Chaos and the Lorenz Equations

In summary, the Lorenz equations with specific values for σ, b, and r serve as an example of a chaotic system with a strange attractor. This means that even small differences in initial conditions can lead to vastly different outcomes over time. Despite this chaotic behavior, volumes in phase space exhibit exponential decay, causing all initial points to eventually collapse onto the same flow. However, this contradicts the concept of sensitive dependence on initial conditions, which does not necessarily result in unbounded attractors.
  • #1
fayled
177
0
Take the Lorenz equations
x'=σ(y-x)
y'=rx-y-xz
z'=xy-bz
with σ=10, b=8/3 and r=28 as a typical example of chaos (I am using primes to indicate total time derivatives in this post).

A basic property of a chaotic system (where the flow in phase space is a strange attractor) is that if you pick two initial points (corresponding to initial conditions) in phase space a tiny distance apart and follow their flows, their separation will grow exponentially.

If we consider the evolution of volumes in phase space, we find that
V'=V(∇.u)
where here ∇.u=-(σ+1+b) so that
V(t)=V(0)exp[-(σ+1+b)t]
and hence volumes in phase space exhibit exponetial decay. Now let's pick a volume containing loads of initial points - this tells us it is going to contract exponentially. This makes sense if we are considering the regime in which normal attractors exist in phase space because I would expect everything to collapse towards stable orbits or stable fixed points.

However in our chaotic regime where we have a strange attractor, I feel as though the above two paragraphs are in contradiction. We pick two initial points in phase space - the first argument tells us that these points give rise to very different flows in phase space, whilst the second says they collapse onto the same flow.

Clearly I am misunderstanding something so would anybody be able to point me in the correct direction? Thank you :)
 
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  • #2
fayled said:
A basic property of a chaotic system (where the flow in phase space is a strange attractor) is that if you pick two initial points (corresponding to initial conditions) in phase space a tiny distance apart and follow their flows, their separation will grow exponentially.
Can you state the precise mathematical definition that you use for sensitive dependence on initial conditions?
fayled said:
(...) whilst the second says they collapse onto the same flow.
What do you mean by this? The fact that the strange attractor has zero volume does not imply that orbits passing through two different initial conditions on the attractor will coincide either after finite or infinite time. Why do you think there is such an implication?

In any case, sensitive dependence on initial conditions does not mean that if ##p## and ##q## are two initial conditions, then there exist constants ##C > 0## and ##\mu > 0## such that ##\|\phi^t(p) - \phi^t(q)\| \ge C e^{\mu t}## for all ##t \ge 0##. (Here ##\phi## is the flow corresponding to the ODE.) If this were the case, attractors admiting sensitive dependence would always be unbounded.
 

What are the Lorenz equations?

The Lorenz equations are a system of three nonlinear differential equations that describe the behavior of a simplified model of atmospheric convection. They were derived by mathematician Edward Lorenz in the 1960s and are used to study chaotic systems and turbulence.

What is chaos theory?

Chaos theory is a branch of mathematics and physics that studies the behavior of complex systems that are highly sensitive to initial conditions. It deals with chaotic and unpredictable behavior that arises from seemingly simple systems, such as the weather or the motion of a pendulum.

What is the butterfly effect?

The butterfly effect is a concept in chaos theory that states that small changes in initial conditions can have a large impact on the long-term behavior of a system. The name comes from the idea that the flapping of a butterfly's wings in one part of the world can eventually cause a hurricane in another part of the world.

How are the Lorenz equations used?

The Lorenz equations are used to model and study chaotic systems, such as weather patterns, fluid dynamics, and population dynamics. They have also been applied in fields such as economics, biology, and engineering to better understand complex systems and make predictions about their behavior.

Can the Lorenz equations accurately predict the weather?

No, the Lorenz equations are not accurate enough to predict the weather with precision. They are a simplified model of atmospheric convection and do not take into account all of the factors that influence weather patterns. However, they can provide insights into the behavior of chaotic systems and help improve weather forecasting models.

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