You are reading a page from Calculus and Probability for Actuarial Students, Alfred Henry (1927)
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CHAPTER XIV
DIFFERENTIAL CALCULUS. MISCELLANEOUS
APPLICATIONS

LIMITING VALUES OR UNDETERMINED FORMS
MISCELLANEOUS APPLICATIONS    83
    Example 3. To find    Lt gcz      —    g zyogz
Lt gez g = Lt .g      [gcx-'      1]
.-0 gz —    z—o gz — 1
z
= Lt g [gx log c+ 2 (log c)2+... — 1]
gz
z~.o [{x1ogc+(logc)2+ g    ...} log g
+xloge+2i(log C)2+...~' (logg)2+...]
    = Lt    11    
z~u    x log g + 2 i (log g)2 + ...
= Lt qlog,glogc+terms involving x2 and higher powers of x
    x—.0    x log g + T, (log g)2 + ...
= Lt q logg log c+ terms involving x and higher powers of x
xyu    logg+2i(log g)2+...
glogc.
3. The formulas of the Differential Calculus can be used for the solution of problems of this class, in the following way.
f Let    ~~ take the form 0
when x--,-a.
Then if x = a + h, by Taylor's Theorem,
f (x) f (a) + hf' (a) + ...
    (x)    (a) +14' (a) + ... '
Now when x a, h -9.0 and both f (a) and (a) = O. We have, therefore,
Lt ' (x) _ f' (a)
xya4 (x) Y' (a),
If this is still an undetermined form, the process can be repeated. Taking Example 3 above, we have
f(x)=g`z—g,
~(x)=gz1,
f' (x) = g°z c'' log g log c,
4' (x) = gz log g.

6—S

84    DIFFERENTIAL CALCULUS
Therefore    Lt~ fix) = Ltgc2 cx log g g log c g
=g log c, as before.
MISCELLANEOUS APPLICATIONS    85
By this definition there may be several "maximum" values and several "minimum" values; further, a "minimum" value may conbe greater than one of the "maximum" values.
These conceptions are illustrated in the following diagram.
Thus the points A and D are maxima, whilst the points B and E are minima. At the point C
the value of the function ceases    D
momentarily to increase but is in-creasing both before and after the
point is reached. Such points,    yE. where the rate of increase or de
crease in the value of the function tends to become constant as the point is reached, are called points of inflexion.
86    DIFFERENTIAL CALCULUS
Hence in order to find the maximum and minimum values of f (x) it is necessary

or    x =p Now    x=—p(p—1)xP-2
P-2 = —p (p -1) p_
and is therefore negative.
Hence the above value of x is a maximum value.
Example 2. What are the dimensions of the largest rectangular box on a square base the area of whose surface does not exceed 12 square feet ?
Let x be the volume of the box, a the length of the base and b the height.
Then the surface is 2a2 + 4ab = 12, whence
, 6—a2 2a

MISCELLANEOUS APPLICATIONS    87
Also    x = a' b
(6
2a     ,
dx    3a'
da=3—2,
d'x=_3a.
da'

For a maximum or minimum value dx = 0, therefore

2
3—`2 =0
or    a = V2, whence b = V2,
d'x and since (la'
is negative when a = V2, this value gives a maximum

value for x.