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Lyapunov functions and Tiers for Positive Recurrence and Mixing Times of Stochastic Reaction Networks

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Lyapunov functions and Tiers for Positive Recurrence and Mixing Times of Stochastic Reaction Networks
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Lyapunov functions and Tiers for ergodicity and mixing times of stochastic reaction networks
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13
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CC Attribution - NonCommercial - NoDerivatives 4.0 International:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
The Lyapunov-Foster criteria is one of the well known methods for verifying ergodicity of Markov processes. The "Standard Lyapunov function” has played a significant role in the analysis of deterministic reaction networks, especially in regards to deficiency 0 networks. I will provide conditions on reaction networks that guarantee the Standard Lyapunov function satisfies the Lyapunov-Foster criteria. The analysis utilizes hierarchies of intensities and rate functions (Tier structures). I will also provide some special classes of reaction networks satisfying the conditions, thus proving networks in those classes are positive recurrent. I will also provide some results pertaining to the mixing times of reaction networks.
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