Random Chemostats with Competition and Different Kinetics to Investigate the Growth of the Gut Microbiome

ABSTRACT We investigate some chemostat models incorporating wall growth, competition, random fluctuations on the dilution rate, and different consumption functions (Monod and Haldane). We analyze the asymptotic behavior of the solutions of the corresponding random differential systems to establish conditions on the model parameters under which the microbes persist in the gut or disappear. Moreover, several numerical simulations are presented to support the theoretical results and illustrate their biological interpretation.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-03-15
DOI
https://doi.org/10.1002/mma.70688
Primary Topic
Mathematical Biology Tumor Growth
Type
article
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article

Random Chemostats with Competition and Different Kinetics to Investigate the Growth of the Gut Microbiome

Javier López‐de‐la‐Cruz, Felipe Rivero, Carlos R. Takaessu
Mathematical Methods in the Applied Sciences
Mathematical Biology Tumor Growth
article

Random Chemostats with Competition and Different Kinetics to Investigate the Growth of the Gut Microbiome

Javier López‐de‐la‐Cruz, Felipe Rivero, Carlos R. Takaessu
article en

Abstract

ABSTRACT We investigate some chemostat models incorporating wall growth, competition, random fluctuations on the dilution rate, and different consumption functions (Monod and Haldane). We analyze the asymptotic behavior of the solutions of the corresponding random differential systems to establish conditions on the model parameters under which the microbes persist in the gut or disappear. Moreover, several numerical simulations are presented to support the theoretical results and illustrate their biological interpretation.

Mathematical Methods in the Applied Sciences
Universidad Complutense de Madrid (ES), Brazilian Society of Computational and Applied Mathematics (BR), Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 24%
Mathematical Biology Tumor Growth
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