20. Related Rates
Adapted from: Classical single-variable calculus (time rates linked by a geometric or algebraic equation). Rewritten for teaching — not a verbatim textbook dump.
If a quantity depends on time , its rate of change is . When several time-dependent quantities are tied together by an equation, differentiate that equation with respect to to relate their rates.
The method
- Draw a figure; introduce variables for every quantity that changes with time.
- Write an equation that relates those variables (geometry, similar triangles, volume formulas, …).
- Identify which rates are known and which rate is asked for.
- Differentiate both sides with respect to (Chain Rule). Constants stay constant.
- Then plug in the values at the specific instant of interest; solve for the unknown rate.
- Interpret the sign (e.g. negative may mean “sliding down”).
Substitute numerical values after differentiating, unless a quantity is truly constant for all (like a fixed ladder length).
Example 20.1 — Sliding ladder
A -foot ladder leans against a vertical wall. The bottom slides away from the wall at ft/s. How fast is the top sliding down when the bottom is ft from the wall?
Let = distance of the bottom from the wall, = height of the top. Given ; find when .
Pythagoras:
Differentiate in :
At : ⇒ (positive height). With :
So the top is sliding down at ft/s.
Check: ladder
Sliding ladder
1 / 2From x² + y² = 625, differentiating in t gives…
Pick an answer to see if you are right.
Hands On: Compute dy/dt
- Related rates: one equation among time-varying quantities → differentiate in → solve for the unknown rate
- Plug the specific instant after differentiating
- Sign of the rate answers “up or down / in or out”
- Ladder model: ⇒
Further Reading
- 19. Rectilinear & Circular Motion — as a rate
- 19b. Motion — Practice — prior drills
- 17. Differentiation of Trig Functions — trig related rates (angles)
- 16. Review of Trigonometry — right triangles
- 20b. Related Rates — Practice — balloons, funnels, ships, shadows
- 21. Differentials · Newton's Method — linear approx and Newton