I am reading a book where the author tries to derive the density function of a exponential variable by the following form:
Suppose that in a short interval of time $\Delta t$ there is a chance $\lambda \Delta t$ that a event will occur. assuming $\Delta t$ is very small, the chance of more than one event will occur is negligible so that the chance that no event occurs is $(1-\lambda \Delta t)$. It will be assumed that the chance of an event occurring in a short time does not depend on how many events have already occurred.
Is we write $F(t)$ for te probability that no event occurs before time $t$, then the probability that no event occurs before time $F(t+\Delta > t)$ if the probability that no event occurs before time $t$ multiplied by the probability that no event occurs between time $t$ and time $(t > + \Delta t)$; in symbols ,
$$F(t + \Delta t)= F(t)[1-\lambda \Delta t]$$
$$\frac{F(t + \Delta t) -F(t)}{\Delta t}= -\lambda$$
The author then goes on to use the definition of derivative to conclude the prove, which I fully understand. My problem is with the last two equations. For me there is some error since if we isolate $\lambda$ in the first equation we get
$$\frac{F(t + \Delta t) -F(t)}{F(t)\Delta t}= -\lambda$$
Can someone enlighten me where is my mistake?