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by kgwgk
1905 days ago
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> The mean converges to zero with time. It doesn’t grow exponentially. t=0 mean(w) = 1
t=1 mean(w) = 1/2*1.5 + 1/2*0.6 = 1.05
t=2 mean(w) = 1/4*1.5*1.5 + 1/2*1.5*0.6 + 1/4*0.6*0.6 = 1.1025
....
t mean(w) = 1.05^t
Don’t you agree? |
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As for the proof of my theorem, By taking logarithms, the process becomes an additive random walk with negative drift (log 1.6 + log 0.5 < 0). This is well known to converge to negative infinity almost surely. After exponentiating to undo the logarithm, this is exactly the statement I made.
It does not matter how many test subjects there are ( as long as there’s finitely many) because, informally speaking , you can just wait for each of them to become irrevocably bankrupt in turn.