By integrating 4 lines of thoughts: symmetry breaking originally advanced by
Anderson, bifurcation from nonlinear dynamics, Landau's theory of phase
transition, and the mechanism of emergent rare events studied by Kramers, we
introduce a possible framework for understanding mesoscopic dynamics that links
(i) fast lower level microscopic motions, (ii) movements within each basin at
the mid-level, and (iii) higher-level rare transitions between neighboring
basins, which have rates that decrease exponentially with the size of the
system. In this mesoscopic framework, multiple attractors arise as emergent
properties of the nonlinear systems. The interplay between the stochasticity
and nonlinearity leads to successive jump-like transitions among different
basins. We argue each transition is a dynamic symmetry breaking, with the
potential of exhibiting Thom-Zeeman catastrophe as well as phase transition
with the breakdown of ergodicity (e.g., cell differentiation). The slow-time
dynamics of the nonlinear mesoscopic system is not deterministic, rather it is
a discrete stochastic jump process. The existence of these discrete states and
the Markov transitions among them are both emergent phenomena. This emergent
stochastic jump dynamics then serves as the stochastic element for the
nonlinear dynamics of a higher level aggregates on an even larger spatial and
slower time scales (e.g., evolution). This description captures the
hierarchical structure outlined by Anderson and illustrates two distinct types
of limit of a mesoscopic dynamics: A long-time ensemble thermodynamics in terms
of time t tending infinity followed by the size of the system N tending
infinity, and a short-time trajectory steady state with N tending infinity
followed by t tending infinity. With these limits, symmetry breaking and cusp
catastrophe are two perspectives of the same mesoscopic system on different
time scales.Comment: 30 pages, 3 figures, 1 tabl