Probability of 2 identical events

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My professor said that probability of 2 identical events in a very short amount of time (dt converges to 0) is 0. However, I did not agree with him about this. Is there a proof for that assertion? Intuition and thinking theoretically is a good thing, but it cannot be true if it is not supported by theorem which must be proved.

I tried to prove this theorem by letting the density function of an event is f(x,t). Then taking derivative, but yields no result.

Thank you very much for your help !!!

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You might be referring to Poisson processes. In these models, when the intensity is $\lambda$, the probability that at least one event occurs in the time interval $(0,t)$ is $p_1(t)=1-\mathrm e^{-\lambda t}$. Thus, $p_1(t)\to0$ when $t\to0$.

However, what you have in mind might be the following. The probability that at least two events occur in the time interval $(0,t)$ is $p_2(t)=1-\mathrm e^{-\lambda t}-\lambda t\mathrm e^{-\lambda t}$. Thus, $p_2(t)\to0$ when $t\to0$ (this was obvious from the start since $p_2(t)\leqslant p_1(t)$) but, more precisely, $p_2(t)\ll p_1(t)$ since $p_1(t)\sim\lambda t$ and $p_2(t)\sim\frac12\lambda^2 t^2$ when $t\to0$.

In this sense, on a short time interval, two or more events are infinitely less likely than one event.