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math.PR2026
Stochastic ordering tools for continuous-time Markov chains and applications to reaction network models
Daniele Cappelletti, Giulio Cuniberti, Paola Siri
Stochastic reaction networks are mathematical models with a wide range of applications in biochemistry, ecology, and epidemiology, and are often complex to analyze. Except for some…
math.PR2025
Stability of randomly switching stochastic reaction networks with asymptotically linear transition rates
Daniele Cappelletti, Aidan Howells, Chuang Xu
Stochastic reaction networks are mathematical models frequently used in, but not limited to, biochemistry. These models are continuous-time Markov chains whose transition rates dep…