Putting the derivative to work: shape of graphs, optimization, and L'Hôpital's rule for the indeterminate limits the algebra of limits can't reach.
A huge share of real problems are "find the best" — biggest, cheapest, fastest. Derivatives locate those optima. L'Hôpital's rule rescues limits that collapse to the meaningless $0/0$.
Optimization is the engine of operations research, logistics, engineering design, and machine learning (training a model is minimizing a loss function). The same calculus that sketches a curve also routes delivery trucks and tunes models.
"L'Hôpital's rule" was not his. Johann Bernoulli discovered it, and the Marquis de l'Hôpital paid for the right to publish it under his own name in 1696 — one of mathematics' most famous misattributions, now impossible to undo.
This unit is where calculus becomes a practical tool. The hard part is often not differentiating; it is translating the problem into a one-variable function with a justified domain.
L'Hôpital's rule is powerful because it converts a limit of function values into a limit of rates of change. It is also easy to misuse. Before applying it, confirm the expression is a quotient and that the quotient has form $0/0$ or $\infty/\infty$.
On an interval: $f'>0\Rightarrow$ increasing, $f'<0\Rightarrow$ decreasing. $f''>0\Rightarrow$ concave up, $f''<0\Rightarrow$ concave down. An inflection point is where concavity changes.
The first derivative test classifies a critical point by the sign change of $f'$; the second derivative test uses $f''(c)$: positive means local min, negative means local max.
A reliable routine: domain → intercepts and symmetry → asymptotes → $f'$ for increase/decrease and extrema → $f''$ for concavity and inflections → plot.
For $f(x)=\dfrac{x}{1+x^2}$: $f'(x)=\dfrac{1-x^2}{(1+x^2)^2}$, so $f$ increases on $(-1,1)$ and decreases outside; max at $x=1$, min at $x=-1$; horizontal asymptote $y=0$.
A continuous $f$ on $[a,b]$ attains its extremes at critical points or endpoints. Evaluate $f$ at all of them and compare.
Maximize the area of a rectangle with perimeter $20$.
Suppose $f$ and $g$ are differentiable on a punctured interval near the limit point, $g'(x)\ne0$ there, and $f,g$ both tend to $0$ or both diverge in magnitude. If $\lim\frac{f'}{g'}=L$ exists (possibly infinite), then, under these hypotheses, $\lim\frac{f}{g}=L$.
$\displaystyle\lim_{x\to1}\frac{\ln x}{x-1}\overset{\frac00}{=} \lim_{x\to1}\frac{1/x}{1}=1.$ And $\displaystyle\lim_{x\to\infty} \frac{\ln x}{x}\overset{\frac{\infty}{\infty}}{=}\lim_{x\to\infty} \frac{1/x}{1}=0.$
$\lim_{x\to\infty}f(x)=L$ gives a horizontal asymptote $y=L$. For rational functions, compare leading degrees. Vertical asymptotes occur where the function blows up (often a zero denominator with nonzero numerator).
• L'Hôpital applies only to $\tfrac00$ and $\tfrac{\infty}{\infty}$. Rewrite
other forms ($0\cdot\infty$, $\infty-\infty$, $1^\infty$) first.
• Don't differentiate the quotient with the quotient rule — differentiate top
and bottom separately.
• Always justify a max/min (endpoints, sign of $f'$ or $f''$), don't just find a
critical point.
Problems adapted from the MAT137 question bank by Alfonso Gracia-Saz, used under CC BY-SA 4.0. Write full solutions before opening the answer.
Find the absolute max and min of $f(x)=x^3-3x$ on $[-2,2]$.
Evaluate $\lim_{x\to0}\dfrac{e^x-1-x}{x^2}$.
A box with square base and no top has volume $32$. Minimize its surface area.
Evaluate $\lim_{x\to0^+}x\ln x$.
A pebble drops into a lake, making a circular ripple. When the radius is $2$ m and growing at $10$ cm/s, how fast is the enclosed area growing?
A $10$ m ladder leans on a wall and slides. When the top is $8$ m up and dropping at $1$ m/s, how fast is the foot sliding out?
A farmer has $300$ m of fence for a rectangular field plus one fence dividing it equally down the middle. What is the largest possible area?
Evaluate $\lim_{x\to\infty}x^{1/x}$.
Course coverage. This unit is part of the complete MAT137 topic map. It should cover the following items before you move on:
Use the Alfonso Gracia-Saz MAT137 materials as the primary local spine, with the current UofT single-variable calculus topic split as the completeness check. The added items are original study prompts, not copied textbook exercises.
The spine is: derivative signs locate monotonicity, second derivatives locate curvature, and limits describe endpoint or asymptotic behavior.
Use these after the main practice set. They are designed to force definition-level reasoning, theorem selection, and mixed application rather than routine calculation only.
A rectangle has perimeter $20$. Maximize its area.
Evaluate $\lim_{x\to0}\sin x/x$ and say whether LHopital is legally applicable.
Find intervals of concavity for $f(x)=x^4-2x^2$.
Give an example where a critical point is not a local maximum or minimum.