After 241 iterations the original picture reappears, unchanged! More importantly, the set of all pixels, the whole portrait, was transformed by the distortion mechanism. A Scientific American article on chaos, see Crutchfield et al. A painting of Henri Poincare, or rather a digitized version of it, is stretched and cut to produce a mildly distorted image of Poincare. After a dozen repetitions nothing seems to be left of the original portrait. (1986), illus trates a very persuasive example of recurrence. Miraculously, structured images appear briefly as we continue to apply the distortion procedure to successive images. The methods in this book are geared towards being applicable to the asymp totics of such transformation processes. The transformations form a semigroup in a natural way; we want to investigate the long-term behavior of random elements of this semigroup. In this exam ple the transformation seems to have been a reversible one since the original was faithfully recreated. The same procedure is applied to the distorted image and the process is repeated over and over again on the successively more and more blurred images. It is not very farfetched to introduce a certain amount of randomness and irreversibility in the above example. Think of a random miscoloring of some pixels or of inadvertently giving a pixel the color of its neighbor. Apparently the pixels of the Poincare portrait were moving about in accor dance with a strictly deterministic rule.
Books > Mathematics
Probability Measures On Semigroups: Convolution Products, Random Walks And Random Matrices
Specifications of Probability Measures On Semigroups: Convolution Products, Random Walks And Random Matrices | |
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Category | Médias > Livres |
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