CHAPTER XVIII.

_HISTORICAL NOTICE CONCERNING THE CALCULUS OF PROBABILITIES._

Long ago were determined, in the simplest games, the ratios of the

chances which are favorable or unfavorable to the players; the stakes

and the bets were regulated according to these ratios. But no one before

Pascal and Fermat had given the principles and the methods for

submitting this subject to calculus, and no one had solved the rather

complicated questions of this kind. It is, then, to these two great

geometricians that we must refer the first elements of the science of

probabilities, the discovery of which can be ranked among the remarkable

things which have rendered illustrious the seventeenth century—the

century which has done the greatest honor to the human mind. The

principal problem which they solved by different methods, consists, as

we have seen, in distributing equitably the stake among the players, who

are supposed to be equally skilful and who agree to stop the game before

it is finished, the condition of play being that, in order to win the

game, one must gain a given number of points different for each of the

players. It is clear that the distribution should be made proportionally

to the respective probabilities of the players of winning this game, the

probabilities depending upon the numbers of points which are still

lacking. The method of Pascal is very ingenious, and is at bottom only

the equation of partial differences of this problem applied in

determining the successive probabilities of the players, by going from

the smallest numbers to the following ones. This method is limited to

the case of two players; that of Fermat, based upon combinations,

applies to any number of players. Pascal believed at first that it was,

like his own, restricted to two players; this brought about between them

a discussion, at the conclusion of which Pascal recognized the

generality of the method of Fermat.

Huygens united the divers problems which had already been solved and

added new ones in a little treatise, the first that has appeared on this

subject and which has the title _De Ratiociniis in ludo aleæ_. Several

geometricians have occupied themselves with the subject since: Hudde,

the great pensionary, Witt in Holland, and Halley in England, applied

calculus to the probabilities of human life, and Halley published in

this field the first table of mortality. About the same time Jacques

Bernoulli proposed to geometricians various problems of probability, of

which he afterwards gave solutions. Finally he composed his beautiful

work entitled _Ars conjectandi_, which appeared seven years after his

death, which occurred in 1706. The science of probabilities is more

profoundly investigated in this work than in that of Huygens. The author

gives a general theory of combinations and series, and applies it to

several difficult questions concerning hazards. This work is still

remarkable on account of the justice and the cleverness of view, the

employment of the formula of the binomial in this kind of questions, and

by the demonstration of this theorem, namely, that in multiplying

indefinitely the observations and the experiences, the ratio of the

events of different natures approaches that of their respective

probabilities in the limits whose interval becomes more and more narrow

in proportion as they are multiplied, and become less than any

assignable quantity. This theorem is very useful for obtaining by

observations the laws and the causes of phenomena. Bernoulli attaches,

with reason, a great importance to his demonstration, upon which he has

said to have meditated for twenty years.

In the interval, from the death of Jacques Bernoulli to the publication

of his work, Montmort and Moivre produced two treatises upon the

calculus of probabilities. That of Montmort has the title _Essai sur les

Jeux de hasard_; it contains numerous applications of this calculus to

various games. The author has added in the second edition some letters

in which Nicolas Bernoulli gives the ingenious solutions of several

difficult problems. The treatise of Moivre, later than that of Montmort,

appeared at first in the _Transactions philosophiques_ of the year 1711.

Then the author published it separately, and he has improved it

successively in three editions. This work is principally based upon the

formula of the binomial and the problems which it contains have, like

their solutions, a grand generality. But its distinguishing feature is

the theory of recurrent series and their use in this subject. This

theory is the integration of linear equations of finite differences with

constant coefficients, which Moivre made in a very happy manner.

In his work, Moivre has taken up again the theory of Jacques Bernoulli

in regard to the probability of results determined by a great number of

observations. He does not content himself with showing, as Bernoulli

does, that the ratio of the events which ought to occur approaches

without ceasing that of their respective probabilities; but he gives

besides an elegant and simple expression of the probability that the

difference of these two ratios is contained within the given limits. For

this purpose he determines the ratio of the greatest term of the

development of a very high power of the binomial to the sum of all its

terms, and the hyperbolic logarithm of the excess of this term above the

terms adjacent to it.

The greatest term being then the product of a considerable number of

factors, his numerical calculus becomes impracticable. In order to

obtain it by a convergent approximation, Moivre makes use of a theorem

of Stirling in regard to the mean term of the binomial raised to a high

power, a remarkable theorem, especially in this, that it introduces the

square root of the ratio of the circumference to the radius in an

expression which seemingly ought to be irrelevant to this transcendent.

Moreover, Moivre was greatly struck by this result, which Stirling had

deduced from the expression of the circumference in infinite products;

Wallis had arrived at this expression by a singular analysis which

contains the germ of the very curious and useful theory of definite

integrals.

Many scholars, among whom one ought to name Deparcieux, Kersseboom,

Wargentin, Dupré de Saint-Maure, Simpson, Sussmilch, Messène, Moheau,

Price, Bailey, and Duvillard, have collected a great amount of precise

data in regard to population, births, marriages, and mortality. They

have given formulæ and tables relative to life annuities, tontines,

assurances, etc. But in this short notice I can only indicate these

useful works in order to adhere to original ideas. Of this number

special mention is due to the mathematical and moral hopes and to the

ingenious principle which Daniel Bernoulli has given for submitting the

latter to analysis. Such is again the happy application which he has

made of the calculus of probabilities to inoculation. One ought

especially to include, in the number of these original ideas, direct

consideration of the possibility of events drawn from events observed.

Jacques Bernoulli and Moivre supposed these possibilities known, and

they sought the probability that the result of future experiences will

more and more nearly represent them. Bayes, in the _Transactions

philosophiques_ of the year 1763, sought directly the probability that

the possibilities indicated by past experiences are comprised within

given limits; and he has arrived at this in a refined and very ingenious

manner, although a little perplexing. This subject is connected with the

theory of the probability of causes and future events, concluded from

events observed. Some years later I expounded the principles of this

theory with a remark as to the influence of the inequalities which may

exist among the chances which are supposed to be equal. Although it is

not known which of the simple events these inequalities favor,

nevertheless this ignorance itself often increases the probability of

compound events.

In generalizing analysis and the problems concerning probabilities, I

was led to the calculus of partial finite differences, which Lagrange

has since treated by a very simple method, elegant applications of which

he has used in this kind of problems. The theory of generative functions

which I published about the same time includes these subjects among

those it embraces, and is adapted of itself and with the greatest

generality to the most difficult questions of probability. It determines

again, by very convergent approximations, the values of the functions

composed of a great number of terms and factors; and in showing that the

square root of the ratio of the circumference to the radius enters most

frequently into these values, it shows that an infinity of other

transcendents may be introduced.

Testimonies, votes, and the decisions of electoral and deliberative

assemblies, and the judgments of tribunals, have been submitted likewise

to the calculus of probabilities. So many passions, divers interests,

and circumstances complicate the questions relative to the subjects,

that they are almost always insoluble. But the solution of very simple

problems which have a great analogy with them, may often shed upon

difficult and important questions great light, which the surety of

calculus renders always preferable to the most specious reasonings.

One of the most interesting applications of the calculus of

probabilities concerns the mean values which must be chosen among the

results of observations. Many geometricians have studied the subject,

and Lagrange has published in the _Mémoires de Turin_ a beautiful method

for determining these mean values when the law of the errors of the

observations is known. I have given for the same purpose a method based

upon a singular contrivance which may be employed with advantage in

other questions of analysis; and this, by permitting indefinite

extension in the whole course of a long calculation of the functions

which ought to be limited by the nature of the problem, indicates the

modifications which each term of the final result ought to receive by

virtue of these limitations. It has already been seen that each

observation furnishes an equation of condition of the first degree,

which may always be disposed of in such a manner that all its terms be

in the first member, the second being zero. The use of these equations

is one of the principal causes of the great precision of our

astronomical tables, because an immense number of excellent observations

has thus been made to concur in determining their elements. When there

is only one element to be determined Côtes prescribed that the equations

of condition should be prepared in such a manner that the coefficient of

the unknown element be positive in each of them; and that all these

equations should be added in order to form a final equation, whence is

derived the value of this element. The rule of Côtes was followed by all

calculators, but since he failed to determine several elements, there

was no fixed rule for combining the equations of condition in such a

manner as to obtain the necessary final equations; but one chose for

each element the observations most suitable to determine it. It was in

order to obviate these gropings that Legendre and Gauss concluded to add

the squares of the first members of the equations of condition, and to

render the sum a minimum, by varying each unknown element; by this means

is obtained directly as many final equations as there are elements. But

do the values determined by these equations merit the preference over

all those which may be obtained by other means? This question, the

calculus of probabilities alone was able to answer. I applied it, then,

to this subject, and obtained by a delicate analysis a rule which

includes the preceding method, and which adds to the advantage of

giving, by a regular process, the desired elements that of obtaining

them with the greatest show of evidence from the totality of

observations, and of determining the values which leave only the

smallest possible errors to be feared.

However, we have only an imperfect knowledge of the results obtained, as

long as the law of the errors of which they are susceptible is unknown;

we must be able to assign the probability that these errors are

contained within given limits, which amounts to determining that which I

have called the _weight_ of a result. Analysis leads to general and

simple formulæ for this purpose. I have applied this analysis to the

results of geodetic observations. The general problem consists in

determining the probabilities that the values of one or of several

linear functions of the errors of a very great number of observations

are contained within any limits.

The law of the possibility of the errors of observations introduces into

the expressions of these probabilities a constant, whose value seems to

require the knowledge of this law, which is almost always unknown.

Happily this constant can be determined from the observations.

In the investigation of astronomical elements it is given by the sum of

the squares of the differences between each observation and the

calculated one. The errors equally probable being proportional to the

square root of this sum, one can, by the comparison of these squares,

appreciate the relative exactitude of the different tables of the same

star. In geodetic operations these squares are replaced by the squares

of the errors of the sums observed of the three angles of each triangle.

The comparison of the squares of these errors will enable us to judge of

the relative precision of the instruments with which the angles have

been measured. By this comparison is seen the advantage of the repeating

circle over the instruments which it has replaced in geodesy.

There often exists in the observations many sources of errors: thus the

positions of the stars being determined by means of the meridian

telescope and of the circle, both susceptible of errors whose law of

probability ought not to be supposed the same, the elements that are

deduced from these positions are affected by these errors. The equations

of condition, which are made to obtain these elements, contain the

errors of each instrument and they have various coefficients. The most

advantageous system of factors by which these equations ought to be

multiplied respectively, in order to obtain, by the union of the

products, as many final equations as there are elements to be

determined, is no longer that of the coefficients of the elements in

each equation of condition. The analysis which I have used leads easily,

whatever the number of the sources of error may be, to the system of

factors which gives the most advantageous results, or those in which the

same error is less probable than in any other system. The same analysis

determines the laws of probability of the errors of these results. These

formulæ contain as many unknown constants as there are sources of error,

and they depend upon the laws of probability of these errors. It has

been seen that, in the case of a single source, this constant can be

determined by forming the sum of the squares of the residuals of each

equation of condition, when the values found for these elements have

been substituted. A similar process generally gives values of these

constants, whatever their number may be, which completes the application

of the calculus of probabilities to the results of observations.

I ought to make here an important remark. The small uncertainty that the

observations, when they are not numerous, leave in regard to the values

of the constants of which I have just spoken, renders a little uncertain

the probabilities determined by analysis. But it almost always suffices

to know if the probability, that the errors of the results obtained are

comprised within narrow limits, approaches closely to unity; and when it

is not, it suffices to know up to what point the observations should be

multiplied, in order to obtain a probability such that no reasonable

doubt remains in regard to the correctness of the results. The analytic

formulæ of probabilities satisfy perfectly this requirement; and in this

connection they may be viewed as the necessary complement of the

sciences, based upon a totality of observations susceptible of error.

They are likewise indispensable in solving a great number of problems in

the natural and moral sciences. The regular causes of phenomena are most

frequently either unknown, or too complicated to be submitted to

calculus; again, their action is often disturbed by accidental and

irregular causes; but its impression always remains in the events

produced by all these causes, and it leads to modifications which only a

long series of observations can determine. The analysis of probabilities

develops these modifications; it assigns the probability of their causes

and it indicates the means of continually increasing this probability.

Thus in the midst of the irregular causes which disturb the atmosphere,

the periodic changes of solar heat, from day to night, and from winter

to summer, produce in the pressure of this great fluid mass and in the

corresponding height of the barometer, the diurnal and annual

oscillations; and numerous barometric observations have revealed the

former with a probability at least equal to that of the facts which we

regard as certain. Thus it is again that the series of historical events

shows us the constant action of the great principles of ethics in the

midst of the passions and the various interests which disturb societies

in every way. It is remarkable that a science, which commenced with the

consideration of games of chance, should be elevated to the rank of the

most important subjects of human knowledge.

I have collected all these methods in my _Théorie analytique des

Probabilités_, in which I have proposed to expound in the most general

manner the principles and the analysis of the calculus of probabilities,

likewise the solutions of the most interesting and most difficult

problems which calculus presents.

It is seen in this essay that the theory of probabilities is at bottom

only common sense reduced to calculus; it makes us appreciate with

exactitude that which exact minds feel by a sort of instinct without

being able ofttimes to give a reason for it. It leaves no arbitrariness

in the choice of opinions and sides to be taken; and by its use can

always be determined the most advantageous choice. Thereby it

supplements most happily the ignorance and the weakness of the human

mind. If we consider the analytical methods to which this theory has

given birth; the truth of the principles which serve as a basis; the

fine and delicate logic which their employment in the solution of

problems requires; the establishments of public utility which rest upon

it; the extension which it has received and which it can still receive

by its application to the most important questions of natural philosophy

and the moral science; if we consider again that, even in the things

which cannot be submitted to calculus, it gives the surest hints which

can guide us in our judgments, and that it teaches us to avoid the

illusions which ofttimes confuse us, then we shall see that there is no

science more worthy of our meditations, and that no more useful one

could be incorporated in the system of public instruction.

A Philosophical Essay on Probabilities · 第 14 / 14 章