MAXIMA, MINIMA AND SADDLE POINTS FOR FUNCTIONS OF TWO VARIABLES 357
G
(iii) solve the simultaneous equations
∂z
∂x
=0 and
∂z
∂y
=0 forxandy, which gives the co-ordinates
of the stationary points,
(iv) determine
∂^2 z
∂x^2
,
∂^2 z
∂y^2
and
∂^2 z
∂x∂y
(v) for each of the co-ordinates of the station-
ary points, substitute values ofxandyinto
∂^2 z
∂x^2
,
∂^2 z
∂y^2
and
∂^2 z
∂x∂y
and evaluate each,
(vi) evaluate
(
∂^2 z
∂x∂y
) 2
for each stationary point,
(vii) substitute the values of
∂^2 z
∂x^2
,
∂^2 z
∂y^2
and
∂^2 z
∂x∂y
into
the equation
=
(
∂^2 z
∂x∂y
) 2
−
(
∂^2 z
∂x^2
)(
∂^2 z
∂y^2
)
and evaluate,
(viii) (a) if
0 then the stationary point is a
saddle point
(b) if
< 0 and
∂^2 z
∂x^2
< 0 , then the stationary
point is amaximum point,
and
(c) if
< 0 and
∂^2 z
∂x^2
> 0 , then the stationary
point is aminimum point
36.4 Worked problems on maxima,
minima and saddle points for
functions of two variables
Problem 1. Show that the function
z=(x−1)^2 +(y−2)^2 has one stationary point
only and determine its nature. Sketch the surface
represented byzand produce a contour map in
thex-yplane.
Following the above procedure:
(i)
∂z
∂x
=2(x−1) and
∂z
∂y
=2(y−2)
(ii) 2(x−1)= 0 (1)
2(y−2)= 0 (2)
(iii) From equations (1) and (2),x=1 andy=2,
thus the only stationary point exists at (1, 2).
(iv) Since
∂z
∂x
=2(x−1)= 2 x−2,
∂^2 z
∂x^2
= 2
and since
∂z
∂y
=2(y−2)= 2 y−4,
∂^2 z
∂y^2
= 2
and
∂^2 z
∂x∂y
=
∂
∂x
(
∂z
∂y
)
=
∂
∂x
(2y−4)= 0
(v)
∂^2 z
∂x^2
=
∂^2 z
∂y^2
=2 and
∂^2 z
∂x∂y
= 0
(vi)
(
∂^2 z
∂x∂y
) 2
= 0
(vii) =(0)^2 −(2)(2)=− 4
(viii) Since<0 and
∂^2 z
∂x^2
>0,the stationary point
(1, 2) is a minimum.
The surfacez=(x−1)^2 +(y−2)^2 is shown in three
dimensions in Fig. 36.7. Looking down towards the
x-yplane from above, it is possible to produce acon-
tour map. A contour is a line on a map which gives
places having the same vertical height above a datum
line (usually the mean sea-level on a geographical
map). A contour map forz=(x−1)^2 +(y−2)^2 is
shown in Fig. 36.8. The values ofzare shown on the
map and these give an indication of the rise and fall
to a stationary point.
1
o
1
2
x
y
z
Figure 36.7