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Differentiation · Lesson 6 of 6

Related Rates and Small Changes

15 min read2 ideas6 checks2 figures to playBy Asheshanand Acharya
What you will learn 0 / 2
Related rates of change
Look around
The ladder on the marble floor

A painter in Pune leans a \(5\,\text{m}\) ladder against a smooth wall. On the polished floor its foot begins to slide away from the wall at a steady \(0.8\,\text{m/s}\). At first the top of the ladder creeps down the wall. Then it comes down faster and faster. The foot never changes its speed, so why does the top?

you will find how fast the top of the ladder falls at any instant, and how fast an image moves in a mirror.

Differentiate the relation, not the numbers

Let the foot of the ladder be a distance \(x\) from the wall and the top a height \(y\) up it. Both change with time. But at every instant they are tied by the length of the ladder, because the wall, the floor and the ladder form a right-angled triangle. So \(x^2 + y^2 = 25\) at every instant, with lengths in metres.

An equation that holds at every instant can be differentiated with respect to time. The derivative of the constant 25 is zero. By the chain rule, \(x^2\) changes at the rate \(2x\,dx/dt\), and \(y^2\) at the rate \(2y\,dy/dt\). So \(2x\,\dot x + 2y\,\dot y = 0\), which gives \(\dot y = -x\,\dot x/y\). When the foot is \(3\,\text{m}\) out, the top is \(4\,\text{m}\) up. Then \(\dot y = -3 \times 0.8/4 = -0.6\,\text{m/s}\): the top falls at \(0.6\,\text{m/s}\).

RememberA relation differentiated with respect to time
\[ \begin{gathered} \dfrac{d}{dt}\,f(y) = \dfrac{df}{dy}\,\dfrac{dy}{dt} \\ \dfrac{d}{dt}\,y^2 = 2y\,\dfrac{dy}{dt} \end{gathered} \]
Holds when\(y\) is any quantity that changes with time and \(f\) any smooth function of it; the relation must hold at every instant, not only at one.
Symbols\(y\) a changing quantity; \(dy/dt\) its rate of change; \(f(y)\) a function of it, such as \(y^2\) or \(1/y\)
Unitsthe unit of \(f\) per second
The foot moves steadily, the top does notA ladder 5 m long leans against a smooth wall of a house in Pune. Its foot is pulled away from the wall along the floor at a steady 0.8 m/s, starting 1 m from the wall. Press play. The velocity arrow at the foot keeps the same length. The top slides down the wall, and its velocity arrow grows: at first the top barely moves, when the foot is 3 m out it falls at 0.6 m/s, and when the foot is 4.6 m out it falls at 1.88 m/s. Two readouts give the distance x of the foot from the wall, the height y of the top, and their rates of change. 0.8 m/s x = 1.00 m, dx/dt = +0.80 m/s y = 4.90 m, dy/dt = −0.16 m/s
Fig 6.1Press play. The foot of the \(5\,\text{m}\) ladder moves out at a steady \(0.8\,\text{m/s}\). The top falls at \(\dot y = -x\,\dot x/y\). Its arrow grows from \(0.16\,\text{m/s}\) to \(0.60\,\text{m/s}\) when the foot is \(3\,\text{m}\) out, and to \(1.88\,\text{m/s}\) when it is \(4.6\,\text{m}\) out.

The formula \(\dot y = -x\,\dot x/y\) answers the painter's question. The foot speed \(\dot x\) stays the same, but the factor \(x/y\) grows. At first \(x\) is small and \(y\) large, so the top barely moves. Late in the slide \(x\) is large and \(y\) small, so the top falls fast. The rates are tied, but not in a fixed proportion.

The steps are always the same. Name the changing quantities. Write the relation that holds between them at every instant. Differentiate the whole relation with respect to time, using the chain rule on each term. Only then put in the numbers of the instant you want, and read the sign of the answer.

principle 4.4
Related rates

Let two quantities that change with time obey an equation at every instant. Then the equation obtained by differentiating it with respect to time also holds at every instant. It ties their rates of change.

A slope without solving for y

The same idea finds a slope on a curve that is not written as \(y = f(x)\). The circle \(x^2 + y^2 = 25\) is such a curve. Differentiate with respect to \(x\), treating \(y\) as a function of \(x\): \(2x + 2y\,dy/dx = 0\), so \(dy/dx = -x/y\). At the point \((3, -4)\) the slope is \(-3/(-4) = 3/4\). This way of working is called implicit differentiation.

A patch of oil

Oil leaking from a ship spreads on still water as a circle. Suppose its area grows at a steady \(2\pi \approx 6.28\) square metres every second. The area is \(A = \pi r^2\), so \(dA/dt = 2\pi r\,dr/dt\). The edge therefore moves out at \(dr/dt = (dA/dt)/(2\pi r) = 1/r\) metres per second. At \(r = 1\,\text{m}\) that is \(1\,\text{m/s}\); at \(r = 4\,\text{m}\) only \(0.25\,\text{m/s}\).

A steady flow of oil, a slowing edgeSeen from above, a circular patch of oil spreads on still water, fed from its centre so that its area grows at a steady 6.28 square metres, 2π, every second. Press play. The patch grows from a radius of 0.8 m to 4 m. A radius is drawn from the centre to the edge, and a velocity arrow at the edge shows how fast the edge moves outward. The arrow shrinks as the patch grows: the edge moves at 1 m/s when the radius is 1 m and at only 0.25 m/s when it is 4 m, because the same new area must be spread round a longer rim. Two readouts give the radius, the speed of the edge, the area and its rate of growth. r r = 0.80 m, edge speed 1.25 m/s area 2.0 m², growing at 6.28 m²/s
Fig 6.2Press play. The area of the oil grows by the same \(6.28\,\text{m}^2\) every second. The velocity arrow at the edge shrinks as the patch grows, because each new square metre is spread round a longer rim.
Checkpoint · numericUnanswered

A ladder \(5\,\text{m}\) long slides with its foot on a smooth floor and its top against a smooth wall. At one instant the foot is \(4\,\text{m}\) from the wall and moves away from it at \(1.5\,\text{m/s}\). How fast does the top slide down, in m/s?

m/s± 2 %
CheckpointUnanswered

A student puts \(x = 3\) into \(x^2 + y^2 = 25\) first, getting \(9 + y^2 = 25\). Differentiating this gives \(2y\,\dot y = 0\), so the top of the ladder seems not to move. What went wrong?

CheckpointUnanswered

A spherical balloon is filled with air at a steady rate \(dV/dt\). Since \(V = \tfrac43\pi r^3\), \(dV/dt = 4\pi r^2\,dr/dt\). When the radius has doubled, how fast does the radius grow compared with before?

Checkpoint · numericUnanswered

For the circle \(x^2 + y^2 = 25\), implicit differentiation gives \(dy/dx = -x/y\). Find the slope of the tangent at the point \((3, -4)\).

± 2 %

Back to physics

Reflection: Plane and Spherical Mirrors finds how fast an image moves by differentiating the mirror formula with respect to time. That is a related-rates problem, and the steps are the ones above.

ExampleAn object approaching a concave mirror

This is the worked example of Reflection: Plane and Spherical Mirrors, lesson 6, done with the tool. An object is \(30\,\text{cm}\) in front of a concave mirror of focal length \(20\,\text{cm}\). It moves towards the mirror along the axis at \(2\,\text{cm/s}\). Find the velocity of the image.

Reveal one step at a time and finish the rest yourself.
Checkpoint · numericUnanswered

A rod slides on two rails \(0.1\,\text{m}\) apart, closing a circuit in a field of \(2\,\text{T}\). The flux is \(\Phi = Blx\), where \(x\) is the rod's distance from the closed end. The rod moves at \(dx/dt = 0.02\,\text{m/s}\). Find the emf \(d\Phi/dt\), in millivolts.

mV± 2 %
Small changes and the tangent line

Small changes by the tangent

Lesson 1 showed that a curve and its tangent cannot be told apart close to a point. So for a small step \(\Delta x\), the curve rises almost exactly as much as the tangent does. That gives the linear approximation: \(\Delta y \approx (dy/dx)\,\Delta x\), or \(f(x_0 + \Delta x) \approx f(x_0) + f'(x_0)\,\Delta x\). The derivative is taken at the known point \(x_0\).

For example, estimate \((2.01)^3\). Take \(f(x) = x^3\) and \(x_0 = 2\), where \(f = 8\) and \(f' = 3x^2 = 12\). With \(\Delta x = 0.01\), \(f(2.01) \approx 8 + 12 \times 0.01 = 8.12\). The exact value is \(8.120601\). The error, about \(0.0006\), is close to \(\tfrac12 f''\,\Delta x^2 = \tfrac12 \times 12 \times 0.0001\). Halve the step and the error falls four times.

Physics uses this estimate all the time. The period of a pendulum is \(T = 2\pi\sqrt{L/g}\), which goes as \(L^{1/2}\). The power rule gives \(dT/T = \tfrac12\,dL/L\). So a string \(1\,\%\) too long makes the period only about \(0.5\,\%\) too long. The same step estimates the error in a measured result from the errors in the quantities it depends on.

Checkpoint · numericUnanswered

Use the tangent at \(x = 2\) to estimate \((2.01)^3\). Here \(f(2) = 8\) and \(f'(2) = 12\).

± 1 %
Common mistake

Put in the numbers only after differentiating. A relation frozen at one instant, such as \(9 + y^2 = 25\), has lost the rates it was meant to relate. And the small-change estimate works only for small steps. Its error grows as \(\tfrac12 f''\,\Delta x^2\). A step that is large compared with the scale on which the curve bends gives a wrong answer.

Back to the painter

The foot of the painter's ladder moves at a steady \(0.8\,\text{m/s}\), and the top falls at \(0.8\,x/y\). When the foot is \(1\,\text{m}\) out, the top falls at only \(0.16\,\text{m/s}\). When it is \(3\,\text{m}\) out, \(0.6\,\text{m/s}\). When it is \(4.6\,\text{m}\) out, \(1.88\,\text{m/s}\). The rates are tied by the triangle, and the factor \(x/y\) is what makes the top rush down at the end.

In the world
Where this tool works in physics

Related rates tie the moving parts of many physics situations. The equation of continuity and the time to drain a tank in Fluid Flow come from a volume that changes as a level falls. Faraday's law meets the motional emf of a sliding rod through the flux \(Blx\) in Faraday's Law, Lenz's Law and Motional EMF. The image velocity \(v_I = -m^2v_O\) comes from differentiating the mirror formula in Reflection: Plane and Spherical Mirrors. The velocities of the two ends of a sliding ladder are tied by its length in Rigid Bodies and Moment of Inertia.

Exam traps
  1. Substituting the numbers of one instant before differentiating.
    Differentiate the relation while every quantity is still a variable. Put in the numbers afterwards.
  2. Dropping the rate factor when differentiating a variable.
    With respect to time, \(y^2\) gives \(2y\,dy/dt\), not \(2y\). Every changing quantity brings its own rate.
  3. Losing the sign of a rate.
    A quantity that is decreasing has a negative rate. The top of a sliding ladder has \(\dot y < 0\).

Where this tool works in the book

The physics that leans on this lesson. Each card opens the topic where the tool is at work.