Tikhonov-Fenichel Reductions and their Application to a Novel Modelling Approach for Mutualism
Johannes Apelt, Volkmar Liebscher

TL;DR
This paper demonstrates how Tikhonov--Fenichel reductions can simplify complex biological models, specifically mutualism in lichens, revealing insights into interaction dynamics, stability, and shifts between mutualism and parasitism.
Contribution
It introduces an algebraic approach to model reduction using Tikhonov--Fenichel theory, enabling direct analysis of rate-based separations and algorithmic reductions in biological systems.
Findings
Mycobiont benefits from mutualism in all scenarios.
Model captures transition from mutualism to parasitism.
Bistability with multiple stable states observed.
Abstract
When formulating a model there is a trade-off between model complexity and (biological) realism. In the present paper we demonstrate how model reduction from a precise mechanistic "super model" to simpler conceptual models using Tikhonov--Fenichel reductions, an algebraic approach to singular perturbation theory, can mitigate this problem. Compared to traditional methods for time scale separations (Tikhonov's theorem, quasi-steady state assumption), Tikhonov--Fenichel reductions have the advantage that we can compute a reduction directly for a separation of rates into slow and fast ones instead of a separation of components of the system. Moreover, we can find all such eductions algorithmically. In this work we use Tikhonov--Fenichel reductions to analyse a mutualism model tailored towards lichens with an explicit description of the interaction. We find: (1) the implicit description of…
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Taxonomy
TopicsTopological and Geometric Data Analysis
MethodsFocus
