1 The stationary points of a function of two variables
Figure 7 shows a computer generated picture of the surface defined by the function
where both and take values in the interval .
Figure 7
There are four features of particular interest on the surface. At point there is a local maximum , at there is a local minimum , and at and there are what are known as saddle points .
At the surface is at its greatest height in the immediate neighbourhood. If we move on the surface from we immediately lose height no matter in which direction we travel. At the surface is at its least height in the neighbourhood. If we move on the surface from we immediately gain height, no matter in which direction we travel.
The features at and are quite different. In some directions as we move away from these points along the surface we lose height whilst in others we gain height. The similarity in shape to a horse’s saddle is evident.
At each point of a smooth surface one can draw a unique plane which touches the surface there. This plane is called the tangent plane at . (The tangent plane is a natural generalisation of the tangent line which can be drawn at each point of a smooth curve.) In Figure 7 at each of the points the tangent plane to the surface is horizontal at the point of interest. Such points are thus known as stationary points of the function. In the next subsections we show how to locate stationary points and how to determine their nature using partial differentiation of the function ,
Task!
In Figures 8 and 9 what are the features at and ?
Figure 8
Figure 9
Figure 8 is a saddle point, is a local minimum.
Figure 9 is a local maximum, is a saddle point.