Model order reduction for Linear Noise Approximation using time-scale separation (Extended Version)

2016/04/18 by Herath, Narmada, Del Vecchio, Domitilla
#Dynamical Systems (math.DS) #FOS: Biological sciences #FOS: Mathematics #Molecular Networks (q-bio.MN)

paper · doi:10.48550/arxiv.1604.05378

Abstract

In this paper, we focus on model reduction of biomolecular systems with multiple time-scales, modeled using the Linear Noise Approximation. Considering systems where the Linear Noise Approximation can be written in singular perturbation form, with ε as the singular perturbation parameter, we obtain a reduced order model that approximates the slow variable dynamics of the original system. In particular, we show that, on a finite time-interval, the first and second moments of the reduced system are within an O(ε)-neighborhood of the first and second moments of the slow variable dynamics of the original system. The approach is illustrated on an example of a biomolecular system that exhibits time-scale separation.

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