📝 Analysis of Functions II (Relative Extrema) in calculus (25 MCQs)
📖 From Calculus • 5. The derivative in Graphing and Applications • 25 questions available
What is Analysis of Functions II (Relative Extrema) in calculus?
Definition:
Relative extrema are local maximums or minimums where is greater or less than nearby values. These occur at critical points where or is undefined, marking peaks and valleys in the function's graph structure.
Example:
For , . Setting gives , a relative minimum since the parabola opens upward.
Reason:
Identifying these points helps sketch accurate graphs and understand optimal values within specific local neighborhoods of the domain.
📝 All Analysis of Functions II (Relative Extrema) in calculus MCQs
Q1. Which of the following best describes a relative maximum of a function at a point ?
📖 Explanation: A relative maximum is a local peak: within some open interval around the function’s value at is not exceeded. This definition captures the “local” nature, unlike a global maximum, and does not require second‑derivative information, which may be inconclusive or unavailable.
Q2. According to the First Derivative Test, what must happen to f'(x) at a point for to have a relative minimum there?
📖 Explanation: The First Derivative Test states that if the derivative switches sign from negative (decreasing function) to positive (increasing function) at a point, the function attains a local low there. The sign change indicates a turning point that is a relative minimum.
Q3. If a differentiable function satisfies f'(c)>0 for all and f'(c)<0 for all , what can be inferred about at ?
📖 Explanation: When the derivative is positive to the left of (function rising) and negative to the right (function falling), the graph climbs up to and then descends, forming a peak. Hence is a relative maximum by the First Derivative Test.
Q4. Which statement correctly compares the information given by f'(c)=0 and f''(c)=0 at a point ?
📖 Explanation: A zero first derivative signals a critical point, which may be a maximum, minimum, or saddle point. A zero second derivative eliminates the simple curvature test, leaving the nature of the critical point undecided; further analysis (e.g., higher‑order derivatives) is required.
Q5. For the function , on which interval is increasing?
📖 Explanation: The derivative g'(x)=3x^2-3=3(x^2-1) is positive when . Hence increases on and . Among the choices, only is listed as an increasing interval.
Q6. A company’s cost function is . Which statement correctly identifies the production level that minimizes cost?
📖 Explanation: Setting C'(x)=10x-40=0 yields . Since the quadratic coefficient is positive, the parabola opens upward, guaranteeing a global minimum at .
Q7. When applying the Second Derivative Test, which condition guarantees a relative minimum at a critical point ?
📖 Explanation: The Second Derivative Test states that if the first derivative vanishes at (making it a critical point) and the second derivative is positive there, the graph is concave upward, indicating a local trough, i.e., a relative minimum.
Q8. A cost function for drilling is , where is distance in kilometers from shore. Which interval contains the distance that yields the lowest cost?
📖 Explanation: Differentiate: C'(d)=4d-12. Setting to zero gives . Since the quadratic opens upward, the minimum occurs at , which lies in the interval .
Q9. Consider . Which of the following statements correctly compares its relative extrema?
📖 Explanation: Compute f'(x)=4x^3-16x=4x(x^2-4). Critical points are . The second derivative f''(x)=12x^2-16 gives f''(0)=-16<0 (maximum) and f''(\pm2)=32>0 (minima). Hence the described pattern holds.
Q10. A particle moves along a line with position . Using calculus, which time interval contains a relative maximum of its speed?
📖 Explanation: Speed is where v(t)=s'(t)=3t^2-12t+9. Critical points of speed occur where or changes sign. Solving gives and . Speed increases on and then decreases, so a relative maximum of speed occurs within that interval.
Q11. For on , which statement correctly describes the use of the Second Derivative Test?
📖 Explanation: Differentiating gives h'(x)=\frac{1}{x}-2x and h''(x)=-\frac{1}{x^2}-2, which is strictly negative for all positive . Thus any critical point where h'(x)=0 must be a relative maximum, because the graph is concave down everywhere.
Q12. Why can a relative extremum occur at a point where the derivative does not exist?
📖 Explanation: A cusp or corner can cause the derivative to be undefined, yet the function may switch from increasing to decreasing (or vice‑versa) at that point. The First Derivative Test relies on sign changes, not on the existence of the derivative itself.
Q13. Let where is a parameter. How does increasing affect the location of the relative extrema?
📖 Explanation: Critical points satisfy f_a'(x)=3x^2-3a=0 → . As grows, the positive root moves right and the negative root moves left, symmetrically about the origin, so the midpoint remains at zero while the distance between them increases.
Q14. For , which interval correctly describes where the function is concave upward?
📖 Explanation: Second derivative: f''(x)=e^{-x^2}(4x^2-2). Concave upward when f''(x)>0 ⇒ ⇒ . Thus for (and similarly ), the function is concave upward; choice C matches the positive side.
Q15. When solving with Newton’s method, why is it advantageous to start at a point near a relative extremum of ?
📖 Explanation: Newton’s iteration uses the tangent line x_{n+1}=x_n-\frac{f(x_n)}{f'(x_n)}. Near a relative extremum, the function’s curvature is small, making the tangent a closer approximation to the function’s shape, which can lead to faster convergence toward a nearby root.
Q16. Which statement correctly distinguishes a global maximum from a relative maximum?
📖 Explanation: A global maximum is the highest value of the function on its entire domain; if it occurs at an interior point, it is also a relative maximum. However, a relative maximum may be merely a local peak that is not the highest overall value.
Q17. Compare the information provided by the First Derivative Test and the Second Derivative Test for a critical point where f'(c)=0 and f''(c)=0.
📖 Explanation: When the second derivative vanishes, the curvature test fails, leaving the Second Derivative Test inconclusive. The First Derivative Test, which examines sign changes of f' around , may still reveal whether the function rises then falls (maximum) or vice‑versa (minimum).
Q18. A manufacturer wants to minimize material cost given the surface area function for a fixed volume . Which sequence of steps correctly applies calculus to find the optimal radius?
📖 Explanation: The procedure follows the standard optimization routine: compute the first derivative, locate critical points by solving S'(r)=0, then apply the Second Derivative Test (or sign analysis) to ensure the critical point yields a minimum of the surface area.
Q19. For the piecewise function , which interval contains a relative maximum?
📖 Explanation: On the function increases as approaches 0, reaching a value of 0. For , decreases from 0 downward. Thus the highest value in any neighborhood occurs at the cusp , but the function does not attain a higher value on either side, so no relative maximum exists.
Q20. Determine all real values of the parameter for which the function has exactly two distinct relative extrema.
📖 Explanation: Critical points satisfy f_k'(x)=3x^2-3k=0 → . Real distinct critical points exist only when . For there is a single critical point at the origin, and for the critical points are imaginary, so exactly two relative extrema occur precisely for positive .
Q21. Explain why the sign of the second derivative f''(c) at a critical point reflects the curvature of the graph and thus indicates a relative extremum.
📖 Explanation: The second derivative quantifies how the slope itself changes. If f''(c)>0, the slope is increasing, meaning the graph bends upward (concave up) and the point resembles the bottom of a valley—a relative minimum. Conversely, f''(c)<0 indicates concave down, forming a peak—a relative maximum.
Q22. Given the implicit relation , find the y‑coordinates of points where the curve has relative extrema with respect to as a function of .
📖 Explanation: Treat as a function of via implicit differentiation: 2x+2y\,y'=0 → y'=-x/y. Critical points occur where y'=0 ⇒ . Substituting into the original equation gives → . However, these correspond to vertical tangents, not extrema of with respect to . The extrema of occur where changes sign, i.e., at .
Q23. A cost function is to be minimized subject to the constraint . Which method correctly yields the optimal solution?
📖 Explanation: Both the Lagrange multiplier technique and substitution reduce the constrained problem to solving for critical points, and each method leads to the same optimal point . Either approach correctly applies calculus to locate the minimum under the linear constraint.
Q24. When combining graphing‑utility output with derivative analysis, how can one verify that a visually identified peak is indeed a relative maximum?
📖 Explanation: A graphing utility may display a peak due to scaling or resolution artifacts. To rigorously confirm a relative maximum, compute the derivative at the reported coordinate; it should be zero (or undefined with a sign change). Then evaluate the second derivative: a negative value confirms concave‑down curvature, solidifying the classification.
Q25. Prove that if is continuous on an interval and f'(c)=0 with f''(c)>0, then is a relative minimum, and discuss whether continuity of is essential for the conclusion.
📖 Explanation: The proof of the Second Derivative Test relies on the Mean Value Theorem, which demands continuity on a closed interval and differentiability on the open interval. If were discontinuous at , the derivative information could be misleading, and the claim that is a relative minimum would not be assured.