Probabilistic and deterministic Descriptions of macroscopic phenomena have coexisted for centuries. During the period 1650–1750, for example, Newton developed his calculus of determinism for dynamics while the Bernoullis simultaneously constructed their calculus of probability for games of chance and various other many‐body problems. In retrospect, it would appear strange indeed that no major confrontation ever arose between these seemingly contradictory world views were it not for the remarkable success of Laplace in elevating Newtonian determinism to the level of dogma in the scientific faith. Thereafter, probabilitistic descriptions of classical systems were regarded as no more than useful conveniences to be invoked when, for one reason or another, the deterministic equations of motion were difficult or impossible to solve exactly. Moreover, these probabilistic descriptions were presumed derivable from the underlying determinism, although no one ever indicated exactly how this feat was to be accomplished.
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April 1983
April 01 1983
How random is a coin toss? Available to Purchase
In examining the differences between orderly and chaotic behavior in the solutions of nonlinear dynamical problems, we are led to explore algorithmic complexity theory, the computability of numbers and the measurability of the continuum.
Joseph Ford
Joseph Ford
Georgia Institute of Technology
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Joseph Ford
Georgia Institute of Technology
Physics Today 36 (4), 40–47 (1983);
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Joseph Ford; How random is a coin toss?. Physics Today 1 April 1983; 36 (4): 40–47. https://doi.org/10.1063/1.2915570
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