Math 2.0

Dynamical systems and ergodic theory Definition

Butterfly effect

Builds on Metric spaceContinuous functionIterated function

Definition

Let (X,d)(X, d) be a metric space and let f ⁣:X→Xf \colon X \to X be a continuous map, with iterates fnf^n. The map ff has sensitive dependence on initial conditions, the butterfly effect, if there is a constant δ>0\delta > 0 with the following property. For every x∈Xx \in X and every ε>0\varepsilon > 0, there are a point y∈Xy \in X with d(x,y)<εd(x, y) < \varepsilon and an integer n≥0n \ge 0 with d(fn(x),fn(y))>δd(f^n(x), f^n(y)) > \delta.

Remarks

The constant δ\delta is the same for all xx; the point yy and the time nn depend on xx and ε\varepsilon. For a flow (φt)(\varphi_t) one asks instead for a time t≥0t \ge 0 with d(φt(x),φt(y))>δd(\varphi_t(x), \varphi_t(y)) > \delta. Sensitive dependence is one of the conditions in Devaney's definition of chaos.

Example: the doubling map f(x)=2x mod 1f(x) = 2x \bmod 1 on the circle ℝ/ℤ\R / \Z, with the distance dd to the nearest integer of the difference. Take δ=1/8\delta = 1/8. Given xx and ε>0\varepsilon > 0, choose nn with 2−n<ε2^{-n} < \varepsilon and let y=x+2−n−2y = x + 2^{-n-2}. Then d(x,y)<εd(x, y) < \varepsilon, and fn(y)−fn(x)=1/4 mod 1f^n(y) - f^n(x) = 1/4 \bmod 1, so d(fn(x),fn(y))=1/4>δd(f^n(x), f^n(y)) = 1/4 > \delta.

Non-example: the rotation f(x)=x+α mod 1f(x) = x + \alpha \bmod 1 on ℝ/ℤ\R / \Z is an isometry, so d(fn(x),fn(y))=d(x,y)d(f^n(x), f^n(y)) = d(x, y) for all nn. Points closer than δ\delta stay closer than δ\delta forever, so no δ>0\delta > 0 works.

Reading path

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  1. Continuous function concept
  2. Iterated function concept
  3. Metric space concept
  4. Butterfly effect definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Butterfly_effect
About this page
TagPP3XTZWHNH
URIm2://PP3XTZWHNH
Kinddefinition
WritingW0 stub
MSC37D45, 37B02, 37N10
DefinesButterfly effect
UsesMetric space, Continuous function, Iterated function

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