The mathematical study of chance. Its founding episode is a correspondence in the summer of 1654 between Blaise Pascal and Pierre de Fermat, prompted by gambling questions already partly studied by Cardano, Pacioli and Tartaglia, most famously the problem of points, how to divide the stake of an interrupted game fairly between two players given the score at the point of interruption. Fermat solved it by enumerating every possible way the game could still be played out; Pascal introduced what became the notion of expected value; together they could not extend their solution cleanly to three or more players, but their letters are traditionally credited as laying the foundation of probability theory. The subject waited until 1933 for a fully rigorous axiomatic footing, when Andrey Kolmogorov placed it within measure theory using three axioms comparable, in his own description, to Euclid's treatment of geometry: that a probability is never negative, that the probability of every possible outcome together is one, and that the probabilities of mutually exclusive outcomes add.
Facts
Origin Year1654 marks the Pascal-Fermat correspondence on the problem of points, the founding episode; Andrey Kolmogorov's rigorous axiomatic foundation, placing probability within measure theory, followed in 1933 and is dated separately in the description. Connections
Associated With
Bayes' Theorem, Theorems The theorem is a rule for updating a probability estimate given new evidence, so its subject is the probability concept itself.
Additional Source MacTutor History of Mathematics ArchiveBiography of Thomas Bayes
The theorem describes how sums of random variables converge in distribution, a foundational result of probability theory.
Additional Source MacTutor History of Mathematics ArchiveChronology 1810-1820
Probability's own entity-description: the subject "waited until 1933 for a fully rigorous axiomatic footing, when Andrey Kolmogorov placed it within measure theory using three axioms". Already In Branch probability-and-statistics; no measure-theory tie before this write.
Source MacTutor History of Mathematics Archive
Source Random Variable (Wikipedia)
In Branch
Sources
1. MacTutor History of Mathematics Archive
University of St Andrews, School of Mathematics and Statisticshttps://mathshistory.st-andrews.ac.uk/Biographies/Pascal/
In correspondence with Fermat he laid the foundation for the theory of probability. This correspondence consisted of five letters and occurred in the summer of 1654.
Associated With: Bayes' Theorem, Biography of Thomas Bayes
Bayes set out his theory of probability in Essay towards solving a problem in the doctrine of chances published in the Philosophical Transactions of the Royal Society of London in 1764.
Associated With: Central Limit Theorem, Chronology 1810-1820
Laplace publishes the two volumes of Theorie Analytique des probabilites (Analytical Theory of Probabilities).
View the Source Random Variable (Wikipedia)
Wikimedia FoundationAssociated With: Random Variable, Lead section, measure-theory paragraphQuote, Associated With: Random Variable, Lead section, measure-theory paragraph
In the formal mathematical language of measure theory, a random variable is defined as a measurable function from a probability measure space (called the sample space) to a measurable space.
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