5.14 Implicit differentiation, related rates and optimisationIB Maths: Analysis and Approaches HL: Revision notes
Section 1
Implicit differentiation
When and are linked by an equation such as , differentiate every term with respect to , treating as a function of . By the chain rule, Then collect the terms and factorise: The gradient usually depends on both and , so you need the coordinates of the point. Tangents and normals then follow as usual.
Forgetting the product rule on : its derivative is , not or .
Forgetting to differentiate the constant on the right-hand side: it becomes .
Section 3
Removing an extra variable
For a cone of water (vertex down) with height and top radius , similar triangles give , so With water entering at per minute, at : , so m per minute. Because always, .
You can also differentiate an equation with respect to implicitly: from , .
Section 4
Optimisation, including end points
To optimise on a closed interval :
- Build the function from the context (e.g. time distance speed).
- Solve and keep only solutions inside the interval.
- Compare at these stationary points and at the end points and .
The optimum can be at an end point. If a boat is fast enough, the time is decreasing on the whole interval (), so the quickest route is to go all the way by boat (). Solving then gives a value outside the domain, which must be rejected.
Assuming the answer to is always the optimum. Always check it is in the domain and compare with the end points.
Justify your answer: a sign change of , the sign of , or a comparison with end-point values.
Must know
- Implicit: differentiate each term w.r.t. ; ; use the product rule on .
- 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.
Carry on to the next subtopic.