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| Tags: causal, inverse, metric, partial |
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From Osher Doctorow
Maybe I should illustrate part of the calculation for the proof of the last theorem. Consider: 1) P ' (A--B) = 1 + P(B) - P(A) = r P(A) for r 0 a real number and P(B) = P(A). We get: 2) 1 + P(B) = (r + 1)P(A) and solving for P(A): 3) P(A) = 1/(r+1) + P(B)/(r + 1) Now, P(A) = P(B) and P(A) .05 and P(A) .01, so since P(B) = 0 from the definition of probability, choosing r to be something like 1 or 2 would yield P(A) 1/2 or P(A) 1/3 respectively, which fails to make P(A) .05. If r were 20 or larger, however, things are O.K. For example, with r = 20, (3) becomes: 4) P(A) = (1/21) + P(B)/21 Now, 1/21 1/20 = .05, so this doesn't violate P(A) .05 provided P(B) is small enough and provided that P(A) 1/21. Actually, if we had chosen r = 19, things would have just failed because: 5) P(A) = 1/20 + P(B)/20 is violated by P(A) .05 = 1/20. But anything greater than 19, such as 19.1, would work with appropriately shorter intervals similar to the above. Now carry on (as the British say). In other words, continue. Osher Doctorow |
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