Bimodal quasi-stationary states arise for a broad class of initial distributions if the value of the response probability is small and an individual’s production degree is upregulated by the sense-and-response mechanism through quorum sensing ( for some ). Depicted is the temporal evolution of the histograms of production degrees (normalized values) as in Figure 2 of the main text. The monostable response function was chosen (see Figure 1B). (A, B) . Initially, the population consists of mainly non-producers (in (A) initial distribution i.i.d. and in (B) initial distribution i.i.d.). Due to the balance of fitness differences and sense-and-response through quorum sensing, the population splits into a heterogeneous population with producers and non-producers coexisting for long times. (C) . If the initial distribution of production degrees is centered around high production degrees (initial distribution i.i.d.), the population may still evolve in time into a heterogeneous quasi-stationary state. However, the peak at the low-producing degree is typically located away from 0, that is, . These exemplary numerical results (A–C) are confirmed by the results of our mean-field theory: heterogeneous stationary distributions are the attractor of the mean-field dynamics (autoinducer equation (1) in the main text) for a broad range of initial distributions if conditions (i) and (ii) are fulfilled (see main text). Note that ‘i.i.d.’ abbreviates ‘independent and identically distributed’. Parameters: selection strength and population size .
DOI:
http://dx.doi.org/10.7554/eLife.25773.013