Aging Wiener-Khinchin Theorem and Critical Exponents of Noise
arXiv:1603.05440 · doi:10.1103/PhysRevE.94.052130
Abstract
The power spectrum of a stationary process may be calculated in terms of the autocorrelation function using the Wiener-Khinchin theorem. We here generalize the Wiener-Khinchin theorem for nonstationary processes and introduce a time-dependent power spectrum where is the measurement time. For processes with an aging correlation function of the form , where is a nonanalytic function when is small, we find aging noise. Aging noise is characterized by five critical exponents. We derive the relations between the scaled correlation function and these exponents. We show that our definition of the time-dependent spectrum retains its interpretation as a density of Fourier modes and discuss the relation to the apparent infrared divergence of noise. We illustrate our results for blinking quantum dot models, single-file diffusion and Brownian motion in logarithmic potential.
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