saddle-node bifurcation

{{Short description|Local bifurcation in which two fixed points of a dynamical system collide and anni}}

In the mathematical area of bifurcation theory a saddle-node bifurcation, tangential bifurcation or fold bifurcation is a local bifurcation in which two fixed points (or equilibria) of a dynamical system collide and annihilate each other. The term 'saddle-node bifurcation' is most often used in reference to continuous dynamical systems. In discrete dynamical systems, the same bifurcation is often instead called a fold bifurcation. Another name is blue sky bifurcation in reference to the sudden creation of two fixed points.{{sfn|Strogatz|1994|p=47}}

If the phase space is one-dimensional, one of the equilibrium points is unstable (the saddle), while the other is stable (the node).

Saddle-node bifurcations may be associated with hysteresis loops and catastrophes.

Normal form

A typical example of a differential equation with a saddle-node bifurcation is:

:\frac{dx}{dt}=r+x^2.

Here x is the state variable and r is the bifurcation parameter.

  • If r<0 there are two equilibrium points, a stable equilibrium point at -\sqrt{-r} and an unstable one at +\sqrt{-r}.
  • At r=0 (the bifurcation point) there is exactly one equilibrium point. At this point the fixed point is no longer hyperbolic. In this case the fixed point is called a saddle-node fixed point.
  • If r>0 there are no equilibrium points.{{sfn|Kuznetsov|1998|pp=80–81}}

File:Fold Bifurcation.webm

In fact, this is a normal form of a saddle-node bifurcation. A scalar differential equation \tfrac{dx}{dt} = f(r,x) which has a fixed point at x = 0 for r = 0 with \tfrac{\partial f}{\partial x}(0,0) = 0 is locally topologically equivalent to \frac{dx}{dt} = r \pm x^2 , provided it satisfies \tfrac{\partial^2\! f}{\partial x^2}(0,0) \ne 0 and \tfrac{\partial f}{\partial r}(0,0) \ne 0 . The first condition is the nondegeneracy condition and the second condition is the transversality condition.{{sfn|Kuznetsov|1998|loc=Theorems 3.1 and 3.2}}

Example in two dimensions

Image:Saddlenode.gif

An example of a saddle-node bifurcation in two dimensions occurs in the two-dimensional dynamical system:

: \frac {dx} {dt} = \alpha - x^2

: \frac {dy} {dt} = - y.

As can be seen by the animation obtained by plotting phase portraits by varying the parameter \alpha ,

  • When \alpha is negative, there are no equilibrium points.
  • When \alpha = 0, there is a saddle-node point.
  • When \alpha is positive, there are two equilibrium points: that is, one saddle point and one node (either an attractor or a repellor).

Other examples are in modelling biological switches.{{cite conference |last1=Chong |first1=Ket Hing |last2=Samarasinghe |first2=Sandhya |last3=Kulasiri |first3=Don |last4=Zheng |first4=Jie |year=2015 |title=Computational techniques in mathematical modelling of biological switches |conference=21st International Congress on Modelling and Simulation |hdl=10220/42793 }} Recently, it was shown that under certain conditions, the Einstein field equations of General Relativity have the same form as a fold bifurcation.{{cite journal |doi=10.1016/j.geomphys.2017.10.001 |title=Einstein's field equations as a fold bifurcation |journal=Journal of Geometry and Physics |volume=123 |pages=434–7 |year=2018 |last1=Kohli |first1=Ikjyot Singh |last2=Haslam |first2=Michael C |arxiv=1607.05300 |bibcode=2018JGP...123..434K |s2cid=119196982 }} A non-autonomous version of the saddle-node bifurcation (i.e. the parameter is time-dependent) has also been studied.{{Cite journal|last1=Li|first1=Jeremiah H.|last2=Ye|first2=Felix X. -F.|last3=Qian|first3=Hong|last4=Huang|first4=Sui|date=2019-08-01|title=Time-dependent saddle–node bifurcation: Breaking time and the point of no return in a non-autonomous model of critical transitions|journal=Physica D: Nonlinear Phenomena|volume=395|pages=7–14|doi=10.1016/j.physd.2019.02.005|pmid=31700198 |pmc=6836434 |issn=0167-2789|arxiv=1611.09542|bibcode=2019PhyD..395....7L }}

See also

Notes

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References

  • {{cite book | last1 = Kuznetsov | first1 = Yuri A. | title = Elements of Applied Bifurcation Theory | year = 1998 | publisher = Springer | edition = Second | isbn = 0-387-98382-1 }}
  • {{cite book | last = Strogatz | first = Steven H. | title = Nonlinear Dynamics and Chaos | publisher = Addison Wesley | year = 1994 | isbn = 0-201-54344-3}}
  • {{MathWorld|title=Fold Bifurcation|urlname=FoldBifurcation}}
  • {{cite book | last1 = Chong | first1 = K. H. | last2 = Samarasinghe | first2 = S. | last3 = Kulasiri | first3 = D. | last4 = Zheng | first4 = J. | title = Computational Techniques in Mathematical Modelling of Biological Switches | publisher = In Weber, T., McPhee, M.J. and Anderssen, R.S. (eds) MODSIM2015, 21st International Congress on Modelling and Simulation (MODSIM 2015). Modelling and Simulation Society of Australia and New Zealand, December 2015, pp. 578-584 | year = 2015 | isbn = 978-0-9872143-5-5}}
  • {{cite book | last1 = Kohli | first1 = Ikjyot Singh | last2 = Haslam | first2 = Michael C. | title = Einstein Field Equations as a Fold Bifurcation | publisher = Journal of Geometry and Physics Volume 123, January 2018, Pages 434-437 | year = 2018}}

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