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SUMMARY:Daniele Cappelletti (Politecnico di Torino)
DTSTART:20231214T160000Z
DTEND:20231214T163000Z
DTSTAMP:20260421T123831Z
UID:MoRN/85
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MoRN/85/">St
 ochastic reaction networks in stochastic environment</a>\nby Daniele Cappe
 lletti (Politecnico di Torino) as part of Seminar on the Mathematics of Re
 action Networks\n\n\nAbstract\nIn the typical definition of stochastic rea
 ction networks\, the rate functions only depend on the current state and d
 o not change over time. However this is not true in many biological system
 s\, where the rate functions change over time. In this study we considered
  the more general case of the rates depending on both the current configur
 ation and another stochastic process\, which we call "environment" and is 
 not directly affected by the system of interest. We study the positive rec
 urrence of this more general model under the assumption of "monomoleculari
 ty"\, and under certain conditions characterize the stationary distributio
 n (when it exists) as a mixture of Poisson distributions\, which is unique
 ly identified as the law of a fixed point of a stochastic recurrence equat
 ion. This recursion can be utilized for numerical computation of moments a
 nd other distributional features.\n
LOCATION:https://researchseminars.org/talk/MoRN/85/
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