Worked examples — Curve sketching — systematic approach
This page assumes the tools of the parent: First derivative and monotonicity, the Second derivative test, Rational functions and asymptotes, Limits and continuity, and Optimization. We link them where they are used.
The scenario matrix
Every curve-sketching problem is a combination of the following case classes. Each row is a distinct behaviour you must be able to handle; each is covered by at least one worked example below.
| # | Case class | What is special about it | Covered by |
|---|---|---|---|
| A | Polynomial, two turning points | changes sign twice; ends run to | Ex 1 |
| B | Degenerate critical point (flat inflection) | but no extremum | Ex 2 |
| C | Rational, horizontal asymptote | denominator degree numerator degree | Ex 3 |
| D | Rational, vertical asymptotes both signs | one side, the other | Ex 3 |
| E | Rational, oblique/slant asymptote | numerator degree denominator degree | Ex 4 |
| F | Even vs odd symmetry | halve the work by reflection | Ex 1 (odd), Ex 3 (even) |
| G | Crosses its own horizontal asymptote | asymptote governs infinity, not everywhere | Ex 5 |
| H | Zero / degenerate input (limit form ) | removable hole vs genuine blow-up | Ex 6 |
| I | Real-world word problem (optimization flavour) | curve shape answers a physical question | Ex 7 |
| J | Exam twist — parameter in the function | behaviour depends on a constant's sign | Ex 8 |
We now walk each example, labelled with the cell(s) it hits.
Example 1 — Polynomial, two turning points, odd symmetry · cells A, F
Step 1 — Domain & symmetry. is a polynomial, so it is defined for all real . Check symmetry: So is odd — symmetric about the origin. Why this step? Odd symmetry means once we know the right half, the left half is a rotation — First derivative and monotonicity work is halved.
Step 2 — Intercepts. ; and gives . Why this step? The zeros anchor where the S-curve crosses the axis.
Step 3 — First derivative. Set : . Sign of : outside we have so (rising); inside, (falling). So is a change → local max; is → local min. Heights: , and by oddness . Why this step? The sign of is the monotonicity engine; its zeros are the turning candidates.
Step 4 — Second derivative. for (concave down, a frown), for (concave up, a smile), switching at → inflection at . Why this step? The Second derivative test confirms the max/min ( ✓ max, ✓ min) and locates the bend switch.
Figure below — what to observe. The burnt-orange S-curve climbs from the lower left, reaches the teal peak at , falls through the ink inflection square at the origin where it briefly straightens, bottoms out at the plum valley , then climbs again. Notice the picture is a rotation about the origin — that is oddness made visible.

Verify: compute directly: ✓; ✓; (max) ✓; (min) ✓; (inflection height) ✓. (Machine-checked below.)
Example 2 — Degenerate critical point (flat inflection) · cell B
Step 1 — First derivative and its sign. This is everywhere, equal to only at . So does not change sign at — it is on both sides. Why this step? The First Derivative Test says an extremum needs a sign change. No change ⇒ no max, no min.
Step 2 — Second derivative. which changes sign at . So is an inflection point — but with a horizontal tangent. This is a flat (stationary) inflection. Why this step? It shows the parent's mistake-callout in action: alone does not guarantee an extremum.
Verify: and (same sign both sides ⇒ no extremum); and (concavity flips ⇒ inflection). (Machine-checked below.)
Example 3 — Rational with horizontal wall & twin vertical walls, even · cells C, D, F
Step 1 — Domain & symmetry. at , so domain is . And → even, mirror over the -axis. Why this step? Even symmetry lets us study and reflect.
Step 2 — Asymptotes (the limits made explicit). Vertical: as , denominator , numerator , so ; as , denominator , so . (By evenness the walls at mirror this.) Horizontal: divide top and bottom by : Why this step? Asymptotes are the skeleton the curve drapes over; the sided limits tell us which way the curve escapes each wall.
Step 3 — First derivative (quotient rule). Denominator is a square, always . So has the sign of : positive for , negative for → local max at . Why this step? Sign of gives climb/fall; only critical point in the domain is .
Step 4 — Value regions. For : so (curve sits below the -axis, peaking at the origin). For : (above the ceiling). Second derivative is when (concave up) and when (concave down); no inflection since the sign only flips across the forbidden . Why this step? Locates the curve relative to its asymptotes in each region.
Figure below — what to observe. The two plum dashed verticals at are the walls; the teal dashed horizontal at is the ceiling. In the middle strip the orange curve makes a low hump peaking at the ink dot and dives to as it nears each wall. Outside the walls the two orange branches sit above and sweep down toward it far out. The whole picture is mirror-symmetric across the -axis — that is evenness.

Verify: ; ; (concave down ⇒ max); ; . (Machine-checked below.)
Example 4 — Rational with an oblique (slant) asymptote · cell E
Step 1 — Long division to reveal the line. As , the term , so the curve hugs the line . That line is the oblique asymptote. Why this step? Polynomial division separates the "line part" from a remainder that vanishes at infinity — exactly the parent's oblique-asymptote recipe. Cross-check with the formula, being careful to state which direction of infinity each limit uses: The same two limits taken as give the identical , so the single line is the asymptote on both ends.
Step 2 — Vertical asymptote & domain. Domain . As , ; as , . So is a two-signed vertical wall. Why this step? Denominator zero with non-zero numerator ⇒ genuine blow-up.
Step 3 — Symmetry & first derivative (full monotonicity). → odd. The denominator always, so the sign of is the sign of . Walk all four intervals split by the critical points and the wall :
- : ⇒ → increasing.
- : ⇒ → decreasing.
- : ⇒ → decreasing.
- : ⇒ → increasing.
So on the left branch the curve rises to then falls into the wall, giving a local max at ; on the right branch it falls from the wall to then rises, giving a local min at . Why this step? The interval-by-interval sign of is the full monotonicity picture, and the / changes pin the extrema.
Step 4 — Second derivative (concavity, all cases). The sign of is just the sign of :
- : → concave up (the right branch cups upward, sitting above the slant line ).
- : → concave down (the left branch caps downward, sitting below ).
There is no inflection point: only changes sign across the forbidden , not at any point of the domain. Concavity confirms the extrema too — (min ✓), (max ✓). Why this step? The Second derivative test rounds out the bending and rules out a hidden inflection.
Figure below — what to observe. The teal dashed line runs corner to corner; the two burnt-orange branches lie one on each side of the plum vertical wall . The right branch dips to the plum minimum just above the slant line (concave up), the left branch rises to the teal maximum just below it (concave down). Each branch flattens toward far from the origin — that is the curve "hugging" its slant asymptote.

Verify: slant slope , intercept ; , ; (min), (max); changes at and at . (Machine-checked below.)
Example 5 — A curve that crosses its horizontal asymptote · cell G
Step 1 — Horizontal asymptote. Why this step? Degree of top degree of bottom ⇒ the curve flattens to the -axis at infinity.
Step 2 — Crossing point. Set : . The curve passes through the origin — which lies on . So it crosses its own asymptote at . Why this step? The asymptote is an end-behaviour statement, not a barrier; solving locates any crossing.
Step 3 — Turning points (bounded bump). (max), (min). The curve rises from the origin to a gentle peak at , then falls back toward . Why this step? Confirms the shape: two humps straddling a crossing at the origin.
Figure below — what to observe. The teal dashed line is the horizontal asymptote, and the burnt-orange curve crosses right through it at the ink square on the origin — an asymptote is not a fence. The curve rises to the plum maximum , then eases back down toward the axis; by oddness it mirrors to the plum minimum on the left. Far out in either direction it settles onto from above (right) and below (left).

Verify: ; (on the asymptote); , . (Machine-checked below.)
Example 6 — Degenerate input: removable hole vs blow-up · cell H
Step 1 — Test for a removable hole. Plugging gives — an indeterminate form, not automatically . Factor: The cancels, so is just the line with a hole punched out at (the value would have been ). Why this step? Limits distinguish a that simplifies (removable) from a (true pole).
Step 2 — Test for a pole (both one-sided limits). At , with non-zero numerator, so it cannot cancel. Take each side separately:
- As , the denominator (small positive), so .
- As , the denominator (small negative), so .
Because the two one-sided limits run off to opposite infinities, is a genuine two-sided vertical asymptote — the curve shoots up on the right of the wall and down on the left. Why this step? Non-zero over zero can never be removed; the sign of the tiny denominator on each side fixes which infinity the branch chases.
Verify: (finite ⇒ removable hole; undefined at but the limit exists). For : , (two-signed pole). (Machine-checked below.)
Example 7 — Word problem: the shape of a cost-per-unit curve · cell I
Step 1 — Simplify (spot the slant asymptote in disguise). For large , (rising line); for small , the term dominates and . A minimum must sit between. Why this step? This is Example 4's structure applied to a real curve; the slant tells the large-scale trend. This is exactly the kind of "find the lowest point" question studied in Optimization.
Step 2 — Minimise with the first derivative. Check it is a minimum: for → concave up → minimum. Why this step? Optimization: the lowest point of a smooth positive curve is where slope and .
Step 3 — Minimum value. Why this step? Answers the physical question: making (hundred) items gives the cheapest average cost, $40 each.
Verify: critical (positive root of ); dollars/item; (concave up ⇒ minimum). Units: dollars per item, consistent throughout. (Machine-checked below.)
Example 8 — Exam twist: behaviour depends on a parameter · cell J
Step 1 — Differentiate and locate critical points. Solve . Why this step? Turning points exist only where has real solutions. Whether has real roots depends entirely on the sign of the right-hand side.
Step 2 — Case split on the sign of (all three regimes).
- : then , so are two distinct real critical points — a local max and a local min: an S-curve with a genuine wiggle. Example recovers from Example 1, with roots at . Two turning points.
- : then , zero only at and with no sign change — this is the flat (stationary) inflection of Example 2. Zero turning points.
- : then , so has no real solution; in fact everywhere, so the curve is strictly increasing with no flat spot at all. Zero turning points.
Why this step? The single quantity (positive, zero, or negative) is the hinge; the three bullets exhaust every possible value of the parameter.
Step 3 — Concluding summary.
| Sign of | Real roots of | Turning points | Shape |
|---|---|---|---|
| two () | 2 (max & min) | wiggling S | |
| one (), no sign change | 0 | flat inflection cubic | |
| none | 0 | strictly increasing |
So the cubic has a genuine "hill and valley" only when ; at and for all it climbs monotonically. The transition value is . Why this step? Gives the reader the one-line rule to quote in an exam: "two turning points iff ."
Verify: gives critical points (two real); gives only with (no sign change, zero turning points); gives everywhere (no real critical points). (Machine-checked below.)
Recall Self-test across the matrix
Match each curve to its defining feature (answers below). ::: two turning points, odd (cell A/F) ::: flat inflection, no extremum (cell B) ::: horizontal + twin vertical asymptotes, even (C/D/F) ::: oblique asymptote (cell E) ::: crosses its horizontal asymptote at the origin (cell G) ::: removable hole at , not a pole (cell H)
Connections
- Curve sketching — systematic approach — the parent checklist these examples exercise.
- First derivative and monotonicity — turning points and climb/fall in Ex 1, 2, 4, 5, 8.
- Second derivative test — confirming max vs min in Ex 1, 3, 4, 7.
- Rational functions and asymptotes — horizontal, vertical and oblique walls in Ex 3, 4, 5.
- Limits and continuity — hole vs blow-up in Ex 6.
- Optimization — the average-cost minimum in Ex 7.
- Mean Value Theorem — the theoretical reason the sign of dictates the trend.