Stationary Points
Stationary Points
When , the function is increasing.
When , the function is decreasing.
A stationary point of a function is when it is neither increasing – i.e. when
Make sure you are happy with the following topics before continuing.
Finding Stationary Points
To find a point where the gradient is , we need to set .
So, let’s say we’ve got a nice, easy function: .
Well, we know that the gradient is given by .
Setting gives , for which .
We conclude that has a stationary point at .
Finding Stationary Points of Complicated Functions
Let for measured in radians. How might we go about finding the stationary points (in the range
)?
gives .
Setting , we require , or, .
This gives .
Therefore, for , we have the stationary points .
Finding the Nature of Stationary Points
Once we’ve found our stationary points, we need to find out whether they are a maximum, minimum, or a stationary point of inflection.
We do this by differentiating our derivative again.
So, for example, take our first example of .
We said that .
So .
Since , we can conclude that this is a minimum point. You probably figured that out from the graph, though.
What about the second example, ?
Well, we know that .
By extension, . We now need to test both of our values of for the corresponding value of .
So, for , , so it is a maximum point.
For , , so it is a minimum point.
Note
doesn’t always mean the stationary point is a point of inflection.
For example, has a minimum at , but , which equals at , so in this case leads to a minimum.
However, all points of inflection have the property , so to interpret the result you will need to check whether the second derivative changes sign either side of the stationary point.
Sketching Graphs from Information about Functions
Say we have a complex function with multiple terms, i.e. where is measured in radians.
Then and .
Therefore, any stationary points will occur when , so .
For , and , which is a maximum.
For , and , which is a minimum.
For , and , which is a maximum.
For , and , which is a minimum.
We can sketch these parts onto a graph to give us a rough form.
We can be helped further in sketching by considering the behaviour of the graph as gets really big or really small. We know that the graph roughly follows , so as gets really big so does , and as gets really small so does . With this, we can finish our graph.
Stationary Points Example Questions
Question 1: Find the stationary point of .
[3 marks]
gives
when .
Substituting this value into gives
Thus, the stationary point is at
Question 2: Determine the nature of the stationary point for the function .
[3 marks]
gives
leading to
, so this is a maximum point.
Question 3: For the function , find the -coordinates of the stationary points, and determine their nature.
[5 marks]
can be simplified to
So, has solutions at .
So
when , so this is a minimum point.
when , so this is a maximum point.
when , so this is a minimum point.
Specification Points Covered
G1 – Understand and use the derivative of as the gradient of the tangent to the graph of at a general point ; the gradient of the tangent as a limit; interpretation as a rate of change; sketching the gradient function for a given curve; second derivatives; differentiation from first principles for small positive integer powers of ; understand and use the second derivative as the rate of change of gradient; connection to convex and concave sections of curves and points of inflection
G3 – Apply differentiation to find gradients, tangents and normals, maxima and minima and stationary points, points of inflection