Classification of Equlibrium Points

In summary, the classification of equilibrium points involves categorizing them based on their stability and behavior in dynamical systems. Equilibrium points can be classified as stable, unstable, or semi-stable, depending on the response of nearby trajectories to small perturbations. Stable points attract trajectories, while unstable points repel them. Semi-stable points exhibit stability in one direction and instability in another. This classification helps in understanding the system's long-term behavior and is essential in fields such as physics, biology, and engineering.
  • #1
Martyn Arthur
118
20
Homework Statement
Find and classify equlibrium points of this system of non linear equations considering a Jacobian maitrix
Relevant Equations
dx/dt = -y+1
dy/dt = x^2- y^2
I hope this is more properly laid out?
We previously established that the stationery points were (1,1) and (-1,1)
For this first stage I now need to create the elements of a Jacobian maitrix using partial differentation.
I am confused by reference to the chain rule.
Am I correct that for dx/dt =-y +1 the elements are -y as a constant and 1 with y differentiated.
Then for dy/dt = x^2 - y^2 the elements are -2y with x ignored as a constant and 2x with -2y ignored as a constant.
Thanks
Martyn
 
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  • #2
For the system [tex]
\dot x = f(x,y), \quad \dot y = g(x,y)[/tex] the Jacobian matrix is [tex]
\begin{pmatrix} \frac{\partial f}{\partial x} & \frac{\partial f}{\partial y} \\
\frac{\partial g}{\partial x} & \frac{\partial g}{\partial y} \end{pmatrix}.[/tex]
 
  • #3
Have I correctly calculated the elements that I need to use for the eigenvecor calculation as
dx/dt =-y +1 the elements are -y as a constant and 1 with y differentiated.
for dy/dt = x^2 - y^2 the elements are -2y with x ignored as a constant and 2x with -2y ignored as a constant.
Thanks
Martyn
 
  • #4
Martyn Arthur said:
Have I correctly calculated the elements that I need to use for the eigenvecor calculation as
dx/dt =-y +1 the elements are -y as a constant and 1 with y differentiated.
No. If you're treating ##y## as a constant, its derivative with respect to ##x## is 0.
 
  • #5
@Martyn Arthur, can I add this...

##f(x,y) = -y+1## (If you don't like the absence of '##x##', think about the right hand side as ##-y+1 +0x##)

What are ##\frac {\partial f}{\partial x}## and ##\frac {\partial f}{\partial y}##?

##g(x,y) = x^2 - y^2##

What are ##\frac {\partial g}{\partial x}## and ##\frac {\partial g}{\partial y}##?

Also, you might find this video useful as it walks you through a similar-ish problem.
 
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  • #6
Thanks; hopefully this gets it and I can move to the Jacobian Maitrix?
1711365475222.png
 
  • #7
Herem from the video I am unclear about the process, are the functions f and g being integrated to their original form and the differentiated to find the partial derivatives?
Thanks
Martyn

1711366683286.png
 
  • #8
I’m not sure if you are replying to my post #5 or to a different post. If to post #5, you didn't answer the questions I asked (i.e. what are the 4 required partial derivatives?). And you didn’t say if you watched the suggested video.

The handwriting in your attachment is hard to read but I note that it says ##g(x,y)= x^2+y^2## which is not the same as ##g(x,y)= x^2-y^2## in Post #1. So you need to check which one is correct.

If you post typed - not-hand-written - working, ideally using LatTex for equations, you will get more/better responses. See the forum guidelines: https://www.physicsforums.com/threads/homework-help-guidelines-for-students-and-helpers.686781/

And see the LaTex guide: https://www.physicsforums.com/help/latexhelp/ (which is the link just below the bottom-left of the edit window).
 
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Likes PeroK
  • #9
Thanks; I will check it and improve my handwriting; I have looked at latex but I am finding the course difficult and struggling to find time to learn something else just now.
I did look at the video; he seems to be approaching the Jacobian maitrix differently from my tutor.
My overall question has been too vague alltogether; I will take a step back and rephrase it properly.
Thanks for your patience
Martyn
 
  • #10
Reviewing;
I am wasting your time sorry.
I have six weeks to get on top of this.
I need to get back to basics and work through piece by piece.
Maybe I can take a rain check with you at those stages please.
Thanks
 
  • #11
Would it be ok if I rework each of the sessions and check with you (with proper data) that I have an understanding?
I don't want to knock the OU system, itsmy University, but in large part it relies on peer to peer analysis - v - actual consulation and checking witha tutor.
Its ok but then getting difinitive solutions can be, and are abstract, not necessarlily correct or adequately constructive.
The interacting with a tutor takes ...a while.
Again not knocking the OU but tutor interactions are in large part substituted by peer - peer.
Here I find that your requirement for me to properly frame a question leads to a better understanding of the question; and of course thus the answer!
Anyway; thanks again
Martyn
 
  • #12
Its just so frustratting and unneccsary.
Just an ancilliary, mt lab partner (an English Teacher) and I did a 90 hour experiment following explicitly the instructions given.
We downloaded the data and inspected the files without finding the required data
My lab partner contacted his tutor, mine is reticent in replying and the data was downloadable on the TITR tab but we weren't told this.
I contacted my tutor but have not had a reply.
Knowing what we need to know my partner and I can redo the experiment if the System allows.
Upwards and Onwards
Sorry to be a Nag; thanks for patience as always.
Martyn


1711390424527.png
 

FAQ: Classification of Equlibrium Points

What is an equilibrium point in a dynamical system?

An equilibrium point in a dynamical system is a point where the system remains at rest if it is not disturbed. Mathematically, it is a point where the derivatives of the system's state variables are zero, meaning that there is no change in the state variables over time.

How are equilibrium points classified?

Equilibrium points are typically classified based on their stability and the nature of their surrounding trajectories. The main categories are stable (attracting) equilibrium points, unstable (repelling) equilibrium points, and saddle points. These classifications can further be detailed using linearization techniques and eigenvalue analysis.

What is the difference between a stable and an unstable equilibrium point?

A stable equilibrium point is one where small perturbations or deviations from the equilibrium will decay over time, causing the system to return to the equilibrium state. In contrast, an unstable equilibrium point is one where small deviations grow over time, causing the system to move away from the equilibrium state.

How can eigenvalues be used to determine the stability of an equilibrium point?

The stability of an equilibrium point can be analyzed by examining the eigenvalues of the Jacobian matrix evaluated at that point. If all eigenvalues have negative real parts, the equilibrium point is stable. If any eigenvalue has a positive real part, the equilibrium point is unstable. If eigenvalues have zero real parts, further analysis is required to determine stability.

What is a saddle point in the context of equilibrium points?

A saddle point is a type of equilibrium point that is characterized by having both stable and unstable directions. This means that in some directions, small perturbations will decay and the system will return to the equilibrium, while in other directions, perturbations will grow and the system will move away from the equilibrium. Saddle points are inherently unstable.

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