{ "id": "2303.14815", "version": "v1", "published": "2023-03-26T20:48:52.000Z", "updated": "2023-03-26T20:48:52.000Z", "title": "Mapping dynamical systems with distributed time delays to sets of ordinary differential equations", "authors": [ "Daniel Henrik Nevermann", "Claudius Gros" ], "comment": "16 pages, 6 figures", "categories": [ "math.DS", "nlin.CD" ], "abstract": "Real-world dynamical systems with retardation effects are described in general not by a single, precisely defined time delay, but by a range of delay times. It is shown that an exact mapping onto a set of $N+1$ ordinary differential equations exists when the respective delay distribution is given in terms of a gamma distribution with discrete exponents. The number of auxiliary variables one needs to introduce, $N$, is inversely proportional to the variance of the delay distribution. The case of a single delay is therefore recovered when $N\\to\\infty$. Using this approach, denoted the kernel series framework, we examine systematically how the bifurcation phase diagram of the Mackey-Glass system changes under the influence of distributed delays. We find that local properties, f.i. the locus of a Hopf bifurcation, are robust against the introduction of broadened memory kernels. Period-doubling transitions and the onset of chaos, which involve non-local properties of the flow, are found in contrast to be more sensible to distributed delays. Our results indicate that modeling approaches of real-world processes should take the effects of distributed delay times into account.", "revisions": [ { "version": "v1", "updated": "2023-03-26T20:48:52.000Z" } ], "analyses": { "keywords": [ "ordinary differential equations", "distributed time delays", "mapping dynamical systems", "distributed delay", "delay distribution" ], "note": { "typesetting": "TeX", "pages": 16, "language": "en", "license": "arXiv", "status": "editable" } } }