Math 2.0

Dynamical systems and ergodic theory Definition

Coupled map lattice

Builds on Dynamical systemIterated function

Definition

Let N≥3N \ge 3, let f ⁣:ℝ→ℝf \colon \R \to \R be a map, and let ε∈[0,1]\varepsilon \in [0, 1] be a coupling strength. Index the sites by i∈ℤ/Nℤi \in \Z / N\Z. The diffusively coupled map lattice with local map ff is the discrete-time dynamical system on ℝN\R^{N} given by xn+1=F(xn)x_{n+1} = F(x_n), where F(x)i=(1−ε)f(xi)+ε2(f(xi−1)+f(xi+1)),i∈ℤ/Nℤ.F(x)_i = (1 - \varepsilon) f(x_i) + \frac{\varepsilon}{2} \big( f(x_{i-1}) + f(x_{i+1}) \big), \qquad i \in \Z / N\Z.

Remarks

The sites form a ring, which is the usual periodic boundary condition; the same rule makes sense on ℤ\Z or on higher-dimensional lattices, with the average over all nearest neighbours. More general coupled map lattices allow other local maps and other coupling rules.

Example: if ε=0\varepsilon = 0, then F(x)i=f(xi)F(x)_i = f(x_i), so each site evolves by iterating ff on its own. If all sites start equal, xi=sx_i = s for all ii, then F(x)i=(1−ε)f(s)+εf(s)=f(s)F(x)_i = (1 - \varepsilon) f(s) + \varepsilon f(s) = f(s) for all ii. So the spatially uniform states form an invariant set on which the lattice reduces to the single map ff.

Non-example: a cellular automaton has the same discrete space and time. But its states take values in a finite set, not in ℝ\R, so it is not a coupled map lattice.

A common choice is the logistic map f(x)=rx(1−x)f(x) = r x (1 - x) or the quadratic map f(x)=1−ax2f(x) = 1 - a x^2, with ε\varepsilon and the parameter of ff as the two control parameters.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Coupled_map_lattice
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DefinesCoupled map lattice
UsesDynamical system, Iterated function

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