Brownian motion, obstacles, and random media by Alain-Sol Sznitman PDF

By Alain-Sol Sznitman

ISBN-10: 3540645543

ISBN-13: 9783540645542

Presents an account of the non-specialist of the circle of rules, effects & suggestions, which grew out within the examine of Brownian movement & random stumbling blocks. DLC: Brownian movement approaches.

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Additional info for Brownian motion, obstacles, and random media

Example text

1 (the detections in individual cycles are mutually independent). Find the probability that on 10 scanning cycles the object will be detected. Solution. 652. 10. An installation consists of seven parts (elements). 05. If only one part is faulty, the operation of the installation will break down. Find the probability of this event. Solution. 305. That's a nice thing! 305, that is. it is greater than 30%! It goes without saying that we have an emergency. We must quickly improve the reliability (the probability of the good working order) of every part!

652. 10. An installation consists of seven parts (elements). 05. If only one part is faulty, the operation of the installation will break down. Find the probability of this event. Solution. 305. That's a nice thing! 305, that is. it is greater than 30%! It goes without saying that we have an emergency. We must quickly improve the reliability (the probability of the good working order) of every part! 05. If we inattentively look at this figure we could bear with it and declare the "damage of the part" to be a practically impossible event (as we did several times when we considered the predictions of the results of tossing coins).

The words "at least" (or "if only" which is the same) should at once alert us: wouldn't it be better to shift to the contrary event? Indeed, event C is very complex and breaks down into such a tremendous number of variants that the very thought of considering them all makes our flesh creep. As to the opposite event, C- all the persons have different birthdays, the number of alternatives for it is much more modest, and its probability can be easily calculated. Let us demonstrate this. We represent event C as a combination of n events.

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Brownian motion, obstacles, and random media by Alain-Sol Sznitman


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