Pitchfork bifurcation: Difference between revisions
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{{Short description|Bifurcation from a system having one fixed point to three fixed points}} |
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{{Other uses|Pitchfork (disambiguation)}} |
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{{Refimprove section|date=October 2017}} |
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In [[bifurcation theory]], a field within [[mathematics]], a '''pitchfork bifurcation''' is a particular type of local bifurcation. Pitchfork bifurcations, like [[Hopf bifurcation]]s have two types |
In [[bifurcation theory]], a field within [[mathematics]], a '''pitchfork bifurcation''' is a particular type of local [[bifurcation theory|bifurcation]] where the system transitions from one fixed point to three fixed points. Pitchfork bifurcations, like [[Hopf bifurcation]]s, have two types – supercritical and subcritical. |
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In continuous dynamical systems described by [[Ordinary differential equation|ODEs]]—i.e. flows—pitchfork bifurcations occur generically in systems with [[symmetry in mathematics|symmetry]]. |
In continuous dynamical systems described by [[Ordinary differential equation|ODEs]]—i.e. flows—pitchfork bifurcations occur generically in systems with [[symmetry in mathematics|symmetry]]. |
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==Supercritical case== |
==Supercritical case== |
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[[ |
[[File:Scheme of pitchfork bifurcation supercritical.png|thumb|Supercritical case: solid lines represent stable points, while dotted line represents unstable one.]] |
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represents unstable one.]] |
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The [[normal form (bifurcation theory)|normal form]] of the supercritical pitchfork bifurcation is |
The [[normal form (bifurcation theory)|normal form]] of the supercritical pitchfork bifurcation is |
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:<math> \frac{dx}{dt}=rx-x^3. </math> |
:<math> \frac{dx}{dt}=rx-x^3. </math> |
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For |
For <math>r<0</math>, there is one stable equilibrium at <math>x = 0</math>. For <math>r>0</math> there is an unstable equilibrium at <math>x = 0</math>, and two stable equilibria at <math>x = \pm\sqrt{r}</math>. |
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==Subcritical case== |
==Subcritical case== |
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[[ |
[[File:Scheme of pitchfork bifurcation subcritical.png|thumb|Subcritical case: solid line represents stable point, while dotted lines represent unstable ones.]] |
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represent unstable ones.]] |
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The [[normal form (bifurcation theory)|normal form]] for the subcritical case is |
The [[normal form (bifurcation theory)|normal form]] for the subcritical case is |
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:<math> \frac{dx}{dt}=rx+x^3. </math> |
:<math> \frac{dx}{dt}=rx+x^3. </math> |
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An ODE |
An ODE |
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:<math> \dot{x}=f(x,r)\,</math> |
:<math> \dot{x}=f(x,r)\,</math> |
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described by a one parameter function <math>f(x, r)</math> with <math> r \in \ |
described by a one parameter function <math>f(x, r)</math> with <math> r \in \mathbb{R}</math> satisfying: |
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:<math> -f(x, r) = f(-x, r)\,\,</math><!-- the \,\, is to force no-hinting in the antialiasing mode of pngtex - please do not remove it! --> (f is an [[odd function]]), |
:<math> -f(x, r) = f(-x, r)\,\,</math><!-- the \,\, is to force no-hinting in the antialiasing mode of pngtex - please do not remove it! --> (f is an [[odd function]]), |
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:<math> |
:<math>\begin{align} |
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\begin{array}{lll} |
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\frac{\partial^2 f}{\partial x^2}(0, r_0) &= 0, & |
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\frac{\partial^3 f}{\partial x^3}(0, r_0) &\neq 0, \\[5pt] |
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\frac{\partial f}{\partial r}(0, r_0) &= 0, & |
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\\[12pt] |
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\end{align}</math> |
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</math> |
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has a '''pitchfork bifurcation''' at <math>(x, r) = (0, |
has a '''pitchfork bifurcation''' at <math>(x, r) = (0, r_0)</math>. The form of the pitchfork is given |
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by the sign of the third derivative: |
by the sign of the third derivative: |
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:<math> \frac{\ |
:<math> \frac{\partial^3 f}{\partial x^3}(0, r_0)\begin{cases} |
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\left\{ |
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\begin{matrix} |
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\,\, |
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\end{matrix} |
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\right.\,\, |
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</math><!-- the \,\, is to force no-hinting in the antialiasing mode of pngtex - please do not remove it! --> |
</math><!-- the \,\, is to force no-hinting in the antialiasing mode of pngtex - please do not remove it! --> |
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Note that subcritical and supercritical describe the stability of the outer |
Note that subcritical and supercritical describe the stability of the outer lines of the pitchfork (dashed or solid, respectively) and are not dependent on which direction the pitchfork faces. For example, the negative of the first ODE above, <math>\dot{x} = x^3 - rx</math>, faces the same direction as the first picture but reverses the stability. |
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== See also == |
== See also == |
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* [[Bifurcation theory]] |
* [[Bifurcation theory]] |
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* [[Bifurcation diagram]] |
* [[Bifurcation diagram]] |
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[[Category:Bifurcation theory]] |
[[Category:Bifurcation theory]] |
Latest revision as of 03:21, 7 May 2024
This section needs additional citations for verification. (October 2017) |
In bifurcation theory, a field within mathematics, a pitchfork bifurcation is a particular type of local bifurcation where the system transitions from one fixed point to three fixed points. Pitchfork bifurcations, like Hopf bifurcations, have two types – supercritical and subcritical.
In continuous dynamical systems described by ODEs—i.e. flows—pitchfork bifurcations occur generically in systems with symmetry.
Supercritical case
[edit]The normal form of the supercritical pitchfork bifurcation is
For , there is one stable equilibrium at . For there is an unstable equilibrium at , and two stable equilibria at .
Subcritical case
[edit]The normal form for the subcritical case is
In this case, for the equilibrium at is stable, and there are two unstable equilibria at . For the equilibrium at is unstable.
Formal definition
[edit]An ODE
described by a one parameter function with satisfying:
- (f is an odd function),
has a pitchfork bifurcation at . The form of the pitchfork is given by the sign of the third derivative:
Note that subcritical and supercritical describe the stability of the outer lines of the pitchfork (dashed or solid, respectively) and are not dependent on which direction the pitchfork faces. For example, the negative of the first ODE above, , faces the same direction as the first picture but reverses the stability.
See also
[edit]References
[edit]- Steven Strogatz, Non-linear Dynamics and Chaos: With applications to Physics, Biology, Chemistry and Engineering, Perseus Books, 2000.
- S. Wiggins, Introduction to Applied Nonlinear Dynamical Systems and Chaos, Springer-Verlag, 1990.