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W arsaw U niversity ofTechnology Faculty ofPhysics Koszykowa 75, PL-00-662 Warsaw, Poland Tel:(48)22 6607267;fax:(48)22 6282171; http://w w w.if.pw .edu.pl c Resonance:New Horizons in Physics & Engineering, k Institute for the Physics of Complex Systems, Dresden 4-7 October Andrzej Krawiecki, Andrzej Sukiennicki Andrzej Krawiecki, Andrzej Sukiennicki a , , Robert A. Kosiński Robert A. Kosiński b , and Thomas Stemler , and Thomas Stemler c Controlling spatiotemporal Controlling spatiotemporal stochastic resonance by time stochastic resonance by time delays delays artment of Solid State Physics, University of Łódź, Pomorska 149/153, 90-283 tral Institute for Labor Protection, Czerniakowska 16, 00-701 Warsaw, Poland or the Solid State Physics, Technical University Darmstadt, Hochschulstrasse Germany

Stochastic Resonance:New Horizons in Physics & Engineering, Max Planck Institute for the Physics of Complex Systems, Dresden 4-7 October 2004 Andrzej Krawiecki,

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Warsaw University of TechnologyFaculty of Physics

Koszykowa 75, PL-00-662 Warsaw, PolandTel: (48) 22 6607267; fax: (48) 22 6282171; http://www.if.pw.edu.pl

Stochastic Resonance:New Horizons in Physics & Engineering, Max Planck Institute for the Physics of Complex Systems, Dresden 4-7 October 2004

Andrzej Krawiecki, Andrzej Sukiennicki Andrzej Krawiecki, Andrzej Sukiennicki aa,,Robert A. Kosiński Robert A. Kosiński bb, and Thomas Stemler , and Thomas Stemler cc

Controlling spatiotemporal stochastic Controlling spatiotemporal stochastic resonance by time delays resonance by time delays

a also at Department of Solid State Physics, University of Łódź, Pomorska 149/153, 90-283 Łódź, Polandb also at Central Institute for Labor Protection, Czerniakowska 16, 00-701 Warsaw, Polandc Institute for the Solid State Physics, Technical University Darmstadt, Hochschulstrasse 6, 64289 Darmstadt, Germany

Stochastic resonance in spatially extended systems

In spatially extended systems of coupled stochastic units, each exhibiting SR, driven by uncorrelated noises and a common periodic signal, the maximum SNR from a single element can be enhanced for proper coupling, due to noise-assisted spatiotemporal synchronization between the periodic signal and the system (array-enhanced SR) [e.g., J.F. Lindner et al., Phys. Rev. Lett. 75, 3 (1995)].

SR in spatially extended systems can be observed also for signals periodic only in space (without time dependence). In this case, periodic spatial structures are best visible in the system response for optimum noise intensity [e.g., Z. Néda et al., Phys. Rev. E 60, R3463 (1999); J.M.G. Vilar, and J.M. Rubí, Physica A 277, 327 (2000)].

The phenomenon of SR was also observed for spatiotemporal periodic signals, e.g., in the Ising model with thermal noise, driven by a plane wave [L. Schimansky-Geier, and U. Siewert, in Lecture Notes in Physics, ed. L. Schimansky-Geier, T. Pöschel, vol. 484, p. 245 (Springer, Germany, 1997)]. The enhancement of SR due to coupling is also observed, however, the strength of the effect is weaker than in the case of spatially uniform, periodic in time signal.

Stochastic resonance with spatiotemporal signal.Example: a chain of coupled threshold elements.

A chain of threshold elements is considered with length N, threshold b, coupling constant w, with the spatiotemporal periodicsignal in a form of a plane wave with wave vector k=2/, frequency s = 2/s, amplitude A<b, and with spatiotemporal Gaussian white uncorrelated noise with intensity D.

The output signal yn(i) from element i at a discrete time step n is

.conditionsboundaryperiodic

,,2

,0for0,0for1

,2

sin

)1()1(

,,2)()(

)1()1()()(1

Nnn

jimnj

mi

n

in

in

ins

in

yy

ND

xxxx

byyw

kinAy

Measure of stochastic resonance: output SNR from the middle element i=N/2.

[A. Krawiecki, A. Sukiennicki, R.A. Kosiński, Phys. Rev. E 62, 7683 (2000)]

The SNR vs. D for N=128, Ts =128, k=0,A=0.5. Symbols: numerical results for w= -1.5 (squares), w= -0.1 (triangles), w=1.0 (+), w=1.5 (X). Theoretical results are shown with solid lines.

Enhancement of SR for optimum coupling w>0 (here, w=1.0) is observed. Significantenhancement occurs for optimum w>0 if 0 k < /4 ( 8), i.e., when the phaseshift k1 between neighbouring elements is 0 < /4. However, the enhancement deteriorates with increasing and is most effective for k= 0.

The SNR vs. D for N=128, Ts =128, k = = /2 (=4),A=0.5. Symbols: numerical results for w= -1.5 (squares), w= -0.1 (triangles), w=1.0 (+), w=1.5 (X). Theoretical results are shown with solid lines.

The SNR is practically independent of the coupling w, since for = /2 the periodic signals in neighbouring elements are shifted by Ts/4, and the probability to have 1 at the output when the periodic signal is maximum is not enhanced by the coupling.

The SNR vs. D for N=128, Ts =128, k = = (=2),A=0.5. Symbols: numerical results for w= -1.5 (squares), w= -0.1 (triangles), w=1.0 (+), w=1.5 (X). Theoretical results are shown with solid lines.

If /2 < k (4 < 2), slight enhancement of SR for any coupling w<0 is observed, particularly for higher noise intensities. Since the periodic signals in neighbouring elements are effectively in anti-phase, negative coupling mostly decreases the probability to have 1 at output when the periodic signal is minimum.

Spatiotemporal diagrams and spatiotemporal synchronization

w=1.0, k =0, D=0.05

w=1.0, k = /2, D =0.37

The diagrams correspondto maximum values of the SNR for the middle element.

Maximum SNR correspondsto spatiotemporal synchronization with the plane wave

Controlling stochastic resonance

The term „controlling stochastic resonance” comprises in general various methods of enhancement of SR by means other than varying the noise strength, e.g., periodic modulation of the barrier height in a bistable potential, [L. Gammaitoni et al., Phys. Rev. Lett. 82, 4574 (1999).]

Here, time delays are introduced in the coupling terms between neighbouring threshold elements. Optimum choice of the delays, for a given value of the coupling constant w, and for any spatial wavelength of the spatiotemporal periodic signal, leads to the increase of the maximum of the SNR in a single element. By changing the time delays, the height of the maximum SNR can be modified, and thus SR can be „controlled”.

And this is how everything will look like in the Ice Age which will eventually begin after the next SR-induced climate jump...

courtesy of Dr. P. Jóźwiak, Svalbard 2001

The effect of delays in couplings on stochastic resonance with spatiotemporal signal. Example: two coupled threshold elements.

,2

,sin

,sin

,,2)()(

)1()2()2(1

)2()1()1(1

1

2

jimnj

mi

n

nnsn

nnsn

D

bwynAy

bwynAy

A system of two threshold elements is considered, with coupling via delayed outputsignals (delay times 1,2), driven by periodic signals with frequency s, amplitude A,shifted in phase by , and white uncorrelated Gaussian noises.

Measure of stochastic resonance: the output SNR R(1) from element 1.

Due to time delays, the system is equivalent to two elements with no delays in coupling, but with effective phase shifts of the periodic signal 1, 2

.22

)1()2(2

)2(1

11)2()1(

1)1(1

,sin

;,sin

snnsn

snnsn

bwynAy

bwynAy

[A. Krawiecki, T. Stemler, Phys. Rev. E 68, 061101 (2003)]

For the case without delays, the SNR in coupled threshold elements is maximallyenhanced if the phase shift between neighbouring elements is• for w>0, = 0,• for w<0, = .

Hence, in the case with delays, the SNR is maximally enhanced if

,25,3,

,25,3,,0for

,4,2,0

,4,2,0,0for

222

111

222

111

sss

sss

ss

sss

T

Tw

Tw

In this way, the maximum possible enhancement of SR due to a given coupling w is achieved for any phase shift between periodic signals in the two coupled elements. The effect of the phase shift is cancelled by the optimum choice of thedelays, and the „effective” phase shifts are optimally chosen for a given sign of the coupling constant w.This is an example of controlling stochastic resonance with spatiotemporal signalby time delays in coupling.

Note that the optimum delays fulfil the condition 1+2=Ts.

(a) Contour plots of the maximum SNR R(1) (in dB) vs. 1 and 2 for A=0.1, Ts=128, w=0.45, = , b=0.6, gray scale on the left; (b) contour plots of the SNR R(1) (in dB) vs. D and 1 or 2 for A=0.1, Ts=128, w=0.45, b=0.6, and (b) = , 1=Ts/2; (c) = ,1=Ts; (d) = , 1+2=Ts; (e) =/2, 1=3Ts /4; (f) = /2, 1+2=Ts; gray scale for (b–f) on the right.

Contour plots of the SNR R(1) (in dB) vs. D and 1 or 2 , for A=0.1, Ts=128, w=1.0, b=0.6, and (a) /2, 1+ 2= Ts; (b) , 1= Ts /2 (nonoptimum), gray scale on the right.

Simple theoretical estimation of the SNR

1Pr111Pr

1Pr11Pr1Pr

1Pr101Pr

1Pr11Pr1Pr

)1()1()2(1

)1()1()2(1

)2(1

)2()2()1(1

)2()2()1(1

)1(1

12122

121222

22

22

nnn

nnnn

nnn

nnnn

yyy

yyyy

yyy

yyyy

1Pr,1Prfor equations of systemary complement a and )1(1

)2(1 1

nn yy

For the Gaussian noise the conditional probabilities are

deltaKronecker theis

shift, phase effective theis,1,0

,2

sinerf1

21

1Pr

,

22

2

1,2)1()2(1 122

qp

s

snn

D

wnAbyy

The probability to have yn(1) in the simplest approximation can be obtained from the

equations

Simplifying assumptions:

1. .etc,PrPr )1()1(21 12 nns yyT (processes yn

(1,2) are cyclostationary);

2. Adiabatic approximation .etc,1Pr1Pr,1Pr1Pr )2(1

)2(1

)1()1(1 22

nnnn yyyy

Under these assumptions the above system of equations becomes a closed systemof linear equations whose solution is

2,1,,

2

sinerf1

21

,1

1Pr

2

2,2,2,

2,12,21,11,2

2,11,11,21,1)1(

lkD

wnAb

y

klslkn

nnnn

nnnnn

Evaluation of the above probabilities a general case is more difficult since the above system of equations is not closed. The SNR for element 1 is

1

0

)1()1(1)1(2)1(

2)1(1

10)1( e1Pr

1,

1Pr1Prlog10

s

s

T

n

nin

snn

yT

Pyy

PR

[cf. F. Chapeau-Blondeau, Phys. Rev. E 53, 5469 (1996)]

Numerical (symbols) and corresponding theoretical (solid lines) SNR R(1) vs. D for A=0.1, Ts=128, 1+ 2= Ts, b=0.6, and (a) w=0.45, = 0, 1=0 (squares, optimum delays), 1= Ts/4 (triangles), 1= Ts/2 (dots); (b) w=0.45, = /2, 1=0 (squares), 1= Ts/4 (triangles), 1=3Ts/4 (dots, optimum delays); (c) w=-1.0, = /2, 1=0 (squares), 1= Ts/4 (triangles, optimum delays), 1= 3Ts/4 (dots).

Conclusions

SR in coupled threshold elements can be „controlled”, i.e., the maximum of the SNR from a single element can be increased, by introducing proper delays in the coupling, which cancel the effect of the phase shift of the input periodic signal in the two elements. This can be done for any spatial wavelength of the periodic signal.

The above result can be easily extended to the case of a chain of coupled thershold elements and, probably, for other spatially extended systems (e.g., chains of bistable stochastic units).

Time delays in the coupling can naturally appear in many systems, e.g., in biological neural networks, in electric circuits as delays in the transmission lines, etc. The above results show that they can have certain importance for the detection of weak spatiotemporal periodic signals, immersed in noisy background, by means of SR.

References

• A. Krawiecki, A. Sukiennicki, R.A. Kosiński, Int. J. Modern Phys B 14, 837 (2000).• A. Krawiecki, A. Sukiennicki, R.A. Kosiński, Phys. Rev. E 62, 7683 (2000).• A. Krawiecki, T. Stemler, Phys. Rev. E 68, 061101 (2003).• A. Krawiecki, Physica A 333, 505 (2004).

Thank you for yourattention

courtesy of Dr. P. Jóźwiak, Svalbard 2001