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Dynamical systems theory

Without immersing ourselves in mathematical rigor, we define a dynamical system - from a physicist s perspective - as being any physical system that evolves in time according to some well-defined rule. To be somewhat more specific, a general continuous dynamical system satisfies the following two properties  [Pg.168]

Its state is completely defined at all times by the values of N variables, a i(t), [Pg.168]

where Xi t) represent any physical quantity of interest (position, [Pg.168]

Its temporal evolution is specified by an autonomous system of N, possibly coupled, ordinary first-order differential equations  [Pg.168]

Once the initial state x(f = 0) of the system is specified, future states, x(t), are uniquely defined for all times t . Moreover, the uniqueness theorem of the solutions of ordinary differential equations guarantees that trajectories originating from different initial points never intersect. [Pg.168]


Chapter 4 covers much of the same ground as chapter 3 but from a more formal dynamical systems theory approach. The discrete CA world is examined in the context of what is known about the behavior of continuous dynamical systems, and a number of important methodological tools developed by dynamical systems theory (i.e. Lyapunov exponents, invariant measures, and various measures of entropy and... [Pg.18]

The decay of the spatial block entropy, which gives the amount of information contained in a block of N contiguous site values ai,...,aN needed to predict the value (Jn+i is considerably slower than [block-length), and is therefore indicative of very long and complex correlations we will come back to this point later in chapter 4, following our discussion of dynamical system theory. [Pg.83]

The exponent /3 decreases from 1.6 to 1.0 as the system size increases from N = 2 to N = 100. Kaneko suggests that this may result from an effective increase in the number cf possible pathways for the zigzag collapse, and thus that the change of 0 with size may be regarded as a path from the dynamical systems theory to statistical mechanical phase transition problems [kaneko89a]. [Pg.395]


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See also in sourсe #XX -- [ Pg.167 ]




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