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Lastly, imagine the second dish (green trajectory) with a starting population of 100 bacteria identical to the first dish (blue trajectory).

[Redrawn from [35]] Fig. 15 Phase plane plots of the activity shown in Fig. 14 showing the vector field (blue) and nullclines (dot{E}=0) (magenta) and (dot{I}=0) (red), of Eq. (1) and plots of a deterministic (black) and a stochastic (green) trajectory starting from identical initial conditions.

To illustrate, Fig. 5 provides simulations for the cases of row 1 (solid blue trajectory approaching E*) and row 2 (dash green trajectory approaching E B 3) in Table 1, and row 2 (dotted red trajectory approaching E B 1) in Table 2.

In this case both equilibrium points (red trajectories) and (green trajectories) are stable.

Figure 8 Risk-prone and risk-averse searches (red and green trajectories).

The orange, red and green trajectories show escaping, Pedersen (high-angle) and low-angle rays, respectively.

One can see that the equilibrium point (red trajectories) is stable and the equilibrium point (green trajectories) is unstable.

The black and green trajectories on (S^{s}) move away from F all the way to infinity.

Figure 8 (top left and right) shows risk-prone (red) and risk-averse (green) trajectories produced by human demonstrations and by the greedy search.

Orange and green trajectories on (S^{a}), which lie in the funnel region between (xi _{s}) and F, move to (S^{s}) through the folded node in finite time.

Note that the green trajectories (higher ones) in both panels refer to the same cohort and same model, i.e. early baby boomer in joint model.