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Pitchfork Bifurcation 📂Dynamics

Pitchfork Bifurcation

Definition 1 2

Pitchfork Bifurcation refers to a type of bifurcation in dynamical systems where the stability of a fixed point is reversed, and two new fixed points emerge or disappear as a parameter changes.

Normal Form

Pitchfork bifurcation comes in two types: Supercritical and Subcritical, with the following normal forms:

  • Supercritical: x˙=rxx3\dot{x} = rx - x^{3}
  • Subcritical: x˙=rx+x3\dot{x} = rx + x^{3}

Diagrams

The bifurcation diagrams for pitchfork bifurcation are as follows:

  • Supercritical: super.png
  • Subcritical: sub.png

Explanation

A pitchfork is a farming tool that is sometimes referred to as a hayfork. As can be inferred from its appearance, it is named after the way one fixed point splits into three, resembling a pitchfork, and it’s often mentioned as a textbook example of bifurcation.

Formal Definition 3

For a vector field that is not in normal form x˙=f(x,μ)x,μR1 \dot{x} = f \left( x, \mu \right) \qquad x, \mu \in \mathbb{R}^{1} to undergo a pitchfork bifurcation at (x,μ)=(0,0)\left( x, \mu \right) = (0,0) means that x=0x = 0 is a nonhyperbolic fixed point satisfying the following four conditions: fμ(0,0)=02fx2(0,0)=02fxμ(0,0)03fx3(0,0)0 \begin{align*} {{ \partial f } \over { \partial \mu }} (0,0) =& 0 \\ {{ \partial^{2} f } \over { \partial x^{2} }} (0,0) =& 0 \\ {{ \partial^{2} f } \over { \partial x \partial \mu }} (0,0) \ne& 0 \\ {{ \partial^{3} f } \over { \partial x^{3} }} (0,0) \ne& 0 \end{align*} Especially, in the last condition, if 3fx3(0,0)<0{{ \partial^{3} f } \over { \partial x^{3} }} (0,0) < 0, it’s supercritical; if 3fx3(0,0)>0{{ \partial^{3} f } \over { \partial x^{3} }} (0,0) > 0, it’s subcritical. Meanwhile, x=0x=0 being a nonhyperbolic fixed point has the following sufficient condition. It’s not necessary to be exactly fx(0,0)=0f_{x} (0,0) = 0, but it’s much simpler. f(0,0)=0fx(0,0)=0 \begin{align*} f(0,0) =& 0 \\ {{ \partial f } \over { \partial x }} (0,0) =& 0 \end{align*}


  1. Strogatz. (2015). Nonlinear Dynamics And Chaos: With Applications To Physics, Biology, Chemistry, And Engineering(2nd Edition): p56. ↩︎

  2. Kuznetsov. (1998). Elements of Applied Bifurcation Theory: p62. ↩︎

  3. Wiggins. (2003). Introduction to Applied Nonlinear Dynamical Systems and Chaos Second Edition(2nd Edition): p372. ↩︎