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Identification of Sinks and Sources in One-Dimensional Maps 📂Dynamics

Identification of Sinks and Sources in One-Dimensional Maps

Theorem1

Let’s say some pRp \in \mathbb{R} is a fixed point for a smooth map f:RRf : \mathbb{R} \to \mathbb{R}.

  • [1] If f(p)<1| f ' (p) | < 1, then pp is a sink.
  • [2] If f(p)>1| f ' (p) | > 1, then pp is a source.

Example

As an example of a 11-dimensional map, consider f(x)=x3f(x) = x^3 which makes it easy to see that the fixed point f(0)=0f(0) = 0 is a sink, and f(1)=1f(1) = 1 is a source since f(x)=3x2f ' (x) = 3x^{2}.

Proof

Proof of Theorem [1]

Let’s assume a(f(p),1)a \in \left( | f '(p) | , 1 \right).

limxpf(x)f(p)xp=f(p) \lim_{x \to p} {{ | f(x) - f(p) | } \over { | x - p | }} = | f ' (p) |

Therefore, for all xNϵ(p)x \in N_{\epsilon } ( p),

f(x)f(p)xp<a {{ | f(x) - f(p) | } \over { | x - p | }} < a

There must exist ϵ>0\epsilon > 0 such that, meaning f(x)p<axp| f(x) - p | < a | x - p | but since a<1a < 1, it gets closer to pp every time ff is applied to xx. In other words, for all kNk \in \mathbb{N}, fk(x)pakxp\left| f^{k} (x) - p \right| \le a^{k} | x - p |, thus pp must be a sink.

Proof of Theorem [2]

Let’s assume a(1,f(p))a \in \left( 1, | f '(p) | \right).

limxpf(x)f(p)xp=f(p) \lim_{x \to p} {{ | f(x) - f(p) | } \over { | x - p | }} = | f ' (p) |

Therefore, for all xNϵ(p)x \in N_{\epsilon } ( p),

f(x)f(p)xp>a {{ | f(x) - f(p) | } \over { | x - p | }} > a

There must exist ϵ>0\epsilon > 0 such that, meaning f(x)p>axp| f(x) - p | > a | x - p | but since a>1a > 1, it gets further from pp every time ff is applied to xx. In other words, for all kNk \in \mathbb{N}, fk(x)pakxp\left| f^{k} (x) - p \right| \ge a^{k} | x - p |, thus pp must be a source.


  1. Yorke. (1996). CHAOS: An Introduction to Dynamical Systems: p10. ↩︎