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The Descriptive Complexity of Brownian Motion

✍ Scribed by Willem L. Fouché


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
205 KB
Volume
155
Category
Article
ISSN
0001-8708

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✦ Synopsis


A continuous function x on the unit interval is a generic Brownian motion when every probabilistic event which holds almost surely with respect to the Wiener measure is reflected in x, provided that the event has a suitably effective description. We show that a generic one-dimensional Brownian motion can be computed from an infinite binary string which is complex in the sense of Kolmogorov Chaitin. Conversely, one can construct a Kolmogorov Chaitin random string from the values at the rational numbers of a generic Brownian motion. In this way, we construct a recursive isomorphism between encoded versions of generic Brownian motions and Kolmogorov Chaitin random reals.


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