Reordering of the Logistic Map with a Nonlinear Growth Rate
Dominique Delcourt

TL;DR
This paper explores how replacing the linear coefficient in the logistic map with a nonlinear, hyperbolic tangent-based function significantly alters its bifurcation structure, leading to new dynamical behaviors.
Contribution
It introduces a generalized logistic map with a nonlinear coefficient decay, revealing new bifurcation phenomena and chaotic regimes not seen in the classical model.
Findings
Nonlinear coefficient decay modifies asymptotic values.
Bifurcation diagrams show new period doubling and chaos.
Regimes with small periods emerge due to nonlinear effects.
Abstract
In the well known logistic map, the parameter of interest is weighted by a coefficient that decreases linearly when this parameter increases. Since such a linear decrease forms a specific case, we consider the more general case where this coefficient decreases nonlinearly as in a hyperbolic tangent relaxation of a system toward equilibrium. We show that, in this latter case, the asymptotic values obtained via iteration of the logistic map are considerably modified. We demonstrate that both the steepness of the nonlinear decrease as well as its upper and lower boundaries significantly alter the bifurcation diagram. New period doubling features and transitions to chaos appear, possibly leading to regimes with small periods. Computations with a variety of parameter values show that the logistic map can be significantly reordered in the case of a nonlinear growth rate.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Advanced Thermodynamics and Statistical Mechanics · Chaos control and synchronization
