Exam Cram Sheet685 words

Exam Cram: Application of Derivatives

Application of Derivatives

Exam Cram: Application of Derivatives

This guide focuses on the practical application of the derivative to analyze function behavior, solve real-world optimization problems, and relate rates of change across multiple variables.


Topic Weighting

TopicEstimated Exam WeightPriority
Optimization & Related Rates35%Critical
Function Analysis (1st & 2nd Deriv Tests)30%High
Mean Value Theorem & Rolle's Theorem15%Medium
Linear Approximation & Differentials10%Medium
L'Hôpital's Rule10%Low/Medium

Key Concepts Summary

  • Critical Points: Occur where f(c)=0f'(c) = 0 or $f'(c) is undefined. These are the only candidates for local extrema.
  • The Extreme Value Theorem (EVT): If f is continuous on a closed interval [a, b], it must have an absolute maximum and minimum. Check critical points AND endpoints.
  • First Derivative Test:
    • f'(x)changesfromchanges from+toto- \rightarrow$ Local Max.
    • f(x)f'(x) changes from - to ++ $\rightarrow Local Min.
  • Concavity & Points of Inflection:
    • f''(x) > 0 \rightarrow Concave Up (CCU).
    • f''(x) < 0 \rightarrow Concave Down (CCD).
    • Inflection Point: Where f''(x) changes sign.
  • Related Rates: Differentiating equations with respect to time (t) using the Chain Rule (e.g., \frac{dV}{dt} = 4\pi r^2 \frac{dr}{dt}).
  • L'Hôpital's Rule: Used for indeterminate limits \frac{0}{0}oror\frac{\infty}{\infty}.. \lim_{x\to c} \frac{f(x)}{g(x)} = \lim_{x\to c} \frac{f'(x)}{g'(x)}$.
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Common Pitfalls

[!WARNING] Don't Forget the Endpoints! When finding absolute extrema on [a,b],studentsoftenfindcriticalpointsbutforgettotestf(a)[a, b], students often find critical points but forget to test f(a) and $f(b).

  • **Confusion between f'(x)andandf''(x)::** f'(x) = 0 does NOT guarantee a max/min (it could be a terrace point like y=x^3atatx=0). Always check for a sign change.
  • Implicit Differentiation Errors: In Related Rates, forgetting to multiply by the "inner" derivative (e.g., writing 2rinsteadofinstead of2r \frac{dr}{dt}).
  • L'Hôpital Abuse: Do not apply L'Hôpital's rule if the limit is not indeterminate. For example, \lim_{x\to 0} \frac{x+1}{x}isnotis not\frac{0}{0}, so L'Hôpital does not apply.
  • Average vs. Instantaneous: Average rate is \frac{f(b)-f(a)}{b-a}. Instantaneous rate is f'(c).

Mnemonics / Memory Triggers

  • The Smiley Face Rule (Concavity):
    • f''(x) > 0(Positive)(Positive)\rightarrowSmile(ConcaveUp**Smile** (Concave Up\cup$)
    • f(x)<0f''(x) < 0 (Negative) \rightarrow Frown (Concave Down $\cap)
  • R.O.C.S. (Related Rates Strategy):
    1. Read the problem.
    2. Outline (Draw a diagram/variables).
    3. Construct the equation.
    4. Solve (Differentiate with respect to t).

Formula / Equation Sheet

ConceptFormulaNotes
Linear ApproximationL(x) = f(a) + f'(a)(x - a)Tangent line used as an estimate
Mean Value Theoremf'(c) = \frac{f(b) - f(a)}{b - a}$Guaranteed cc in (a,b)(a, b) if $f is cont./diff.
Amount of Changef(a+h) \approx f(a) + f'(a)hDerivative as an estimator
Sphere Volume/SAV = \frac{4}{3}\pi r^3,, A = 4\pi r^2Common in Related Rates
Marginal CostC'(x)$Derivative of the total cost function
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Visualizing the Mean Value Theorem: The tangent at some point $c is parallel to the secant line.


Practice Set

  1. Optimization: A rectangular garden is to be fenced against a wall. If you have 100m of fencing, find the maximum area. (Hint: A = xy,, 2x + y = 100).
  2. Related Rates: A 10ft ladder leans against a wall. The bottom slides away at 2ft/s. How fast is the top sliding down when the base is 6ft from the wall?
  3. L'Hôpital's Rule: Evaluate \lim_{x\to 0} \frac{\sin(x) - x}{x^3}.
  4. Mean Value Theorem: Given f(x) = x^2onon[0, 2], find the value of c that satisfies the MVT.
  5. Function Analysis: If f'(x) = (x-1)(x-3), identify the intervals of increase/decrease and locate local extrema.
Click for Answers
  1. x=25, y=50,Area=$1250m2, Area = $1250 m^2.
  2. 1.5ft/s-1.5 ft/s (using x2+y2=102x^2 + y^2 = 10^2).
  3. $-1/6 (requires L'Hôpital three times).
  4. c = 1$.
  5. Inc: (,1)(3,)(-\infty, 1) \cup (3, \infty); Dec: (1,3)(1, 3). Local Max at x=1x=1, Local Min at x=3x=3.

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