Exponential Distribution and radio active decay

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SUMMARY

The discussion focuses on the application of exponential distribution in radioactive decay, specifically using a half-life of 1 year and a decay constant (λ) of ln(2). Participants calculated the expected time for 1024 atoms to decay to one remaining atom, concluding it takes 10 years. Additionally, they explored the probability of none of the 1024 atoms surviving after 10 years, arriving at the result P(Y=0) = e-1, approximately 36%, by modeling the scenario with a Poisson distribution.

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Typical radio active decay question

Half time = 1 year
λ = ln 2 here

Q 1: if we have 1024 atoms at t=0, what is the time at which the expected number remaining is one.

Easy, I get 10 years

Q 2: The chance that in fact none of the 1024 atoms remains after the time calculated in c:

it should be P(T<10 years) = 1 - P(T>10 years) but I get different answers.

The answer given is e-1

any hints please? I know it's easy, I'm just missing something

Thanks
 
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I guess we can set up a new rv Y = number of surviving atoms.
p = 1/1024, all indep hence follows a Poisson dist. with parameter (1)

P(Y=0) = e-1 ≈ 36%
 
Another way of looking at it: each atom survives one year with probability 1/2, so it survives for 10 years with probability 1/2^10 = 1/1024, and thus the probability that none of the 1024 survive for 1024 years is (1-1/1024)^1024 or approximately exp(-1).
 
Cool
 

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