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This paper is motivated by examples from stochastic reaction network theory. The $Q$-matrix of a stochastic reaction network can be derived from the reaction graph, an edge-labelled directed graph encoding the jump vectors of an associated…

Probability · Mathematics 2021-12-24 Chuang Xu , Mads Christian Hansen , Carsten Wiuf

This article characterizes certain small multistationary chemical reaction networks. We consider the set of fully open networks, those for which all chemical species participate in inflow and outflow, containing one non-flow (reversible or…

Dynamical Systems · Mathematics 2013-01-18 Badal Joshi

Stable chaos is a generalization of the chaotic behaviour exhibited by cellular automata to continuous-variable systems and it owes its name to an underlying irregular and yet linearly stable dynamics. In this review we discuss analogies…

Chaotic Dynamics · Physics 2010-10-19 Antonio Politi , Alessandro Torcini

The theory of pattern formation in reaction-diffusion systems is extended to the case of a directed network. Due to the structure of the network Laplacian of the scrutinised system, the dispersion relation has both real and imaginary parts,…

Pattern Formation and Solitons · Physics 2014-08-01 Malbor Asllani , Joseph D. Challenger , Francesco Saverio Pavone , Leonardo Sacconi , Duccio Fanelli

We investigate the possibility that for any given reaction rate vector $k$ associated with a network $G$, there exists another network $G'$ with a corresponding reaction rate vector that reproduces the mass-action dynamics generated by…

Dynamical Systems · Mathematics 2024-09-10 Samay Kothari , Jiaxin Jin , Abhishek Deshpande

Reaction-diffusion equations coupled to ordinary differential equations (ODEs) may exhibit spatially low-regular stationary solutions. This work provides a comprehensive theory of asymptotic stability of bounded, discontinuous or…

Analysis of PDEs · Mathematics 2023-05-18 Chris Kowall , Anna Marciniak-Czochra , Finn Münnich

Time-continuous dynamical systems defined on graphs are often used to model complex systems with many interacting components in a non-spatial context. In the reverse sense attaching meaningful dynamics to given 'interaction diagrams' is a…

Molecular Networks · Quantitative Biology 2010-07-02 Markus Kirkilionis , Luca Sbano

This paper contributes to extending the validity of Lyapunov function PDEs (in-vented by Fang and Gao in [SIAM Journal on Applied Dynamical Systems, 18(2019), pp. 1163-1199]and whose solution is conjectured to be able to behave as a…

Dynamical Systems · Mathematics 2020-05-06 Yafei Lu , Chuanhou Gao

A crisp survey is given of chemical reaction networks from the perspective of general nonlinear network dynamics, in particular of consensus dynamics. It is shown how by starting from the complex-balanced assumption the reaction dynamics…

Dynamical Systems · Mathematics 2015-02-10 Arjan van der Schaft , Shodhan Rao , Bayu Jayawardhana

In this paper, we are concerned with the state feedback stabilization of ODE-PDE cascade systems governed by a linear ordinary differential equation and the 1-d reaction-diffusion equation posed on a bounded interval. In contrast to the…

Analysis of PDEs · Mathematics 2018-01-04 Habib Ayadi

Dynamical processes on networks are currently being considered in different domains of cross-disciplinary interest. Reaction-diffusion systems hosted on directed graphs are in particular relevant for their widespread applications, from…

Statistical Mechanics · Physics 2016-04-06 Silvia Contemori , Francesca Di Patti , Duccio Fanelli , Filippo Miele

We provide a new decomposition of the Laplacian matrix (for labeled directed graphs with strongly connected components), involving an invertible $\textit{core matrix}$, the vector of tree constants, and the incidence matrix of an auxiliary…

Combinatorics · Mathematics 2023-11-21 Stefan Müller

Steady states are frequently used to investigate the long-term behaviors of (bio)-chemical systems. Recently, there has been a growing interest in network-based approaches due to their efficiency in deriving parametrizations of positive…

Dynamical Systems · Mathematics 2024-04-02 Bryan S. Hernandez , Patrick Vincent N. Lubenia

This paper is concerned with the utilization of deterministically modeled chemical reaction networks for the implementation of (feed-forward) neural networks. We develop a general mathematical framework and prove that the ordinary…

Neural and Evolutionary Computing · Computer Science 2021-03-10 David F. Anderson , Badal Joshi , Abhishek Deshpande

Generalized mass-action systems are power-law dynamical systems arising from chemical reaction networks. Essentially, every nonnegative ODE model used in chemistry and biology (for example, in ecology and epidemiology) and even in economics…

Dynamical Systems · Mathematics 2023-11-21 Stefan Müller , Georg Regensburger

This paper deals with identifiability of undirected dynamical networks with single-integrator node dynamics. We assume that the graph structure of such networks is known, and aim to find graph-theoretic conditions under which the state…

Optimization and Control · Mathematics 2018-07-24 Henk J. van Waarde , Pietro Tesi , M. Kanat Camlibel

The connectivity of individual neurons of large neural networks determine both the steady state activity of the network and its answer to external stimulus. Highly diluted random networks have zero activity. We show that increasing the…

Condensed Matter · Physics 2008-02-03 Albert-László Barabási

Which reaction networks, when taken with mass-action kinetics, have the capacity for multiple steady states? There is no complete answer to this question, but over the last 40 years various criteria have been developed that can answer this…

Dynamical Systems · Mathematics 2015-08-21 Badal Joshi , Anne Shiu

We derive a simple sufficient condition for the local asymptotic stability of spatially discrete, continuous-time reaction-diffusion systems of networked dynamical systems at a homogeneous equilibrium point. The framework explicitly…

Dynamical Systems · Mathematics 2026-05-07 Dinesh Kumar

Reaction networks are commonly used to model the evolution of populations of species subject to transformations following an imposed stoichiometry. This paper focuses on the efficient characterisation of dynamical properties of Discrete…

Discrete Mathematics · Computer Science 2013-07-15 Loïc Paulevé , Gheorghe Craciun , Heinz Koeppl