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反应扩散系统中随机流入产生的有色噪声。

Coloured Noise from Stochastic Inflows in Reaction-Diffusion Systems.

作者信息

Adamer Michael F, Harrington Heather A, Gaffney Eamonn A, Woolley Thomas E

机构信息

Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, UK.

Cardiff School of Mathematics, Cardiff University, Cardiff, UK.

出版信息

Bull Math Biol. 2020 Mar 20;82(4):44. doi: 10.1007/s11538-020-00719-w.

DOI:10.1007/s11538-020-00719-w
PMID:32198538
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7083815/
Abstract

In this paper, we present a framework for investigating coloured noise in reaction-diffusion systems. We start by considering a deterministic reaction-diffusion equation and show how external forcing can cause temporally correlated or coloured noise. Here, the main source of external noise is considered to be fluctuations in the parameter values representing the inflow of particles to the system. First, we determine which reaction systems, driven by extrinsic noise, can admit only one steady state, so that effects, such as stochastic switching, are precluded from our analysis. To analyse the steady-state behaviour of reaction systems, even if the parameter values are changing, necessitates a parameter-free approach, which has been central to algebraic analysis in chemical reaction network theory. To identify suitable models, we use tools from real algebraic geometry that link the network structure to its dynamical properties. We then make a connection to internal noise models and show how power spectral methods can be used to predict stochastically driven patterns in systems with coloured noise. In simple cases, we show that the power spectrum of the coloured noise process and the power spectrum of the reaction-diffusion system modelled with white noise multiply to give the power spectrum of the coloured noise reaction-diffusion system.

摘要

在本文中,我们提出了一个用于研究反应扩散系统中有色噪声的框架。我们首先考虑一个确定性反应扩散方程,并展示外部强迫如何导致时间相关的或有色噪声。这里,外部噪声的主要来源被认为是代表粒子流入系统的参数值的波动。首先,我们确定哪些由外部噪声驱动的反应系统只能有一个稳态,以便我们的分析排除诸如随机切换等效应。为了分析反应系统的稳态行为,即使参数值在变化,也需要一种无参数方法,这一直是化学反应网络理论代数分析的核心。为了识别合适的模型,我们使用实代数几何中的工具,将网络结构与其动力学性质联系起来。然后,我们将其与内部噪声模型建立联系,并展示如何使用功率谱方法来预测有色噪声系统中的随机驱动模式。在简单情况下,我们表明有色噪声过程的功率谱与用白噪声建模的反应扩散系统的功率谱相乘,得到有色噪声反应扩散系统的功率谱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/150c42d4bcca/11538_2020_719_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/d1fb9f52c1fa/11538_2020_719_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/80842c170442/11538_2020_719_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/7621b9b2e698/11538_2020_719_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/c1487eb93e21/11538_2020_719_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/da646da96c5e/11538_2020_719_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/a61780dadf81/11538_2020_719_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/86024335c9d8/11538_2020_719_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/150c42d4bcca/11538_2020_719_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/d1fb9f52c1fa/11538_2020_719_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/80842c170442/11538_2020_719_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/7621b9b2e698/11538_2020_719_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/c1487eb93e21/11538_2020_719_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/da646da96c5e/11538_2020_719_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/a61780dadf81/11538_2020_719_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/86024335c9d8/11538_2020_719_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d328/7083815/150c42d4bcca/11538_2020_719_Fig8_HTML.jpg

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