Classical Poissonian Process: Time-Dependent ω

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The classical Poissonian process describes a scenario where an event occurs with a probability proportional to a small time interval, leading to the decay probability P(t) = exp(-ωt). When the decay rate ω is time-dependent, the probability function changes accordingly. The differential equation governing this scenario is P'(t) = -ω(t)P(t). The general solution for the time-dependent case is P(t) = exp(-∫₀ᵗ ω(u) du). This highlights how varying decay rates influence the overall probability of an event not occurring over time.
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I think the classical Poissonian process is where you have something, which in a time dt has a probability ωdt. Then one can show quite easily that the probability that the "something" has not yet decayed goes as P(t)=exp(-ωt), because it obeys a differential equation with the given solution.
However, what does P(t) look like if ω is time dependent?
 
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Just like before, you have to solve the differential equation P'(t) = -\omega(t)P(t). The general solution is P(t) = \exp\left(-\int_0^t \omega(u)\,du\right).
 
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