9. The function f(x)=x−2cos⁡(x)f(x) = x - 2\cos(x) has a local maximum on the interval (0,2π)(0, 2\pi) at which of the following xx-values?
    Answer: x=7π/6x = 7\pi/6 First, find the critical points by setting f′(x)=0f'(x)=0. The derivative is f′(x)=1+2sin⁡(x)f'(x) = 1 + 2\sin(x). Setting this to zero gives 1+2sin⁡(x)=01+2\sin(x)=0, or sin⁡(x)=−1/2\sin(x) = -1/2. In the interval (0,2π)(0, 2\pi), the solutions are x=7π/6x=7\pi/6 and x=11π/6x=11\pi/6. Next, use the Second Derivative Test to classify these points. The second derivative is f′′(x)=2cos⁡(x)f''(x) = 2\cos(x). Evaluate f′′(x)f''(x) at each critical point. At x=7π/6x=7\pi/6, f′′(7π/6)=2cos⁡(7π/6)=2(−3/2)=−3<0f''(7\pi/6) = 2\cos(7\pi/6) = 2(-\sqrt{3}/2) = -\sqrt{3} < 0, which indicates a local maximum. At x=11π/6x=11\pi/6, f′′(11π/6)=2cos⁡(11π/6)=2(3/2)=3>0f''(11\pi/6) = 2\cos(11\pi/6) = 2(\sqrt{3}/2) = \sqrt{3} > 0, which indicates a local minimum. Therefore, the local maximum occurs at x=7π/6x=7\pi/6.
  10. A function f(x)f(x) is twice differentiable and has a critical point at x=2x=2. If the second derivative is given by f′′(x)=ln⁡(x2−2x+2)f''(x) = \ln(x^2 - 2x + 2), what does the Second Derivative Test imply about the point x=2x=2?
    Answer: ff has a local minimum at x=2x=2. We are given that x=2x=2 is a critical point, so we know f′(2)=0f'(2)=0. To use the Second Derivative Test, we must evaluate the sign of f′′(2)f''(2). Plugging x=2x=2 into the expression for the second derivative gives: f′′(2)=ln⁡(22−2(2)+2)=ln⁡(4−4+2)=ln⁡(2)f''(2) = \ln(2^2 - 2(2) + 2) = \ln(4 - 4 + 2) = \ln(2). Since e0=1e^0=1 and e1≈2.718e^1\approx2.718, we know that 0<ln⁡(2)<10 < \ln(2) < 1. Because f′′(2)=ln⁡(2)f''(2) = \ln(2) is a positive number, the function is concave up at the critical point x=2x=2. Therefore, the Second Derivative Test implies that ff has a local minimum at x=2x=2.
  11. Let f(x)f(x) be a twice-differentiable function with critical points at x=2x=2 and x=6x=6. The graph of its second derivative, f′′(x)f''(x), is a parabola opening downward with roots at x=1x=1 and x=7x=7. Which of the following statements must be true?
    Answer: ff has local minima at both x=2x=2 and x=6x=6. The graph of f′′(x)f''(x) is a downward-opening parabola with roots at x=1x=1 and x=7x=7. This means f′′(x)f''(x) is positive for xx between 1 and 7, and negative otherwise. We need to classify the critical points x=2x=2 and x=6x=6. Both of these points lie in the interval (1,7)(1, 7). For any xx in (1,7)(1, 7), the value of f′′(x)f''(x) is positive. Therefore, f′′(2)>0f''(2) > 0 and f′′(6)>0f''(6) > 0. According to the Second Derivative Test, if f′(c)=0f'(c)=0 and f′′(c)>0f''(c)>0, then ff has a local minimum at x=cx=c. Since this condition holds for both x=2x=2 and x=6x=6, the function ff must have local minima at both points.

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