No one today calls into question the great importance of probability theory to explain the physical mechanisms, but we are all aware of the contrast between the determinism of equations dynamics - often raised to the rank ambiguous and absurd "laws of nature" - and the mere estimate of Chance of random events. Heisenberg, Gödel, Prigogine: these distinguished scholars, and many others have clarified that statistics is an essential method of investigation to understand phenomena and processes of nature and life. However there remains a sense of discomfort, and - in some cases - the disagreement with the intuition when you try to read the nature only with these instruments.
The ideas arising from deterministic chaos come help us to find a convergence of concepts that might seem very distant from each other:
Chaos is apparent randomness with a case purely deterministic. It is behavior with no rules governed entirely by the rules. The chaos lives in the shadows zone between order and randomness. [...] In some ways, in chaos there is a genuine randomness. With some approximation, one can say that the rules of a chaotic system attach microscopic randomness of the initial conditions and magnify it making it evident in its large scale behaviour. The debate is made more difficult by a philosophical problem: does true randomness really exist?
Ian Stewart: What shape is a snowflake? (translated from Italian).
1 comment:
Your blog is very interesting! The first application a computer-scientist can think of, when told about sensitivity to initial conditions and chaos, is a pseudo-random number generator!
Post a Comment