4.1.23 · D3Calculus I — Limits & Derivatives

Worked examples — Parametric differentiation — dy - dx, d²y - dx²

3,120 words14 min readBack to topic

This page is the exercise gym for parametric differentiation. The parent note built the two formulas; here we drive them through every kind of situation a problem can present — good slopes, vertical tangents, degenerate points, negative signs, a real-world word problem, and an exam twist.

Recall The two tools we keep reusing (from the parent)

First derivative — the speed ratio (vertical speed divided by horizontal speed): Second derivative — quotient rule plus one extra underneath: Here a dot means "rate of change with respect to the parameter ": , , and likewise for . If any of that feels new, re-read the parent — this page uses it, it doesn't re-derive it. The engine underneath is the Chain rule and the Quotient rule. Throughout this page, we call these two displayed equations the first-derivative formula and the second-derivative formula.


The scenario matrix

Every parametric-differentiation problem falls into one of these cells. Our worked examples below are labelled with the cell they hit, so by the end no cell is empty.

# Cell (case class) What makes it tricky Example
A Plain "nice" point, none — warm-up Ex 1
B vertical tangent slope undefined, not an error Ex 2
C horizontal tangent slope exactly Ex 3
D Sign of concavity up vs down, and sign of matters Ex 4
E Degenerate point: (cusp) , need a limit Ex 5
F Real-world word problem (projectile) units, choose the right Ex 6
G Exam twist: find giving a required slope solve backwards Ex 7
H Limiting behaviour as special value asymptotic slope Ex 8

Each cell shows a different way the same two formulas behave. Watch especially the sign of in cells B, D, H — it is the quiet troublemaker.


Cell A — the warm-up (nice point)


Cell B — vertical tangent ()

The figure below shows the unit circle in lavender. The red dashed lines are the vertical tangents at the leftmost and rightmost points, with red arrows pointing straight up to stress that the motion there is purely vertical; the mint dotted lines mark the horizontal tangents (top and bottom) for contrast. As you read Example 2, find the two red points on the picture.

Figure — Parametric differentiation — dy - dx, d²y - dx²
Figure 1 — Unit circle . Red dashed = vertical tangents where (points ); mint dotted = horizontal tangents where (points ).


Cell C — horizontal tangent ()


Cell D — concavity from the sign of


Cell E — degenerate point (cusp, )

The next figure shows the curve . The lavender branch is traced for , the coral branch for ; both meet at the slate dot at the origin, forming a sharp beak (cusp). The mint arrow shows the common horizontal tangent direction. As you read Example 5, notice that although the tangent is horizontal, the two branches leave the origin on the same line — that is what makes it a cusp rather than a smooth minimum.

Figure — Parametric differentiation — dy - dx, d²y - dx²
Figure 2 — The cusp of at the origin. Both branches ( lavender, coral) meet with a horizontal limiting tangent (mint), yet the point is not smooth.


Cell F — real-world word problem (projectile)


Cell G — exam twist (solve backwards for )


Cell H — limiting behaviour of the slope

The final figure shows one arch of the cycloid in lavender, with the cusp at the origin. Three short tangent segments are drawn near the cusp — at (mint), (butter) and (coral). Watch how they get steeper as shrinks toward : this is the visual meaning of the slope running off to in Example 8.

Figure — Parametric differentiation — dy - dx, d²y - dx²
Figure 3 — Cycloid . Tangent segments at steepen toward vertical as the cusp at the origin is approached.


Active recall

Which cell describes a point where but ?
Cell B — a vertical tangent, slope undefined.
Which cell needs a limit rather than a plug-in?
Cell E (cusp, , giving ) — and cell H for limiting slope.
For , what is and ?
and .
At which does have vertical tangents?
(integer ), i.e. points .
At which does have horizontal tangents?
(integer ), i.e. points .
Sign of for the circle on its upper half?
Negative → concave down.
Projectile : when is the path flat?
When , i.e. s (the peak).

Connections

Scenario map

The flowchart below is a decision tree you can walk for any parametric point. Start at the top with your . First ask is zero? If yes, you have a vertical tangent (Cell B). If no, ask is zero? — yes gives a horizontal tangent of slope (Cell C). If neither is zero, ask are they both zero at once? — yes means a cusp needing a limit (Cell E, and its limiting-slope cousin Cell H); no means an ordinary point where you simply compute (Cell A). From that ordinary slope you can then branch to checking concavity (Cell D), interpreting real-world velocities (Cell F), or solving backwards for a required slope (Cell G). In words: zeros first, ordinary slope second, then everything else.

yes

no

yes

no

yes

no

Given x of t and y of t

is xdot zero

Cell B vertical tangent

is ydot zero

Cell C horizontal tangent slope zero

both zero at once

Cell E cusp take a limit

Cell A nice slope ydot over xdot

Cell D check sign of second derivative

Cell F real world velocities

Cell G solve backward for t

Cell H limiting slope as t approaches special value