4.1.23 · D5Calculus I — Limits & Derivatives
Question bank — Parametric differentiation — dy - dx, d²y - dx²
True or false — justify
True or false: The slope of a parametric curve depends on how fast you walk along it.
False. Both and carry a common factor that cancels; the slope is a pure ratio , so doubling your speed changes nothing about the path's steepness.
True or false: If everywhere, the curve can still have a vertical tangent.
False. A vertical tangent needs the run to vanish, i.e. ; if is never zero the tangent is never vertical (though can still give horizontal ones).
True or false: because you "differentiate twice the same way."
False. The second derivative means differentiate with respect to , not ; going back through produces a quotient-rule expression over , not a simple ratio of accelerations.
True or false: The formula has only because of the Quotient rule.
False. The quotient rule gives ; the third power comes from one extra division by in the final step .
True or false: If both and at a point, the curve is smooth there.
False. That is a singular point (a possible cusp or corner, like a Cycloid at its base); the tangent direction is genuinely undefined and gives the indeterminate .
True or false: For , the parametric second derivative reduces to ordinary .
True. Then , so the formula becomes — the parametric machinery correctly reproduces plain calculus.
True or false: The sign of tells you concave up or down regardless of the direction increases.
True. Concavity is a geometric property of the shape in the -plane; reversing flips the sign of both and but leaves the concavity expression unchanged (see the "Why" section below).
True or false: A parametric curve where over some interval must be drawn wrong.
False. just means the point moves leftward there; the curve can double back over the same -values, which is exactly why we use a parameter instead of .
Spot the error
Student writes and stops. What's missing?
They differentiated w.r.t. but never converted back to ; they must still divide by , giving the extra factor that turns into .
Student writes . Why is this upside down?
The variable you solve for (here ) goes on top and the variable you differentiate against () on the bottom; is rise-over-run, and flipping it gives run-over-rise.
Student computes the numerator as . What went wrong?
The two terms are swapped in sign. The Quotient rule on is (bottom · derivative-of-top − top · derivative-of-bottom), i.e. ; reversing it negates the whole second derivative.
Student cancels "because it's small" rather than "because it's a common factor." Fix the reasoning.
Smallness is irrelevant — cancels because it multiplies both and identically, so it divides out algebraically; the cancellation would hold for any nonzero .
Student claims in the denominator can be replaced by "to be safe." Is that right?
No. The sign of genuinely matters — it encodes whether the point moves right or left — and the derivation gives exactly; forcing absolute value would corrupt the sign of the concavity.
Student uses Chain rule as . Spot the error.
The chain rule multiplies, it doesn't add: . Solving that for is exactly what gives the slope formula.
Student says at a horizontal tangent "." Correct them.
A horizontal tangent needs zero rise, i.e. (with ). Zero run is the condition for a vertical tangent — they've swapped the two.
Why questions
Why must and share the same parameter for this method to work?
Because the slope is the ratio of their changes at the same instant; if they were driven by different clocks there'd be no common to cancel and no single moving point to trace the curve.
Why do we need the Quotient rule specifically for the second derivative but not the first?
The first derivative is a single division ; the second requires differentiating that whole fraction w.r.t. , and differentiating a fraction is precisely what the quotient rule is for.
Why is Implicit differentiation a valid alternative when a curve isn't given parametrically?
When there's a relation but no parameter, implicit differentiation gets directly by treating as an unknown function of — it answers the same "slope without " question by a different route.
Why does the condition appear in the first derivative but (same thing) haunt the second?
Both fail exactly where ; the cube just makes the second derivative blow up faster, but the underlying geometry — a vertical tangent has no finite slope to differentiate — is identical.
Why can two very different parametrisations of the same curve give the same at a shared point?
Because slope is an intrinsic property of the curve's shape, not of the parametrisation; reparametrising rescales and by the same chain-rule factor, which cancels in the ratio.
Why is the "cube on the bottom" a reliable fingerprint of a correct second derivative?
Any correct derivation ends with a division by after the quotient rule already produced ; seeing confirms both steps happened, while betrays the forgotten final division.
Edge cases
At a point where but , what does the curve look like and what is ?
A vertical tangent: the run is zero while the rise is nonzero, so is undefined (slope ) — a legitimate feature, not a mistake.
At a point where but , what is the tangent?
A horizontal tangent: , so the curve is momentarily flat, like the top of a circle at in the parent's Example 1.
What happens to and as approaches a value where versus ?
The slope diverges to or depending on the sign of , and the concavity (with underneath) can flip sign across the vertical tangent — a genuine geometric transition, not a discontinuity error.
For the Cycloid , why is the base point () a cusp and not a smooth min?
There both and , so is indeterminate; the point comes momentarily to rest and reverses direction, producing a sharp cusp rather than a rounded valley.
If a curve retraces its steps (same at two different values), can it have two different slopes there?
Yes. A self-intersection can have distinct tangent directions on each pass because is evaluated at each separately — this is precisely a case could never describe.
What is for a straight-line path with constants ?
Zero. Here , so the numerator ; a line has no bending, exactly as concavity zero should say.
Connections
- Chain rule — the reason and the source of the final .
- Quotient rule — differentiates and supplies the .
- Implicit differentiation — the parameter-free alternative referenced above.
- Tangents and normals — where vertical/horizontal tangent edge cases matter.
- Concavity and second derivative — interprets the sign of .
- Cycloid, Parametric curves — the cusp and self-intersection edge cases live here.