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SUMMARY:Jiaxin Jin (University of Louisiana at Lafayette)
DTSTART:20260326T160000Z
DTEND:20260326T163000Z
DTSTAMP:20260421T130004Z
UID:MoRN/141
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MoRN/141/">H
 omeostasis Patterns and Infinitesimal Homeostasis in Reaction Networks</a>
 \nby Jiaxin Jin (University of Louisiana at Lafayette) as part of Seminar 
 on the Mathematics of Reaction Networks\n\n\nAbstract\nHomeostasis is a re
 gulatory mechanism that keeps a specific variable close to a prescribed va
 lue as other variables fluctuate. This notion can be formulated rigorously
  when a system is modeled as an input-output network with distinguished in
 put and output nodes\, where the dynamics determine the corresponding inpu
 t-output function. In this setting\, homeostasis can be defined infinitesi
 mally\, namely when the derivative of the input-output function vanishes a
 t an isolated point. Combined with graph-theoretic ideas from combinatoria
 l matrix theory\, this provides a framework for computing homeostasis poin
 ts and classifying homeostasis types. \n\nIn the first part of the talk\, 
 we introduce the notion of a homeostasis pattern\, a set of nodes that are
  simultaneously infinitesimally homeostatic\, and show that all such patte
 rns can be described using a combinatorial structure associated with the n
 etwork\, called the homeostasis pattern network. In the second part\, we s
 tudy infinitesimal homeostasis in chemical reaction networks\, where conse
 rvation laws complicate the standard analysis. We present criteria for the
  existence of infinitesimal homeostasis with and without conservation\, an
 d introduce the notion of infinitesimal concentration robustness\, where t
 he output remains nearly constant under perturbations of conserved quantit
 ies.\n
LOCATION:https://researchseminars.org/talk/MoRN/141/
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