Refining Unified Colored-Noise Approximation

Abstract

Countless biological and physical systems experience fluctuations that exhibit non-trivial temporal correlations. The Unified Colored-Noise Approximation (UCNA) is a framework providing an approximate description of such stochastic dynamics with colored noise, valid in the limits of vanishing and infinite correlation time of the noise. We first pinpoint and address some criticalities in its original derivation, recasting the result through a time-scale separation procedure. By using our approach, we derive the next-to-leading order correction to the dynamics in both limiting regimes, and highlight the relevant physical scalings of these approximations. Our result helps frame the limits of validity of both the original and the refined formulas, especially in comparison with those derived through different approximation procedures. We show our findings in two paradigmatic examples, a quartic potential and a stochastic logistic growth with multiplicative noise.