Understanding Simple Pendulum Stability: Linearization and Derivatives

In summary, this conversation discusses linearization and stability in the context of a pendulum's equation of motion. The approach involves truncating the Taylor series expansion of the sine function and finding the equilibrium angle to transform the equation into a second order linear equation. Different values of the reference angle can be used to determine the stability of the system.
  • #1
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Homework Statement



[PLAIN]http://img825.imageshack.us/img825/2673/58894277.png

Homework Equations



sin(theta) ~ theta for small angles.

The Attempt at a Solution



I'm having a hard time understanding what the question is asking since I don't have a lot of experience in stability. My best attempt is to take sin(theta) ~ theta as the linearized equation, but it says to linearize about an arbitrary angle so what if the angle was not small? The only other thing I know about linearizing about a value is to take the derivative of the function ( the solution to the EOM: theta(t) = Acos(wt) ) which is -Awsin(wt) and solve for t = arbitrary angle. But the derivative is a sin function which is not linear...
 
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  • #2
Er, is there an error in the picture? It says third time derivative for the angle, but it's supposed to be second time derivative...

In any case, truncating the Taylor series expansion of the sine,

[tex]\sin \theta \approx \sin \theta_0 + \theta \cos \theta_0[/tex]​

Plugging this into the equation of motion of the pendulum,

[tex]\theta '' + \frac{g}{l} \theta \cos \theta_0 = -\frac{g}{l} \sin \theta_0.[/tex]​

As it is, this is a second order linear equation, but if you want a differential equation with the reference angle set such that there's no constant nonhomogeneous term, you need to look for the angle such that the system is in equilibrium. Setting the angular acceleration to 0, we find

[tex]\theta_\text{eq} = - \tan \theta_0.[/tex]​

We now do a change of variable, [tex]\theta^* = \theta - \theta_\text{eq}[/tex], so that you're left with the differential equation, now in [tex]\theta^*[/tex],

[tex]\theta^* '' + \frac{g}{l}\theta^* \cos \theta_0 = 0.[/tex]​

From this equation, you can use the different values of [tex]\theta_0[/tex] to see if the system is stable or not. Hint: What are the solutions in each case? Are they bounded?

Hope this helps.
 
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FAQ: Understanding Simple Pendulum Stability: Linearization and Derivatives

What is a simple pendulum?

A simple pendulum is a device that consists of a weight or mass suspended from a fixed point by a string, wire, or rod. It is used to demonstrate the principles of simple harmonic motion and is often used in physics experiments.

How does a simple pendulum move?

A simple pendulum moves in a back and forth motion, also known as oscillation. This motion is caused by the force of gravity acting on the pendulum's weight, which pulls it towards the center point or equilibrium position. As the pendulum swings back and forth, it passes through this equilibrium point, continuously repeating the motion.

What is the formula for calculating the period of a simple pendulum?

The formula for calculating the period (T) of a simple pendulum is T = 2π√(L/g), where L is the length of the pendulum and g is the acceleration due to gravity. This formula assumes small angles of oscillation and no air resistance.

How does the length of a simple pendulum affect its stability?

The length of a simple pendulum has a direct effect on its stability. A longer pendulum will have a longer period and therefore a slower oscillation, making it more stable. On the other hand, a shorter pendulum will have a shorter period and a faster oscillation, making it less stable.

What factors can affect the stability of a simple pendulum?

Several factors can affect the stability of a simple pendulum, including the length of the pendulum, the mass of the weight, the angle of release, and external factors like air resistance. These factors can alter the period and amplitude of the pendulum's oscillation, ultimately affecting its stability.

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