Bifurcations and Center Manifold

In summary, the system can be transformed so that the critical point is at the origin by letting \bar{v} = v + 1/2 and finding the equations of motion for (u, \bar{v}). This is done by substituting \bar{v} for v in the original equations of motion and making the necessary adjustments, resulting in \dot{u} = u and \dot{\bar{v}} = (\bar{v} - 1/2)^2 + (\bar{v} - 1/2) - u + 1/4.
  • #1
Rubik
97
0

Homework Statement



If β=0 the neurone model is [itex]\dot{u}[/itex]= -u
[itex]\dot{v}[/itex]= v2 + v - u + [itex]\delta[/itex]
If [itex]\delta[/itex] = 1/4 it has critical point (0,-1/2)

Transform the system so that the critical point is at the origin so let [itex]\bar{v}[/itex] = v +1/2 and find the equations of motion for (u,[itex]\bar{v}[/itex])

Homework Equations





The Attempt at a Solution



Does this mean for a change of variables I let [itex]\bar{u}[/itex] =u and [itex]\bar{v}[/itex]= v + 1/2 subs in gives

[itex]\dot{u}[/itex] = [itex]\bar{u}[/itex]
[itex]\dot{v}[/itex] = [itex]\bar{v}[/itex]2 + [itex]\bar{u}[/itex]

Is that all I have to do?
 
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  • #2
Rubik said:

Homework Statement



If β=0 the neurone model is [itex]\dot{u}[/itex]= -u
[itex]\dot{v}[/itex]= v2 + v - u + [itex]\delta[/itex]
If [itex]\delta[/itex] = 1/4 it has critical point (0,-1/2)

Transform the system so that the critical point is at the origin so let [itex]\bar{v}[/itex] = v +1/2 and find the equations of motion for (u,[itex]\bar{v}[/itex])

Homework Equations





The Attempt at a Solution



Does this mean for a change of variables I let [itex]\bar{u}[/itex] =u and [itex]\bar{v}[/itex]= v + 1/2 subs in gives

[itex]\dot{u}[/itex] = [itex]\bar{u}[/itex]
[itex]\dot{v}[/itex] = [itex]\bar{v}[/itex]2 + [itex]\bar{u}[/itex]

Is that all I have to do?

No. You have a system in terms of v and u and you want to represent that system in terms of new variables which have a critical point at the origin so you can study the system for small changes of t near the origin. If I let say [itex]w=v+1/2[/itex], then [itex]w'=v'[/itex] and [itex]v=w-1/2[/itex]. Now, in terms of u and w, the first one is unchanged but what is w' in terms of u and w:

[tex] u'= u[/tex]
[tex]w'=[/tex]
 

1. What is a bifurcation in the context of mathematics and science?

A bifurcation is a critical point in a system where small changes in parameters can lead to large and abrupt changes in the behavior of the system. This can often result in the system having multiple steady states or solutions, and the specific type of bifurcation depends on the underlying equations and conditions.

2. How does a center manifold affect the behavior of a system?

A center manifold is a special type of manifold that exists at a bifurcation point, and it can greatly influence the dynamics of a system. It acts as an organizing structure for the system, determining the paths that solutions will take near the bifurcation point and allowing for the existence of new solutions.

3. Can bifurcations and center manifolds be observed in real-world systems?

Yes, bifurcations and center manifolds can be observed in a wide range of natural and man-made systems. Examples include chemical reactions, population dynamics, and electronic circuits. These concepts are also used in fields such as biology, economics, and engineering to better understand and predict the behavior of complex systems.

4. How are bifurcations and center manifolds related to chaos theory?

Bifurcations and center manifolds are closely related to chaos theory, as they both deal with the behavior of nonlinear systems. Bifurcations can lead to the emergence of chaotic behavior in a system, while center manifolds can help to organize and understand the chaotic dynamics. Both concepts are important in studying and predicting the behavior of chaotic systems.

5. Are there any practical applications of studying bifurcations and center manifolds?

Yes, the study of bifurcations and center manifolds has many practical applications. These concepts are used in fields such as control theory, where understanding the behavior of nonlinear systems is crucial for designing effective control strategies. They are also important in predicting and managing the behavior of complex systems in various industries, such as finance and weather forecasting.

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