# Infinitesimal homeostasis in mass-action systems

**Authors:** Jiaxin Jin, Grzegorz A. Rempala

PMC · DOI: 10.1007/s00285-026-02352-y · Journal of Mathematical Biology · 2026-02-17

## TL;DR

This paper explores how biological systems maintain stable outputs despite changing inputs, focusing on chemical reaction networks.

## Contribution

The paper introduces a new concept called infinitesimal concentration robustness to analyze homeostasis in chemical reaction networks.

## Key findings

- Infinitesimal homeostasis can be verified even when conservation laws are present.
- Examples demonstrate the concept in both deterministic and stochastic settings.
- Conserved quantities can act as input parameters for homeostasis analysis.

## Abstract

Homeostasis occurs in a biological system when a chosen output variable remains approximately constant despite changes in an input variable. In this work we specifically focus on biological systems that may be represented as chemical reaction networks and consider their infinitesimal homeostasis, where the derivative of the input-output function is zero. The specific challenge of chemical reaction networks is that they often obey various conservation laws complicating the standard input-output analysis. We derive several results that allow us to verify the existence of infinitesimal homeostasis points both in the absence of conservation and under conservation laws where conserved quantities serve as input parameters. In particular, we introduce the notion of infinitesimal concentration robustness, where the output variable remains nearly constant despite fluctuations in the conserved quantities. We provide several examples of chemical networks that illustrate our results both in deterministic and stochastic settings.

## Full-text entities

- **Diseases:** SIR (MESH:C562694)
- **Chemicals:** Haldane (-)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12913314/full.md

## References

8 references — full list in the complete paper: https://tomesphere.com/paper/PMC12913314/full.md

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Source: https://tomesphere.com/paper/PMC12913314