AN AVERAGING PRINCIPLE FOR COMBINED INTERACTION GRAPHS — CONNECTIVITY AND APPLICATIONS TO GENETIC SWITCHES

DOI10.1142/S0219525910002669zbMath1209.05255arXiv0803.0635MaRDI QIDQ3585113

Luca Sbano, Markus Kirkilionis

Publication date: 19 August 2010

Published in: Advances in Complex Systems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0803.0635

zbMATH Keywords

Markov chainsODEinteraction graph

Mathematics Subject Classification ID

Applications of graph theory (05C90) Stochastic network models in operations research (90B15) Genetics and epigenetics (92D10)

Related Items (3)

Stochastic averaging approach to leader-following consensus of linear multi-agent systems ⋮ Multiscale analysis in many-body systems ⋮ A Definition of Cellular Interface Problems

Cites Work

• Graph theory and qualitative analysis of reaction networks
• Covariance and relaxation time in finite Markov chains
• On comparison systems for ordinary differential equations
• An Introduction to Markov Processes
• Stochastic Differential Equations with Markovian Switching
• Differential equations with a small parameter and the central limit theorem for functions defined on a finite Markov chain
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: AN AVERAGING PRINCIPLE FOR COMBINED INTERACTION GRAPHS — CONNECTIVITY AND APPLICATIONS TO GENETIC SWITCHES