dipping into pop-dyn
Differential equation for population dynamic without and with carrying capacity are discussed here in brief.
b-d rate flows
Suppose population size at time $t$ is define as $N$. Rate flows of birth $B$ and death $D$ can be defined as 1
$$\tag{1} B = b N $$
and
$$\tag{2} D = d N $$
with $b$ adan $d$ are per-capita birth and date rates, respectively.
n change
Without considering carrying capacity, population changes only due to two basic flows births $B$ and deaths $D$, where the former add individuals to the population and the later remove individuals from the population, which gives 2
$$\tag{3} \frac{dN}{dt} = B - D, $$
which can be simplified further into
$$\tag{4} \frac{dN}{dt} = (b-d) N. $$
It will lead to exponential population growth when $b > d$. Usually, net growth rate $r = b - d$ is defined to simplify previous equation.
carrying capacity
In order to limit the growth of population $N$ to a saturation value, e.g. $N_\infty$, carrying capacity $K$ is introduced and it modifies previous equation into 3
$$\tag{5} \frac{dN}{dt} = rN \left( 1 - \frac{N}{K} \right), $$
which makes growth exponential when $N « K$, net growth tends to zero when $N \rightarrow K$, and growth becomes negative when $N > K$.
refs
GPT-5.2, “Population Dynamics Without Carrying Capacity”, ChatGPT, 21 Feb 2026, url https://chatgpt.com/s/t_69997c50a6b48191999d375819a3728f [20260221]. ↩︎
GPT-5.2, “Population Change Dynamics”, ChatGPT, 21 Feb 2026, url https://chatgpt.com/share/69998200-23a8-800a-a415-a19224fc378b [20260221]. ↩︎
GTP-5.2, “Population Dynamics Models”, ChatGTP, 21 Feb 2026, url https://chatgpt.com/share/69998898-ba24-800a-9922-4e4e7831f533 [20260221]. ↩︎