Determining stable and unstable equilibrium points

In summary, the conversation discussed the derivation of the equation of motion for a bead using the Lagrangian method, as well as the equilibrium points and stability of the system. The goal was to show that only one of the equilibrium points (θ=0 and π) is stable against small deviations from equilibrium. This was done by considering small deviations δθ=θ−θe from equilibrium and rearranging the equation of motion for the acceleration to obtain an equation of the form \ddot{x}+ax=0, where x is the small deviation. This allowed for the determination of the stability of the system based on the sign of the constant 'a'.
  • #1
chipotleaway
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0
Background:
I've derived the equation of motion of the bead shown in the picture below using the Lagrangian
[tex]\omega^2Rsin(\theta)+r\ddot{\theta}=0[/tex]
The equilibrium points are at θ=0 and π. I'm now to show that only one of these points is stable.

Homework Statement


Show that only one of the equilibrium points is stable against small deviations from equilibrium. Do so by considering small deviations [tex]\delta \theta=\theta-\theta_{equilibrium}[/tex] from equilibrium.

The Attempt at a Solution


Rearranging the equation of motion for the acceleration [itex]\ddot{\theta}[/itex], we have [tex]\ddot{\theta}=-\frac{\omega^2R}{r}sin(\theta)[/tex]

For small angles [itex]\theta[/itex] deviating from 0, sin(θ)≈θ so the above equation becomes [itex]\ddot{theta}=-\frac{\omega^2R}{r}\theta[/itex]. Similarly for deviations from angle of π, sin(θ-π)≈θ-π and therefore [itex]\ddot{\theta}=-\frac{\omega^2R}{r}\theta--\frac{\omega^2R}{r}\pi[/itex].

The latter is larger in magnitude than the former so the acceleration with be bigger and hence it's unstable (but this doesn't really prove anything, does it?). Don't know what I'm doing here!
 

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  • #2
Please fix your equations.

The whole point of this "small deviations from equilibrium" business is to obtain the equation ## \ddot x + a x = 0 ##, where ##x## is the small deviation. Then, depending on the sign of ##a##, you either get oscillations (stable) or exponential blow-up (unstable).
 
  • #3
LaTeX isn't showing up for me for some reason - so I can't see what's wrong...

So the second derivative of a number? Does this method have a name?
 
  • #4
chipotleaway said:
LaTeX isn't showing up for me for some reason - so I can't see what's wrong...

In many places, you did not put a backslash in front of theta and omega, so those are rendered as words, not as Greek letters. It is especially weird when you have \ddot on them.

So the second derivative of a number? Does this method have a name?

I do not understand what you said here.
 
  • #5
Ok, fixed for all the symbols I spotted.

Because in your post, you mentioned [itex]\ddot{x}+ax=0[/itex], where x is a small deviation - isn't a small deviation just some number? And you have the double dot to indicate time derivative.
 
  • #6
Well, you have equilibrium at ## \theta = \theta_e ##, then you can change variables via ## \theta = x + \theta_e ## and obtain the equations for ## x ## instead of ## \theta ##, taking into account that ## x ## is small.
 
  • #7
Sorry, I'm not sure I follow. x is a variation from equilibrium angle [itex]\theta_e[/itex] right? i.e. [itex]\delta \theta[/itex]?

And what we want is an equation in terms of x? The substitution you mentioned just gives x=0 though doesn't it? And where did 'a' come from in your first post?
 
  • #8
chipotleaway said:
Sorry, I'm not sure I follow. x is a variation from equilibrium angle [itex]\theta_e[/itex] right? i.e. [itex]\delta \theta[/itex]?

Correct.

And what we want is an equation in terms of x? The substitution you mentioned just gives x=0 though doesn't it?

How so? ## \theta_e ## is a constant, not a variable.

And where did 'a' come from in your first post?

This is whatever you get after recasting the equation in terms of ##x## and using the "small deviation" approximation.
 
  • #9
I must've misinterpreted what you said - thought you meant make the substitution [itex]\theta=x+\theta_e[/itex] and then sub it back into [itex]\theta=\theta_e[/tex].

Could you please show or direct me to an example (or where I can read up on this)?
 
  • #10
Take your equation and let ##\theta_e = \pi##. Then you have ## \omega^2 R \sin (x + \pi) = r \ddot x ##. All that you have to do is approximate the left hand side with something that is linear in ## x ## (remember, x is assumed to be small).
 
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  • #11
I couldn't figure it all out in time for my assignment but thanks for your help. Definitely something I will come back to after my exams
 

What is the concept of stable and unstable equilibrium points?

Stable and unstable equilibrium points refer to the state of a system where it remains in balance or returns to its original state after being disturbed. A stable equilibrium point is one where the system returns to its original state after a small disturbance, while an unstable equilibrium point is one where the system moves away from its original state after a small disturbance.

How are stable and unstable equilibrium points determined?

Stable and unstable equilibrium points can be determined by analyzing the forces acting on a system and finding the points where the net force is equal to zero. The behavior of the system at those points can indicate whether they are stable or unstable equilibrium points.

What factors can affect the stability of equilibrium points?

The stability of equilibrium points can be affected by factors such as the shape of the potential energy curve, the strength of the forces acting on the system, and the presence of dissipative forces such as friction or air resistance.

Can a system have multiple equilibrium points?

Yes, a system can have multiple equilibrium points, both stable and unstable. The number and type of equilibrium points depend on the complexity of the system and the forces acting on it.

Why is it important to identify stable and unstable equilibrium points?

Identifying stable and unstable equilibrium points is important in understanding the behavior of a system and predicting its response to external disturbances. It can also help in designing and controlling systems to achieve desired outcomes.

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