Abstract
We prove that the spectrum of the linear delay differential equation x0(t) = A0x(t)+A1x(tô1)+: : :+Anx(tôn) with multiple hierarchical large delays 1-1-2: : :-n splits into two distinct parts: The strong spectrum and the pseudo-continuous spectrum. As the delays tend to infinity, the strong spectrum converges to speciffic eigenvalues of A0, the so-called asymptotic strong spectrum. Eigenvalues in the pseudo-continuous spectrum however, converge to the imaginary axis. We show that after rescaling, the pseudo-continuous spectrum exhibits a hierarchical structure corresponding to the time-scales1;2 Each level of this hierarchy is approximated by spectral manifolds that can be easily computed. The set of spectral manifolds comprises the so-called asymptotic continuous spectrum. It is shown that the position of the asymptotic strong spectrum and asymptotic continuous spectrum with respect to the imaginary axis completely determines stability. In particular, a generic destabilization is mediated by the crossing of an n-dimensional spectral manifold corresponding to the timescalefin.
| Original language | English |
|---|---|
| Pages (from-to) | 151-175 |
| Number of pages | 25 |
| Journal | Discrete and Continuous Dynamical Systems - Series S |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2021 |
| Externally published | Yes |
Keywords
- Large delay
- Linear delay differential equations
- Multiple delays
Fingerprint
Dive into the research topics of 'The spectrum of delay differential equations with multiple hierarchical large delays'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver