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There are rich emergent phase behaviors in non-equilibrium active systems.Flocking and clustering are two representative dynamic phases. The relationshipbetween these two phases is still unclear. In the paper, we numericallyinvestigate the evolution of flocking and clustering in a system consisting ofself-propelled particles with active reorientation. We consider the interplaybetween flocking and clustering phases under different initial states, andobserve an unstable domain in order parameters phase diagrams due to initialstates even in the absence of an explicit attraction. This point is differentfrom the previous finding that active angular fluctuations lead to an earlierbreakdown of collective motion and the emergence of a new bi-stable regime inthe aligned active particles [R.Grossmann et al, New J. Phys.073033,14 (2012)].In particular, we find that the existence of bi-stable states is due to thediversity of dynamic paths arising from different initial states. By increasing(decreasing) the initial degree of ordering, the bi-stable state can be shiftedto a more ordered flocking (disordered clustering) state. These resultsenlighten us pave the way to manipulate emergent behaviors and collectivemotions of active system.

Dynamic path dependence of phase behaviors in dense active system