Homeostasis in Input-Output Networks

Marty Golubitsky (Ohio State University)

14-Dec-2023, 16:30-17:00 (24 months ago)

Abstract: A typical example of homeostasis occurs in warm-blooded mammals where the animal’s internal body temperature $x_o$ is held approximated constant on variation of the external ambient temperature I.

Our mathematical study of homeostasis focuses on networks of differential equations. First, we assume that the network has an input node $(x_i)$, an output node $(x_o)$ , and a set of n regulatory nodes $(x_{r_1}, …, x_{r_n})$ where only the input node depends explicitly on an external ambient parameter $I$. Second, we assume that there exists a stable equilibrium that leads to an input-output function $x_o(I)$. Third, we replace homeostasis (where the output is held approximately constant on variation of $I$) by infinitesimal homeostasis (where the derivative $(dx_o/dI)$ vanishes).

We use graph theoretic methods to classify infinitesimal homeostasis. First, we show that there are three kinds of three-node network motif (feedforward loops, substrate inhibition, and negative feedback loops) each of which leads to a different kind of homeostasis. Second, we show that every network leads to a unique set of possible patterns of infinitesimal homeostasis. Where possible, we illustrate our results through example.

algebraic geometrydynamical systemsprobability

Audience: researchers in the topic


Seminar on the Mathematics of Reaction Networks

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This seminar series focuses on progress in mathematical theory for the study of reaction networks, mainly in biology and chemistry. The scope is broad and accommodates works arising from dynamical systems, stochastics, algebra, topology and beyond.

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The organizers.

Organizers: Daniele Cappelletti*, Stefan Müller*, Tung Nguyen*, Polly Yu*
*contact for this listing

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