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The model dynamics are schematically represented in Figure 1 and the model parameters defined in Table 1.
Starting with an arbitrary initial species distribution (which have no influence on the stationary-state properties of the system), the model dynamics are defined by the following rules.
To begin to examine whether the model dynamics are preserved with other representations of ongoing activity, the simulations of Figs. 4 and 5A were repeated for other frequencies of Ca2+ elevation: 28 Hz, 14 Hz, and 2.8 Hz.
Moreover, the model dynamics are typically strongly influenced by the model parameters [ 3, 4].
(Note that for 0 < α ≤ 75, the model dynamics are indistinguishable from the ones shown in Figure 8(b) and are not shown).
The parameter ρ(1,4) is defined as (6) ρ (1, 4 ) − 1 = ∑ j = 1 4 p j ∑ i = j 4 ρ i − 1, and thus still depends on μ, but model dynamics are not very sensitive to μ.
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A representation of key elements and their linkages that form the basis for business model dynamics is established.
The model dynamics is investigated analytically and the results are compared for moderate mass ratios.
First, a nonlinear integral action that makes invariant a goal manifold defined by a reference model dynamics is developed.
The system model dynamics is derived and simulated in order to learn its essentials needed for designing the management and control architecture.
A key object in the model dynamics is a stable transient realized through a reproducible serial order of metastable states.
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