Abstract
There are important questions in the context of relaxation oscillatory behaviour observed in singularly perturbed systems that we have not addressed so far:
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where do these oscillations originate from, i.e., what is the underlying mechanism that leads to the genesis of rhythmic behaviour?
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how does the singular nature of the perturbation problem manifest itself in the rhythm generation?
Partial answers to the above questions can be found in classic bifurcation theory [63] which focuses on understanding significant changes in dynamical systems outputs under system parameter variations. The time-scale splitting in our singular perturbation problems creates additional complexity and sometimes surprising, counter-intuitive behaviour. We start with a couple of examples to motivate the development of the corresponding theory.
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Notes
- 1.
Variations in the dimensionless parameter μ could be interpreted as variations in the initial precursor concentration p 0.
- 2.
The terminology ‘pseudo singularity’ was introduced by Jose Argemi [2].
- 3.
- 4.
French: ‘faux’ = false as opposed to ‘vrai’ = true; the term ‘vrai’ is seldom used in the canard theory literature.
- 5.
More generally, it is observed under variation along a path α(s), \(s\in I\subset {\mathbb R}\), in the corresponding system parameter space \(\alpha \in \mathbb {R}^p\), p ≥ 1.
- 6.
- 7.
The original two-stroke oscillator model (2.28) is given by α = 1, β = 1, γ = 0 and δ = 1.
- 8.
- 9.
For γ = 0, there is no equilibrium; compare with the original stick-slip oscillator model (2.28) analysis.
- 10.
While the set L does not constitute a set of isolated singularities of N(s, x, y) as stated in Assumption 3.3, the theory presented is still valid since s is a ‘true’ slow variable.
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Wechselberger, M. (2020). Pseudo Singularities and Canards. In: Geometric Singular Perturbation Theory Beyond the Standard Form. Frontiers in Applied Dynamical Systems: Reviews and Tutorials, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-030-36399-4_6
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