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In , especially in the study of , a limit set is the state a dynamical system reaches after an infinite amount of time has passed, by either going forward or backwards in time. Limit sets are important because they can be used to understand the long term behavior of a dynamical system. A system that has reached its limiting set is said to be at equilibrium.


Types
  • fixed points

In general, limits sets can be very complicated as in the case of strange attractors, but for 2-dimensional dynamical systems the Poincaré–Bendixson theorem provides a simple characterization of all nonempty, compact \omega-limit sets that contain at most finitely many fixed points as a fixed point, a periodic orbit, or a union of fixed points and or orbits connecting those fixed points.


Definition for iterated functions
Let X be a , and let f:X\rightarrow X be a continuous function. The \omega-limit set of x\in X, denoted by \omega(x,f), is the set of of the forward orbit \{f^n(x)\}_{n\in \mathbb{N}} of the iterated function f. Hence, y\in \omega(x,f) if and only if there is a strictly increasing sequence of natural numbers \{n_k\}_{k\in \mathbb{N}} such that f^{n_k}(x)\rightarrow y as k\rightarrow\infty. Another way to express this is

\omega(x,f) = \bigcap_{n\in \mathbb{N}} \overline{\{f^k(x): k>n\}},

where \overline{S} denotes the closure of set S. The points in the limit set are non-wandering (but may not be ). This may also be formulated as the outer limit () of a sequence of sets, such that

\omega(x,f) = \bigcap_{n=1}^\infty \overline{\bigcup_{k=n}^\infty \{f^k(x)\}}.

If f is a (that is, a bicontinuous bijection), then the \alpha-limit set is defined in a similar fashion, but for the backward orbit; i.e. \alpha(x,f)=\omega(x,f^{-1}).

Both sets are f-invariant, and if X is , they are compact and nonempty.


Definition for flows
Given a real dynamical system (T,X,\varphi) with flow \varphi:\mathbb{R}\times X\to X, a point x, we call a point y an \omega- limit point of x if there exists a sequence (t_n)_{n \in \mathbb{N}} in \mathbb{R} so that
\lim_{n \to \infty} t_n = \infty
\lim_{n \to \infty} \varphi(t_n, x) = y .

For an orbit \gamma of (T,X,\varphi), we say that y is an \omega- limit point of \gamma, if it is an \omega- limit point of some point on the orbit.

Analogously we call y an \alpha- limit point of x if there exists a sequence (t_n)_{n \in \mathbb{N}} in \mathbb{R} so that

\lim_{n \to \infty} t_n = -\infty
\lim_{n \to \infty} \varphi(t_n, x) = y .

For an orbit \gamma of (T,X,\varphi), we say that y is an \alpha- limit point of \gamma, if it is an \alpha- limit point of some point on the orbit.

The set of all \omega-limit points (\alpha-limit points) for a given orbit \gamma is called \omega- limit set (\alpha- limit set) for \gamma and denoted \lim_{\omega} \gamma (\lim_{\alpha} \gamma).

If the \omega-limit set (\alpha-limit set) is disjoint from the orbit \gamma, that is \lim_{\omega} \gamma \cap \gamma =\varnothing (\lim_{\alpha} \gamma \cap \gamma =\varnothing), we call \lim_{\omega} \gamma (\lim_{\alpha} \gamma) a ω-limit cycle ( α-limit cycle).

Alternatively the limit sets can be defined as

\lim_\omega \gamma := \bigcap_{s\in \mathbb{R}}\overline{\{\varphi(x,t):t>s\}}
and
\lim_\alpha \gamma := \bigcap_{s\in \mathbb{R}}\overline{\{\varphi(x,t):t


Examples
  • For any \gamma of a dynamical system, \lim_{\omega} \gamma =\lim_{\alpha} \gamma =\gamma
  • For any fixed point x_0 of a dynamical system, \lim_{\omega} x_0 =\lim_{\alpha} x_0 =x_0


Properties
  • \lim_{\omega} \gamma and \lim_{\alpha} \gamma are
  • if X is compact then \lim_{\omega} \gamma and \lim_{\alpha} \gamma are , and
  • \lim_{\omega} \gamma and \lim_{\alpha} \gamma are \varphi-invariant, that is \varphi(\mathbb{R}\times\lim_{\omega} \gamma)=\lim_{\omega} \gamma and \varphi(\mathbb{R}\times\lim_{\alpha} \gamma)=\lim_{\alpha} \gamma


See also


Further reading

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