Abstract

We show that a known condition for having rough basin boundaries in bistable 2D maps holds for high-dimensional bistable systems that possess a unique nonattracting chaotic set embedded in their basin boundaries. The condition for roughness is that the cross-boundary Lyapunov exponent λx on the nonattracting set is not the maximal one. Furthermore, we provide a formula for the generally noninteger co-dimension of the rough basin boundary, which can be viewed as a generalization of the Kantz-Grassberger formula. This co-dimension that can be at most unity can be thought of as a partial co-dimension, and, so, it can be matched with a Lyapunov exponent. We show in 2D noninvertible- and 3D invertible-minimal models, that, formally, it cannot be matched with λx. Rather, the partial dimension D0 (x) that λx is associated with in the case of rough boundaries is trivially unity. Further results hint that the latter holds also in higher dimensions. This is a peculiar feature of rough fractals. Yet, D0 (x) cannot be measured via the uncertainty exponent along a line that traverses the boundary. Consequently, one cannot determine whether the boundary is a rough or a filamentary fractal by measuring fractal dimensions. Instead, one needs to measure both the maximal and cross-boundary Lyapunov exponents numerically or experimentally.

Highlights

  • Global characteristic numbers are, not completely independent

  • We show that a known condition for having rough basin boundaries in bistable 2D maps holds for high-dimensional bistable systems that possess a unique nonattracting chaotic set embedded in their basin boundaries

  • IV, we report on our numerical computations performed to determine the fractal dimension of a rough boundary, revealing that the direct computation of the scitation.org/journal/cha capacity dimension might not be so robust in the case of rough fractals, which could be due to their peculiar feature listed under point (c) above

Read more

Summary

INTRODUCTION

Not completely independent. First, the uncertainty exponent α has a straightforward one-to-one connection with the fractal dimension Db,0 of the basin boundary, being the co-dimension α = D − Db,0, where D is the dimension of the phase space, implying that the more spacefilling the set, the poorer the predictability of the second kind. Predictability of the second kind is completely lost, α = 0, with an extreme time-scale separation λx/λU → 0, even if in the uncoupled/unperturbed ( X = 0) bistable system X we had perfect predictability of the second kind, D(1x) = 0, α = 1 We encountered such situations in the case of a bistable climate model of intermediate complexity.. In our model studied in Ref. 12 a 1D diffusive heat equation serves the same purpose, which, has in common with the 0D EBM a nonchaotic solution When this oceanice model component (X) was coupled with the chaotic atmosphere (Y), the originally regular basin boundary was found to turn into a practically space-filling object. V, we discuss our results here and those in Ref. 12, including the practical (ir)relevance of the type of fractality, rough or filamentary, and pose some open questions of geophysical relevance

Condition for roughness
Co-dimension of the basin boundary
Partial dimensions of rough basin boundaries
MINIMAL MODELS FOR ROUGH BASIN BOUNDARIES
Simple rough boundary
Mixed filamentary and rough boundary
NUMERICAL CALCULATION OF THE FRACTAL
DISCUSSION AND OUTLOOK
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call