Mathematics > Optimization and Control
[Submitted on 11 Aug 2021 (v1), last revised 5 Sep 2022 (this version, v4)]
Title:Revisit of macroscopic dynamics for some non-equilibrium chemical reactions from a Hamiltonian viewpoint
View PDFAbstract:Most biochemical reactions in living cells are open systems interacting with environment through chemostats to exchange both energy and materials. At a mesoscopic scale, the number of each species in those biochemical reactions can be modeled by a random time-changed Poisson processes. To characterize macroscopic behaviors in the large volume limit, the law of large numbers in the path space determines a mean-field limit nonlinear reaction rate equation describing the dynamics of the concentration of species, while the WKB expansion for the chemical master equation yields a Hamilton-Jacobi equation (HJE) and the Lagrangian gives the good rate function in the large deviation principle. We decompose a general macroscopic reaction rate equation into a conservative part and a dissipative part in terms of the stationary solution to HJE. This stationary solution is used to determine the energy landscape and thermodynamics for general chemical reactions, which particularly maintains a positive entropy production rate at a non-equilibrium steady state. The associated energy dissipation law is proved together with the passage from the mesoscopic to macroscopic one. Furthermore, we use a reversible Hamiltonian to study a class of non-equilibrium enzyme reactions, which identifies a new concept of balance within the same reaction vector due to flux grouping degeneracy. This macroscopic reversibility, brought by the reversibility of the chemical reaction jumping process, gives an Onsager-type strong gradient flow. The reversible Hamiltonian also yields a time reversal symmetry for the corresponding Lagrangian. Thus a modified time reversed least action path serves as the transition paths with associated path affinities and energy barriers.
Submission history
From: Yuan Gao [view email][v1] Wed, 11 Aug 2021 18:23:39 UTC (248 KB)
[v2] Tue, 28 Dec 2021 04:30:28 UTC (133 KB)
[v3] Thu, 31 Mar 2022 03:21:51 UTC (54 KB)
[v4] Mon, 5 Sep 2022 21:33:05 UTC (61 KB)
Current browse context:
math.OC
Change to browse by:
References & Citations
Bibliographic and Citation Tools
Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.