Asymptotic analysis for stationary distributions of scaled reaction networks

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Hoessly, Linard, Wiuf, Carsten, Xia, Panqiu
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909092772052992
author Hoessly, Linard
Wiuf, Carsten
Xia, Panqiu
author_facet Hoessly, Linard
Wiuf, Carsten
Xia, Panqiu
contents We study stationary distributions in the context of stochastic reaction networks. In particular, we are interested in complex balanced reaction networks and reduction of such networks by assuming a set of species (called non-interacting species) are degraded fast (and therefore essentially absent in the network), implying some reaction rates are large compared to others. Technically, we assume these reaction rates are scaled by a common parameter $N$ and let $N\to\infty$. The limiting stationary distribution as $N\to\infty$ is compared to the stationary distribution of the reduced reaction network obtained by algebraic elimination of the non-interacting species. In general, the limiting stationary distribution might differ from the stationary distribution of the reduced reaction network. We identify various sufficient conditions for when these two distributions are the same, including when the reaction network is detailed balanced and when the set of non-interacting species consists of intermediate species. In the latter case, the limiting stationary distribution essentially retains the form of the complex balanced distribution. This finding is particularly surprising given that the reduced reaction network might be non-weakly reversible and exhibit unconventional kinetics.
format Preprint
id arxiv_https___arxiv_org_abs_2402_02276
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Asymptotic analysis for stationary distributions of scaled reaction networks
Hoessly, Linard
Wiuf, Carsten
Xia, Panqiu
Probability
Dynamical Systems
Molecular Networks
We study stationary distributions in the context of stochastic reaction networks. In particular, we are interested in complex balanced reaction networks and reduction of such networks by assuming a set of species (called non-interacting species) are degraded fast (and therefore essentially absent in the network), implying some reaction rates are large compared to others. Technically, we assume these reaction rates are scaled by a common parameter $N$ and let $N\to\infty$. The limiting stationary distribution as $N\to\infty$ is compared to the stationary distribution of the reduced reaction network obtained by algebraic elimination of the non-interacting species. In general, the limiting stationary distribution might differ from the stationary distribution of the reduced reaction network. We identify various sufficient conditions for when these two distributions are the same, including when the reaction network is detailed balanced and when the set of non-interacting species consists of intermediate species. In the latter case, the limiting stationary distribution essentially retains the form of the complex balanced distribution. This finding is particularly surprising given that the reduced reaction network might be non-weakly reversible and exhibit unconventional kinetics.
title Asymptotic analysis for stationary distributions of scaled reaction networks
topic Probability
Dynamical Systems
Molecular Networks
url https://arxiv.org/abs/2402.02276