Gain of Entrainment in Nonlinear Cascades

Ram Massas; Michael Margaliot

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arXiv · 2608.15214

Gain of Entrainment in Nonlinear Cascades

Ram Massas·Michael Margaliot

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Abstract

We consider the gain of entrainment (GOE)--the difference between the average steady-state output under a periodic input and the steady-state output under a constant input with the same mean--for an $n$-stage feedforward cascade of stable first-order filters interleaved with static nonlinearities. The main result is an exact decomposition of GOE as a weighted sum of local Jensen gaps, where each gap quantifies the mean shift generated by a nonlinearity, and each weight is a product of downstream incremental gains divided by linear time constants. We provide a Bregman-divergence interpretation of the decomposition, and a second-order small-amplitude of GOE separating local curvature, fluctuation energy, and differential gains. We demonstrate the theoretical results using a Michaelis-Menten cascade showing that any nonconstant periodic feeding strictly reduces the average terminal product relative to constant feeding with the same mean.

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Ram Massas, Michael Margaliot. 2026-08-15. Gain of Entrainment in Nonlinear Cascades. https://arxiv.org/abs/2608.15214

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