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5.14 Implicit differentiation, related rates and optimisationIB Maths: Analysis and Approaches HL: Revision notes

Section 1

Implicit differentiation

When xx and yy are linked by an equation such as x2+xy+y2=7x^{2} + xy + y^{2} = 7, differentiate every term with respect to xx, treating yy as a function of xx. By the chain rule, ddx(y2)=2ydydx,ddx(xy)=y+xdydx (product rule).\frac{d}{dx}\left(y^{2}\right) = 2y\frac{dy}{dx}, \qquad \frac{d}{dx}(xy) = y + x\frac{dy}{dx}\ \text{(product rule)}. Then collect the dydx\dfrac{dy}{dx} terms and factorise: 2x+y+(x+2y)dydx=0⇒dydx=−2x+yx+2y.2x + y + (x + 2y)\frac{dy}{dx} = 0 \Rightarrow \frac{dy}{dx} = -\frac{2x + y}{x + 2y}. The gradient usually depends on both xx and yy, so you need the coordinates of the point. Tangents and normals then follow as usual.

Key termsimplicit differentiation
Common mistake

Forgetting the product rule on xyxy: its derivative is y+xdydxy + x\dfrac{dy}{dx}, not yy or dydx\dfrac{dy}{dx}.

Common mistake

Forgetting to differentiate the constant on the right-hand side: it becomes 00.

Section 3

Removing an extra variable

For a cone of water (vertex down) with height 66 and top radius 33, similar triangles give r=h2r = \dfrac{h}{2}, so V=13πr2h=πh312,dVdh=πh24.V = \frac{1}{3}\pi r^{2}h = \frac{\pi h^{3}}{12}, \qquad \frac{dV}{dh} = \frac{\pi h^{2}}{4}. With water entering at 0.8 m30.8\text{ m}^{3} per minute, at h=2h = 2: 0.8=πdhdt0.8 = \pi\dfrac{dh}{dt}, so dhdt=45π\dfrac{dh}{dt} = \dfrac{4}{5\pi} m per minute. Because r=h2r = \dfrac{h}{2} always, drdt=12dhdt\dfrac{dr}{dt} = \dfrac{1}{2}\dfrac{dh}{dt}.

You can also differentiate an equation with respect to tt implicitly: from x2+y2=25x^{2} + y^{2} = 25, 2xdxdt+2ydydt=02x\dfrac{dx}{dt} + 2y\dfrac{dy}{dt} = 0.

Key termssimilar triangles

Section 4

Optimisation, including end points

To optimise f(x)f(x) on a closed interval a≤x≤ba \le x \le b:

  1. Build the function from the context (e.g. time == distance ÷\div speed).
  2. Solve f′(x)=0f'(x) = 0 and keep only solutions inside the interval.
  3. Compare ff at these stationary points and at the end points aa and bb.

The optimum can be at an end point. If a boat is fast enough, the time T(x)T(x) is decreasing on the whole interval (T′(x)<0T'(x) < 0), so the quickest route is to go all the way by boat (x=4x = 4). Solving T′(x)=0T'(x) = 0 then gives a value outside the domain, which must be rejected.

Key termsend pointglobal minimum
Common mistake

Assuming the answer to f′(x)=0f'(x) = 0 is always the optimum. Always check it is in the domain and compare with the end points.

Exam tip

Justify your answer: a sign change of f′f', the sign of f′′f'', or a comparison with end-point values.

Must know

  • Implicit: differentiate each term w.r.t. xx; ddx(yn)=nyn−1dydx\dfrac{d}{dx}(y^{n}) = ny^{n-1}\dfrac{dy}{dx}; use the product rule on xyxy.
  • Related rates: chain rule linking known and unknown rates; differentiate first, substitute second.
  • Use similar triangles or Pythagoras to reduce to one variable.
  • Optimisation on an interval: check stationary points inside the interval and the end points.

That's the notes covered.

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