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Advanced Calculus Chapter 3 Applications of partial differentiation 37
3 Applications of partial differentiation
3.1 Stationary points
Higher derivatives
2
Let U ⊆ R and f : U → R. The partial derivatives f and f
x y
are functions of x and y and so we can find their partial deriva-
tives. We write fxy to denote fy differentiated with respect to x.
Similarly fxx denotes fx differentiated with respect to x, and fyx
and fyy denote fx and fy, respectively, differentiated with respect
to y. The functions f , f , f and f are the second partial
xx xy yx yy
derivatives of f. For the other notation for partial derivatives, we
write ∂ µ∂f¶ or just ∂2f for fxx, ∂ µ∂f¶ or just ∂2f for
∂x ∂x ∂x2 ∂x ∂y ∂x∂y
f , ∂ µ∂f¶ or just ∂2f for f and ∂ µ∂f¶ or just ∂2f for
xy ∂y ∂x ∂y∂x yx ∂y ∂y ∂y2
fyy.
We can also differentiate the second partial derivatives to get the
third partial derivatives, and so on. For example, f , or ∂3f , is
xyy ∂x∂y2
the third partial derivative obtained from differentiating fyy with
respect to x.
Example 1 Let f(x,y) = 3x3y +2xy2 −4x2y. Then
f (x,y) = 9x2y+2y2−8xy;
x
f (x,y) = 3x3+4xy−4x2;
y
fxx(x,y) = 18xy−8y;
f (x,y) = 9x2+4y−8x;
yx
fyy(x,y) = 4x;
f (x,y) = 9x2+4y−8x.
xy
Notethat, in Example 1, fyx = fxy. This is true for all well-behaved
functions. In particular, if f and f are both continuous on R2
xy yx
2 2
(or an open subset U of R ) then fyx = fxy on R (U).
Advanced Calculus Chapter 3 Applications of partial differentiation 38
Example 2 Let z = xcos2y. Then
∂z = cos2y,
∂x
∂z = −2xsin2y,
∂y
∂2z
∂x2 = 0,
∂2z
∂y∂x = −2sin2y,
∂2z
∂x∂y = −2sin2y,
∂2z
∂y2 = −4xcos2y.
xe2x
Example 3 Let z = yn . Find all the possible values of n given
that
∂2z ∂2z
3x −xy2 =12z.
∂x2 ∂y2
xe2x
For z = yn we have
2x 2x
∂z = e +2xe ,
∂x yn
e2x(1 + 2x)
= yn ,
∂z nxe2x
∂y = −yn+1 ,
2 2x 2x
∂ z = 2e (1+2x)+e ×2,
∂x2 yn
4e2x(x+1)
= yn ,
∂2z n(n+1)xe2x
∂y2 = yn+2 .
Thus
2 2 2x 2 2x 2x
3x∂ z−xy2∂ z = 12xe (x+1)−n(n+1)x e =xe (12(x+1)−n(n+1)x),
2 2 n n n
∂x ∂y y y y
Advanced Calculus Chapter 3 Applications of partial differentiation 39
and so
2 2 2x 2x
3x∂ z −xy2∂ z = 12z ⇔ xe (12(x+1)−n(n+1)x)= 12xe ,
2 2 n n
∂x ∂y y y
⇔ 12(x+1)−n(n+1)x=12,
(Since the result is true for all x and y.)
⇔ 12x+12−n(n+1)x=12,
⇔ 12−n(n+1)=0,
(Since the result is true for all x.)
⇔ n2+n−12=0,
⇔ (n+4)(n−3)=0,
⇔ n=−4orn=3.
Stationary points
Let U ⊆ R2, and let f : U → R. Then (a,b) is a stationary point
of f if the tangent plane at (a,b) is horizontal. That is, the tangent
plane is parallel to the (x,y)-plane, and so has the form z = c for
some constant c.
Sincethetangentplaneat(a,b)passesthroughthepoint(a,b,f(a,b)),
then if it is horizontal it has the form
z = f(a,b).
Recall from Chapter 1 that the equation of the tangent plane at
(a,b) is
f(a,b)−z+fx(a,b)(x−a)+fy(a,b)(y−b)=0.
Now, if (a,b) is a stationary point then f(a,b) − z = 0, and so
f (a,b)(x −a)+f (a,b)(y −b) = 0.
x y
The last equation is true for all x and y. Putting x = a and y any
value other than b into this equation gives fy(a,b) = 0. Similarly,
putting y = b and x any value other than a into this equation
gives fx(a,b) = 0. Hence, if (a,b) is a stationary point of f then
fx(a,b) = 0 and fy(a,b) = 0. It is straightforward to establish the
converse of this result. Thus, to find the stationary points of f, we
have to find the solutions of the equations
f (a,b) = 0,
x
fy(a,b) = 0.
Example 4 Find all of the stationary points of
2 2
f(x,y) = x y +3xy −3xy.
Advanced Calculus Chapter 3 Applications of partial differentiation 40
The partial derivative of f are
f (x,y) = 2xy+3y2−3y =y(2x+3y−3);
x
2
fy(x,y) = x +6xy−3x=x(x+6y−3).
Putting fx(x,y) = fy(x,y) = 0 gives
y(2x+3y−3) = 0, (1)
x(x+6y−3) = 0. (2)
From equation (1) either y = 0 or 2x + 3y = 3. If y = 0 then
equation 2 gives x(x−3) = 0, and so x = 0,3. If 2x+3y = 3 then
6y = 6−4x. Thus, in this case, equation 2 gives x(3−3x) = 0, and
so x = 0,1 and y = 1, 1, respectively. Thus the stationary points
3 1
of f are (0,0), (0,3), (0,1) and (1, 3).
Types of stationary points
There are three main types of stationary point: a local minimum,
a local maximum and a saddle point. The following diagrams show
a typical graph and contour-plot of these three types.
Alocal minimum
2
1
4
3
0 y
2 -2 -1 0 1
x
1 -2
-1 -1
0
2 1 00 y
1 -1 -2
x
2 -2
Alocal maximum
2
-2 -2
-1 xy -1
00 1
0
1 1
2 -1 2
x
-2 -2 -1 0 1
-3 0 y
-4
-5 -1
-2
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