Saved in:
Bibliographic Details
Main Authors: Doliveira, Arthur, Roman, Christophe, Graton, Guillaume, Ouladsine, Mustapha
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.08254
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917395699859456
author Doliveira, Arthur
Roman, Christophe
Graton, Guillaume
Ouladsine, Mustapha
author_facet Doliveira, Arthur
Roman, Christophe
Graton, Guillaume
Ouladsine, Mustapha
contents The state space is a fundamental concept for describing the trajectory of a dynamic system. Depending on its form, it can highlight certain changes over time while ignoring others. This is particularly the case for the spaces associated with theoretical ecology models, notably the generalized Lotka-Volterra (gLV) model, which allows the modeling of interacting populations. The fixed-dimension state space classically used in gLV models does not account for the effective renewal of species through addition, removal, or mutation. To address this limitation, we propose a new variable-base state space, introduced in a previous study. This framework leads to a reformulation of the gLV model within the context of hybrid dynamical systems. To illustrate the approach, we apply the proposed model to the gut microbiota, particularly in the context of bacteriotherapy following antibiotic treatment.
format Preprint
id arxiv_https___arxiv_org_abs_2604_08254
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Generalized Lotka-Volterra Model with Species Turnover in a Variable-Basis State Space
Doliveira, Arthur
Roman, Christophe
Graton, Guillaume
Ouladsine, Mustapha
Dynamical Systems
The state space is a fundamental concept for describing the trajectory of a dynamic system. Depending on its form, it can highlight certain changes over time while ignoring others. This is particularly the case for the spaces associated with theoretical ecology models, notably the generalized Lotka-Volterra (gLV) model, which allows the modeling of interacting populations. The fixed-dimension state space classically used in gLV models does not account for the effective renewal of species through addition, removal, or mutation. To address this limitation, we propose a new variable-base state space, introduced in a previous study. This framework leads to a reformulation of the gLV model within the context of hybrid dynamical systems. To illustrate the approach, we apply the proposed model to the gut microbiota, particularly in the context of bacteriotherapy following antibiotic treatment.
title Generalized Lotka-Volterra Model with Species Turnover in a Variable-Basis State Space
topic Dynamical Systems
url https://arxiv.org/abs/2604.08254