The behavior of the two epidemics is different depending on the value of α. For α=0.05, the epidemic is relatively small with a maximum number of infected individuals of 1000000. On the other hand, for α=0.000001, the epidemic is much larger with a maximum number of infected individuals of 30000000.
First, let's analyze the equation that represents the rate of change of susceptible individuals, ds/dt = −αSI+0.0003S. The term -αSI represents the rate at which susceptible individuals become infected, and the term 0.0003S represents the rate at which susceptible individuals are born. Thus, this equation takes into account both the infection rate and the birth rate of susceptible individuals.
Next, let's analyze the equation that represents the rate of change of infected individuals, di/dt = αSI−0.1I. The term αSI represents the rate at which susceptible individuals become infected, and the term -0.1I represents the rate at which infected individuals die. Thus, this equation takes into account both the infection rate and the mortality rate of infected individuals.
Now, let's consider the behavior of the epidemics for different values of α.
a. For α=0.05, the phase portrait can be plotted by finding the nullclines and equilibrium solutions. The nullcline for ds/dt is given by ds/dt=0, which is S=0 or I=1000000. The nullcline for di/dt is given by di/dt=0, which is S=0 or I=0. The equilibrium solutions can be found by setting both ds/dt and di/dt to 0, which gives S=0 and I=1000000. Thus, the phase portrait consists of two equilibrium points, one at (0, 1000000) and the other at (0, 0).
When S(0)=1000 and I(0)=1, the solution curve will initially move away from the equilibrium point at (0, 0) and towards the equilibrium point at (0, 1000000). As t→∞, the solution curve will approach the equilibrium point at (0, 1000000). This means that the number of susceptible individuals will decrease to 0, while the number of infected individuals will increase to 1000000, resulting in an epidemic.
b. For α=0.000001, the phase portrait can be plotted in a similar manner as in part a. The nullcline for ds/dt is given by ds/dt=0, which is S=0 or I=30000000. The nullcline for di/dt is given by di/dt=0, which is S=0 or I=0. The equilibrium solutions can be found by setting both ds/dt and di/dt to 0, which gives S=0 and I=30000000. Thus, the phase portrait consists of two equilibrium points, one at (0, 30000000) and the other at (0, 0).
When S(0)=30000 and I(0)=1, the solution curve will initially move away from the equilibrium point at (0, 0) and towards the equilibrium point at (0, 30000000). As t→∞, the solution curve will approach the equilibrium point at (0, 30000000). This means that the number of susceptible individuals will decrease to 0, while the number of infected individuals will increase to 30000000, resulting in a much larger epidemic compared to the previous case.
c. From the analysis of the phase portraits, we can conclude that the behavior of the two epidemics is different depending on the value of α. For α=0.05, the epidemic is relatively small with a maximum number of infected individuals of 1000000. On the other hand, for α=0.000001, the epidemic is much larger with a maximum number of infected individuals of 30000000. This shows that the value of α, which represents the relative infectivity of the disease, has a significant impact on the behavior and severity of the epidemic.