I'm studying a paper called "Optimization based on bacterial chemotaxis". As it can be understood from its name, it has proposed an optimization algorithm based on the reaction of a bacterium toward its environment. The bacterium tends to go towards chemoattractants and stay away from repellents. The path of the bacterium consists of a sequence of straight-line trajectories that each of them has a different direction and duration.
In order to calculate the duration of each trajectory (denoted by τ), they have used an exponential probability density function like this:
$$P(X=τ) = 1/T e^{-τ/T}$$
where for $f_pr / l_pr >= 0$, $T=T_0$ and for $f_pr / l_pr < 0$, $T=T_0 (1+b|f_pr / l_pr|)$
I'm new to exponential distribution, as far as I know the formula for the exponential distribution is:
$P(X>x) = e^{-\lambda x}$ and $P(X<x) = 1-e^{-\lambda x}$
and the probability of the value of $P(X= a.constant.number)$ is equal to $0$, isn't it? If so, what is the meaning of the presented formula in the paper?
My second question is that: according to what I stated about the paper, does $T$ here denote the mean duration of the trajectories up to this moment?