Long-range correlations with finite-size effects from a superposition of uncorrelated pulses with power-law distributed durations

TL;DR

This paper derives analytical expressions for power spectral density of superimposed uncorrelated pulses with power-law distributed durations, revealing how finite-size effects influence long-range correlations and spectral scaling.

Contribution

It provides closed-form solutions for spectral density with various duration distributions and clarifies the impact of finite-size effects on long-range correlation regimes.

Findings

Derived spectral density expressions for different pulse duration distributions.

Demonstrated the asymptotic relation eta=3-lpha for broad distributions.

Showed finite-size effects limit the scale-invariance range.

Abstract

Long-range correlations manifested as power spectral density scaling $1/f^\beta$ for frequency $f$ and a range of exponents $\beta$ are investigated for a superposition of uncorrelated pulses with distributed durations $\tau$. Closed-form expressions for the frequency power spectral density are derived for a one-sided exponential pulse function and several variants of bounded and unbounded power-law distributions of pulse durations ${P_\tau(\tau)\sim1/\tau^\alpha}$ with abrupt and smooth cutoffs. The asymptotic scaling relation $\beta=3-\alpha$ is demonstrated for $1<\alpha<3$ in the limit of an infinitely broad distribution $P_\tau(\tau)$. Logarithmic corrections to the frequency scaling are exposed at the boundaries of the long-range dependence regime, $\beta=0$ and $\beta=2$. Analytically demonstrated finite-size effects associated with distribution truncations are shown to reduce the frequency ranges of scale invariance by several decades. The regimes of validity of the $\beta=3-\alpha$ relation are clarified.