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Effective suppressibility of chaos
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10.1063/1.4803521
/content/aip/journal/chaos/23/2/10.1063/1.4803521
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/2/10.1063/1.4803521
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

Chaotic attractor for the Duffing oscillator , with initial conditions .

Image of FIG. 2.
FIG. 2.

Chaotic parameter set for the Duffing oscillator in the parameter space. The color bar shows the value of the largest Lyapunov exponent, computed for a grid of 720 × 720 points, and using as initial condition . Both periodic (gray colored) and chaotic (non-gray colored) motions are displayed.

Image of FIG. 3.
FIG. 3.

(a) A suppressing line of eight pixels with an uncertainty in the measurement of the suppressing parameter of seven pixels. Two unsafe transitions are shown among all the possible. In this case, no matter which black pixel we are in, no transition to any white pixel guarantees suppression, since the distance to the closest black pixel is always smaller than the uncertainty. (b) Same suppressing line with an uncertainty of one pixel. Now only transitions to white pixels one pixel away from any black one are unsafe. (c) The suppressing line with an uncertainty of a little less than half a pixel, for which all transitions are safe.

Image of FIG. 4.
FIG. 4.

(a) Chaotic attractor for the Duffing oscillator . (b) Same chaotic attractor, though letting the driving amplitude fluctuate randomly in the interval [6.76, 6.84], what corresponds to an uncertainty . This attractor looks a bit thicker, but preserves the shape.

Image of FIG. 5.
FIG. 5.

(a) A white pixel has its center in a periodic window. (b) A white pixel whose center lands in the beginning of a period doubling cascade leading to a chaotic attractor. (c) A zoom in a white pixel containing plenty of black pixels.

Image of FIG. 6.
FIG. 6.

A suppressing line with unaccessible regions due to precision limitations in the measurement of a parameter denoted by question marks. Pixels at a distance to the boundary smaller than the uncertainty in the measurement of the suppressing parameter are marked in orange. Transitions involving these pixels are unaccessible.

Image of FIG. 7.
FIG. 7.

Suppression parameter set for in the parameter space, with suppressing parameter , uncertainty and , where is the Heavyside function. This set shows all the safe chaotic events for which chaos can be suppressed, and which ones offer better possibilities of being suppressed, according to the conditions imposed by . It is obtained by computing the suppressibility for every safe black pixels () and assigning each chaotic event a color depending on its value. The color bar goes from cold colors to hot ones, corresponding, respectively, to the lower (1) and higher (56) values of the suppressibility measure.

Image of FIG. 8.
FIG. 8.

(a) First, second, and third order transitions in a suppressing line. Since longer transitions contribute less or equal than shorter ones, we have . This explains the monotonic decreasing character of . (b) Two suppressing lines having the same total suppressibility but different number of black pixels or chaoticity. Note that .

Image of FIG. 9.
FIG. 9.

A plot of the total suppressibility χ (black line) together with chaoticity κ (red line). The former reaches its maximum for , where chaos is better spread. The more alternation of chaotic and periodic events there is, the higher the total suppressibility. This implies that the closer the chaoticity is to 0.5, the higher the total suppressibility. In this case, chaoticity reaches a maximum close to 0.4, near the value of the damping for which the maximum total suppressibility is obtained. For very high values of the damping, mainly periodic events appear, so there is little chaos to be suppressed and either χ or κ take low values.

Image of FIG. 10.
FIG. 10.

(a) Chaotic parameter set for in the parameter space with suppressing parameter , uncertainty and . Unsafe regions due to uncertainty are colored orange. The thin horizontal line represents the value of the damping for which a maximum total suppressibility is obtained. (b) The set of the total accessible transitions for that maximum. The plot displays transitions involving different values of the suppressing parameter . In the axis, the values of the forcing for the initial state indicated with the superscript , while in the axis the values of the forcing for the final state in the transition, denoted by . If the starting pixel corresponds to chaotic () motion and the transition leads to periodic () regime, the point is colored black. Otherwise the transitions are left uncolored. Note the great alternation of white and black.

Image of FIG. 11.
FIG. 11.

(a) Chaotic parameter set in space for ten globally coupled Hénon maps. Note the dusty regions, where chaotic (black) and periodic (white) asymptotic motion are very interspersed. (b) Same chaotic parameter set after the application of the algorithm. Spurious white pixels are marked in red.

Image of FIG. 12.
FIG. 12.

(a) Cleaned chaotic parameter set in the space for ten globally coupled Hénon maps. Unaccessible regions due to spurious pixels are marked in red, while those due to a lack of precision in the measurement of a parameter are marked in orange. (b) Total suppressibility χ in black together with chaoticity κ in red.

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/content/aip/journal/chaos/23/2/10.1063/1.4803521
2013-05-08
2014-04-16
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Effective suppressibility of chaos
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/2/10.1063/1.4803521
10.1063/1.4803521
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