5.6 Stationary pointsIB Maths: Applications and Interpretation SL: Revision notes
Section 1
Gradient zero: stationary points
The derivative gives the gradient of the tangent to the curve . A stationary point occurs at any value of where , because the tangent is horizontal there. To find them, differentiate, set and solve. For : , so and , giving the stationary point . Remember the power rule: if then , and a constant differentiates to 0.
Substituting the stationary into to find the -coordinate. It is 0 by definition; substitute into instead.
Section 2
Using technology to find f′(x) and solve f′(x) = 0
In examinations you may use your GDC rather than differentiating by hand. Most GDCs and graphing software can plot the graph of directly, or give the gradient at any chosen point. The solutions of are the -intercepts (zeros) of the graph of , which you can read using the GDC’s zero or solve function. Example: for the derivative is , whose graph crosses the -axis at and . Then use to find the -values: and . Give answers exactly or to 3 significant figures.
Check your GDC graph window shows the whole domain, otherwise a stationary point can be missed.
Section 3
Local maximum and local minimum points
A local maximum is a point where is greater than at all nearby points; a local minimum is lower than all nearby points. Both are stationary points, so . To decide which, look at the sign of just before and just after the point:
- positive then negative (the curve rises, then falls): local maximum;
- negative then positive (the curve falls, then rises): local minimum. Example: has , and , . So is a local maximum and is a local minimum.
Assuming every point with is a maximum or minimum. Always check the sign of the gradient either side.
Section 4
Coordinates and values at the stationary points
State a stationary point as coordinates . Once you know the -value, substitute into the original function to get the maximum or minimum value. For , , so the stationary points are at and . and , so is a local maximum and . In context, interpret the answer with units: a local maximum profit of 35 thousand USD.
Section 5
Local is not the same as greatest or least
A local maximum is only the highest point nearby; it is not necessarily the greatest value of the function on the given domain. Likewise a local minimum is not necessarily the least value. To find the greatest or least value on a domain , compare the values at the stationary points with and at the ends. Example: for has a local minimum , but is smaller, so the least temperature is at the end of the domain.
In a context question, always evaluate the function at both ends of the domain before claiming a greatest or least value.
Section 6
Worked example in context
A ball’s height is modelled by metres for . Find the greatest height. gives . and , so it is a local maximum. m. Check the ends: and , so 21 m is the greatest height on the domain. The negative value shows the ball has hit the ground before , which is why the domain should always be checked against the context.
That's the notes covered.
Carry on to the next subtopic.
Exam questions on 5.6 Stationary points
- The function is given by .Justify that the point where is a local maximum, and write down its coordinates.2 marks
- The gradient function of a curve is .Justify that has a local minimum at .2 marks
- A company sells hundred units of a product each week, where . The weekly profit, thousand USD, is modelled by .Find and hence find the values of for which .3 marks
Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).