Chaos: difference vs differential equation

Click For Summary

Discussion Overview

The discussion revolves around the differences in chaotic behavior between discrete and continuous dynamical systems, specifically focusing on the logistic mapping and its continuous limit represented by a differential equation. Participants explore the implications of transitioning from difference equations to differential equations in the context of chaos theory.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant notes that the logistic mapping exhibits chaos depending on the value of r, while its continuous limit does not show chaotic behavior, prompting a question about the reasons behind this phenomenon.
  • Another participant argues that "chaos" is a general term that varies by system and emphasizes the need for precise definitions in discussing chaotic behavior.
  • A participant clarifies that the continuous limit refers to the case where time steps approach zero, transforming the difference equation into a differential equation.
  • Some participants suggest that the transition to continuous dynamics should be considered through Poincare maps rather than a direct limit argument.
  • There is a discussion about the relationship between finite-dimensional systems and chaotic behavior, with one participant stating that chaos manifests only for finite time intervals.
  • One participant references reading material that suggests first-order scalar differential equations cannot exhibit periodic behavior due to topological reasons, although this claim is met with some skepticism and further clarification regarding the context of periodic solutions.
  • Another participant provides an example of a dynamical system on the circle that exhibits periodic solutions, highlighting the importance of the topology of the space in which the system is defined.

Areas of Agreement / Disagreement

Participants express differing views on the definitions and implications of chaos in discrete versus continuous systems. There is no consensus on the relationship between the two forms of dynamics or the conditions under which chaotic behavior can be observed.

Contextual Notes

The discussion includes references to topological considerations and the nature of dynamical systems, indicating that the understanding of chaos may depend on the specific mathematical framework employed.

haushofer
Science Advisor
Insights Author
Messages
3,080
Reaction score
1,599
Dear all,

I have a question concerning chaos. As you may well know, the logistic mapping $$x_{n+1} = rx_n (1-x_n) $$ exhibits chaos, depending on the value of r. This logistic mapping is a reparametrized version of the difference equation

$$x_{n+1} = x_n + k x_n (1 - \frac{x_n}{M}) $$

describing exponential growth with a maximum. The continuous limit of this difference equation, where x=x(t), is the differential equation

$$\frac{dx}{dt} = kx \Bigl(1 - \frac{x}{M}\Bigr) $$

In the continuous limit this differential equation somehow does not exhibit chaotic behaviour anymore. Intuitively I can understand this, because the solution of this differential equation, when x_0 < M, describes an S-like curve between x(t)=x_0 and x(t)=M, and hence one does not have periodic solutions anymore. My question is: why exactly does the chaotic behaviour disappear in the continuous limit? Are there some theorems about this (e.g. theorems forbidding chaotic behaviour for scalar differential equations, as opposed to sets of differential equations like the one of Lorenz)? I tried to look for some resources and found a lot of notes describing the logistic mapping, but hardly any of them is describing the continuous limit (i.e., chaotic behaviour if one goes from the difference equation to the differential equation). Any help is appreciated!
 
Physics news on Phys.org
"Chaos" is a very general and informal term which assigns that trajectories of a dynamical system have a complicated behaviour. In different systems this term has different sense.The term "chaos" is specified for every concrete system or concrete classes of systems by mathematical definition. If there is no definition then nothing to speak about. For example a shift of the circle
##x\mapsto x+\omega\pmod {2\pi},\quad \omega\notin 2\pi\mathrm{Q}## is a chaotic mapping (it is ergodic) but erogdicity of hyprerbolic systems has completely different nature.The trajectories of the shift of the circle do not run from each other. In such a sense the shift is not a chaotic mapping
I do not think that you find an answer your question because "continuous limit" is also a very informal term from physics books.
Speaking informally, mappings are associated with Poincare mappings in continuous systems rather than with "continuous limit"
 
Last edited:
With the continuous limit, I mean the limit in which the time steps $$\Delta t \rightarrow 0 $$. If one originally had time steps of one, $$\Delta t = 1$$, then

$$x_{n+1} - x_n = \frac{x_{n+1} - x_n}{\Delta t}$$

and hence in the limit \Delta t \rightarrow 0 the difference becomes a derivative and the difference equation becomes a differential equation. This is what I refer to as the continuous limit, but maybe that's sloppy language :)
 
again . mathematically correct way to shift to the discrete dynamics is considering of Poincare map in continuous dynamical system, not the argument you are speaking about
 
Because chaos in finite dimensional systems is manifested only for ##t\in [0,\infty)## but for infinite time your discrete approximation does not have any relation to original continuous system.
 
Well, that's basically my question: what is the relation? :P

I'm now reading up some stuff, in Strogatz, and start to see that first order scalar differential equations cannot exhibit periodic behaviour due to topological reasons. This, in combination which your remark, answers my question I guess.
 
haushofer said:
first order scalar differential equations cannot exhibit periodic behaviour due to topological reasons
It depends on how to understand this phrase

Consider a dynamical system on the circle
##\dot x=1## here ## x\in S^1=\mathbb{R}/(2\pi\mathbb{Z})## is the angle variable. All the solutions are periodic
By the way it is an ergodic dynamical system with respect to the standard Lebesgue measure in ##S^1##
 
Yes, I didn't mention that that x is defined on the line, and not on the circle. For that second topology, it's a different matter.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 13 ·
Replies
13
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 15 ·
Replies
15
Views
3K
  • · Replies 16 ·
Replies
16
Views
4K
  • · Replies 0 ·
Replies
0
Views
4K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K