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相关论文: Realizations through Weakly Reversible Networks an…

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In the study of reaction networks and the polynomial dynamical systems that they generate, special classes of networks with important properties have been identified. These include reversible, weakly reversible}, and, more recently,…

Reaction networks can display a wide array of dynamics. However, it is possible for different reaction networks to display the same dynamics. This phenomenon is called dynamical equivalence and makes network identification a hard problem to…

动力系统 · 数学 2022-05-03 Abhishek Deshpande

This paper concerns the long-term behavior of population systems, and in particular of chemical reaction systems, modeled by deterministic mass-action kinetics. We approach two important open problems in the field of Chemical Reaction…

动力系统 · 数学 2012-03-21 Casian Pantea

We prove that if a given reaction network $\mathcal{N}$ has a weakly reversible deficiency zero realization for all choice of rate constants, then there exists a $\textit{unique}$ weakly reversible deficiency zero network $\mathcal{N}'$…

分子网络 · 定量生物学 2025-02-26 Neal Buxton , Gheorghe Craciun , Abhishek Deshpande , Casian Pantea

We establish a new relationship between monotonicity and contractivity and use this connection to describe a new general class of weakly contractive reaction networks. The new class is characterized by the stoichiometry matrix of the…

动力系统 · 数学 2025-06-24 Alon Duvall , M. Ali Al-Radhawi , Dhruv D. Jatkar , Eduardo Sontag

It has been known for nearly a decade that deterministically modeled reaction networks that are weakly reversible and consist of a single linkage class have trajectories that are bounded from both above and below by positive constants (so…

概率论 · 数学 2020-01-17 David F. Anderson , Daniele Cappelletti , Jinsu Kim

Given a dynamical system with polynomial right-hand side, can it be generated by a reaction network that possesses certain properties? This question is important because some network properties may guarantee specific dynamical properties,…

动力系统 · 数学 2023-03-17 Gheorghe Craciun , Abhishek Deshpande , Jiaxin Jin

This paper introduces the class of "strongly endotactic networks", a subclass of the endotactic networks introduced by G. Craciun, F. Nazarov, and C. Pantea. The main result states that the global attractor conjecture holds for…

动力系统 · 数学 2014-10-07 Manoj Gopalkrishnan , Ezra Miller , Anne Shiu

We show that there exists endotactic and strongly endotactic dynamical systems that are not weakly reversible and possess infinitely many steady states. We provide a few examples in two dimensions and an example in three dimensions that…

动力系统 · 数学 2023-03-16 Samay Kothari , Abhishek Deshpande

The structure of invariant regions and globally attracting regions is fundamental to understanding the dynamical properties of reaction network models. We describe an explicit construction of the minimal invariant regions and minimal…

动力系统 · 数学 2021-10-28 Yida Ding , Abhishek Deshpande , Gheorghe Craciun

A reaction network together with a choice of rate constants uniquely gives rise to a system of differential equations, according to the law of mass-action kinetics. On the other hand, different networks can generate the same dynamical…

动力系统 · 数学 2021-05-18 Gheorghe Craciun , Jiaxin Jin , Polly Y. Yu

We characterize completely the capacity for (nondegenerate) multistationarity of mass action reaction networks with one-dimensional stoichiometric subspace in terms of reaction structure. Specifically, we show that networks with two or more…

动力系统 · 数学 2022-08-15 Casian Pantea , Galyna Voitiuk

A natural condition on the structure of the underlying chemical reaction network, namely weak reversibility, is shown to guarantee the existence of an equilibrium (steady state) in each positive stoichiometric compatibility class for the…

定量方法 · 定量生物学 2011-11-14 Jian Deng , Christopher Jones , Martin Feinberg , Adrian Nachman

An important dynamical property of biological interaction networks is persistence, which intuitively means that "no species goes extinct". It has been conjectured that dynamical system models of weakly reversible networks (i.e., networks…

动力系统 · 数学 2019-06-21 Gheorghe Craciun , Abhishek Deshpande

Under mass-action kinetics, complex-balanced systems emerge from biochemical reaction networks and exhibit stable and predictable dynamics. For a reaction network $G$, the associated dynamical system is called $\textit{disguised toric}$ if…

分子网络 · 定量生物学 2024-12-04 Gheorghe Craciun , Abhishek Deshpande , Jiaxin Jin

We show that weakly reversible mass-action systems can have a continuum of positive steady states, coming from the zeroes of a multivariate polynomial. Moreover, the same is true of systems whose underlying reaction network is reversible…

分子网络 · 定量生物学 2022-09-14 Balázs Boros , Gheorghe Craciun , Polly Y. Yu

Complex-balanced mass-action systems are some of the most important types of mathematical models of reaction networks, due to their widespread use in applications, as well as their remarkable stability properties. We study the set of…

动力系统 · 数学 2023-06-26 Gheorghe Craciun , Abhishek Deshpande , Jiaxin Jin

We study the multistationarity for the reaction networks with one-dimensional stoichiometric subspaces, and we focus on the networks admitting finitely many positive steady states. We prove that if a network admits multistationarity, then…

动力系统 · 数学 2021-08-24 Kexin Lin , Xiaoxian Tang , Zhishuo Zhang

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…

动力系统 · 数学 2015-08-21 Badal Joshi , Anne Shiu

All types of networks arise as intricate combinations of dyadic building blocks formed by pairs of vertices. In directed networks, the dyadic patterns are entirely determined by reciprocity, i.e. the tendency to form, or to avoid, mutual…

数据分析、统计与概率 · 物理学 2014-01-14 Tiziano Squartini , Francesco Picciolo , Franco Ruzzenenti , Diego Garlaschelli
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