VII. APPROXIMATION

81. _Approximate Character of Numbers._--The numbers (integral or

decimal) by which we represent the results of arithmetical operations

are often only approximately correct. All numbers, for instance, which

represent physical measurements, are limited in their accuracy not only

by our powers of measurement but also by the accuracy of the measure we

use as our unit. Also most fractions cannot be expressed exactly as

decimals; and this is also the case for surds and logarithms, as well as

for the numbers expressing certain ratios which arise out of geometrical

relations. Even where numbers are supposed to be exact, calculations

based on them can often only be approximate. We might, for instance,

calculate the exact cost of 3 lb. 5 oz. of meat at 9-1/2 d. a lb., but

there are no coins in which we could pay this exact amount.

When the result of any arithmetical operation or operations is

represented approximately but not exactly by a number, the excess

(positive or negative) of this number over the number which would

express the result exactly is called the _error_.

82. _Degree of Accuracy._--There are three principal ways of expressing

the degree of accuracy of any number, i.e. the extent to which it is

equal to the number it is intended to represent.

(i) A number can be _correct to_ so many _places of decimals_. This

means (cf. S 71) that the number differs from the true value by less

than one-half of the unit represented by 1 in the last place of

decimals. For instance, .143 represents 1/7 correct to 3 places of

decimals, since it differs from it by less than .0005. The final figure,

in a case like this, is said to be _corrected_.

This method is not good for comparative purposes. Thus .143 and 14.286

represent respectively 1/7 and 100/7 to the same number of places of

decimals, but the latter is obviously more exact than the former.

(ii) A number can be correct to so many _significant figures_. The

significant figures of a number are those which commence with the first

figure other than zero in the number; thus the significant figures of

13.027 and of .00013027 are the same.

This is the usual method; but the relative accuracy of two numbers

expressed to the same number of significant figures depends to a certain

extent on the magnitude of the first figure. Thus .14286 and .85714

represent 1/7 and 6/7 correct to 5 significant figures; but the latter

is relatively more accurate than the former. For the former shows only

that 1/7 lies between .142855 and .142865, or, as it is better

expressed, between .14285-1/2 and .14286-1/2; but the latter shows that

6/7 lies between .85713-1/2 and .85714-1/2, and therefore that 1/7 lies

between .14285-7/12 and .14285-9/12.

In either of the above cases, and generally in any case where a number

is known to be within a certain limit on each side of the stated value,

the _limit of error_ is expressed by the sign [+-]. Thus the former of

the above two statements would give 1/7 = .14286 [+-] .000005. It should

be observed that the numerical value of the error is to be subtracted

from or added to the stated value according as the error is positive or

negative.

(iii) The limit of error can be expressed as a fraction of the number as

stated. Thus 1/7 = .143 [+-] .0005 can be written 1/7 = 143(1 [+-]

1/286).

83. _Accuracy after Arithmetical Operations._--If the numbers which are

the subject of operations are not all exact, the accuracy of the result

requires special investigation in each case.

Additions and subtractions are simple. If, for instance, the values of a

and b, correct to two places of decimals, are 3.58 and 1.34, then 2.24,

as the value of a-b, is not necessarily correct to two places. The limit

of error of each being [+-].005, the limit of error of their sum or

difference is [+-].01.

For multiplication we make use of the formula (S 60 (i)) (a' [+-]

[alpha])(b' [+-] [beta]) = a'b' + [alpha][beta] [+-] (a'[beta] +

b'[alpha]). If a' and b' are the stated values, and [+-][alpha] and

[+-][beta] the respective limits of error, we ought strictly to take

a'b' + [alpha][beta] as the product, with a limit of error [+-](a'[beta]

+ b'[alpha]). In practice, however, both [alpha][beta] and a certain

portion of a'b' are small in comparison with a'[beta] and b'[alpha], and

we therefore replace a'b' + [alpha][beta] by an approximate value, and

increase the limit of error so as to cover the further error thus

introduced. In the case of the two numbers given in the last paragraph,

the product lies between 3.575 X 1.335 = 4.772625 and 3.585 X 1.345 =

4.821825. We might take the product as (3.58 X 1.34) + (.005)^2 =

4.797225, the limits of error being [+-].005(3.58 + 1.34) = [+-].0246;

but it is more convenient to write it in such a form as 4.797 [+-] .025

or 4.80 [+-] .03.

If the number of decimal places to which a result is to be accurate is

determined beforehand, it is usually not necessary in the actual working

to go to more than two or three places beyond this. At the close of the

work the extra figures are dropped, the last figure which remains being

corrected (S 82 (i)) if necessary.

Encyclopaedia Britannica, 11th Edition, "Arculf" to "Armour, Philip" Volume 2, Slice 5 · 第 50 / 69 题