Red spectra from white and blue noise

The value of maps of the interval in modelling population dynamics has recently been called into question because temporal variations from such maps have blue or white power spectra, whereas many observations of real populations show time-series with red spectra. One way to deal with this discrepanc...

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Veröffentlicht in:Proceedings of the Royal Society. B, Biological sciences Biological sciences, 1999-02, Vol.266 (1416), p.311-314
Hauptverfasser: Balmforth, Neil J., Provenzale, Antonello, Spiegel, Edward A., Martens, M., Tresser, Charles, Chai, Wa Wu
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container_end_page 314
container_issue 1416
container_start_page 311
container_title Proceedings of the Royal Society. B, Biological sciences
container_volume 266
creator Balmforth, Neil J.
Provenzale, Antonello
Spiegel, Edward A.
Martens, M.
Tresser, Charles
Chai, Wa Wu
description The value of maps of the interval in modelling population dynamics has recently been called into question because temporal variations from such maps have blue or white power spectra, whereas many observations of real populations show time-series with red spectra. One way to deal with this discrepancy is to introduce chaotic or stochastic fluctuations in the parameters of the map. This leads to on-off intermittency and can markedly redden the spectrum produced by a model that does not by itself have a red spectrum. The parameter fluctuations need not themselves have a red spectrum in order to achieve this effect. Because the power spectrum is not invariant under a change of variable, another way to redden the spectrum is by a suitable transformation of the variables used. The question this poses is whether spectra are the best means of characterizing a fluctuating variable.
doi_str_mv 10.1098/rspb.1999.0639
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1471-2954
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source Jstor Complete Legacy; PubMed Central
subjects 1/f Spectra
Acoustic spectra
Dynamic modeling
Dynamical Systems
Economic fluctuations
Environmental Effects
Logistics
Low frequencies
Noise spectra
On-Off Intermittency
Population Dynamics
Time series
Time series models
White noise
title Red spectra from white and blue noise
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