Approximating Damped Oscillator Time Period and Frequency with Large n

AI Thread Summary
The discussion centers on approximating the time period and frequency of a damped oscillator after a large number of oscillations, specifically when the amplitude drops to 1/e of its original value. For part (a), the derived relationship shows that the ratio of the damped period to the undamped period is approximately 1 plus a small correction term, which is clarified through the use of square root approximations. In part (b), the frequency ratio is similarly approximated, indicating that the damped frequency is slightly less than the undamped frequency. The conversation highlights the importance of applying mathematical approximations for small values in deriving these relationships. Overall, the thread provides insights into the behavior of damped oscillators in physics.
Allan McPherson
Messages
4
Reaction score
0

Homework Statement



An oscillator when undamped has a time period T0, while its time period when damped. Suppose after n oscillations the amplitude of the damped oscillator drops to 1/e of its original value (value at t = 0).

(a) Assuming that n is a large number, show that $$\frac{T}{T_0}=\left (1+\frac{1}{4n^2\pi^2}\right) \approx 1 + \frac{1}{8n^2\pi^2}$$
(b) Assuming that n is a large number, show that $$\frac{\omega}{\omega_0} \approx 1 - \frac{1}{8n^2\pi^2}$$

Homework Equations


$$x(t) = A e^{-\gamma t}cos(\omega t + \phi)$$
$$T = \frac{2 \pi}{\omega}$$
$$\omega = \sqrt{\omega_0^2 - \gamma^2}$$

The Attempt at a Solution


[/B]
I've managed to get the equality for both parts. We want $$\frac{A}{e} = A e^{-\gamma t}cos(\omega t + \phi)$$
which is only true if
##\gamma n T = 1,## ##\omega n T = 2n\pi## and ##\phi = 2m\pi##​
which implies $$T = \frac{1}{\gamma n} = \frac{2\pi}{\omega}$$
So $$\omega_0 = \gamma\sqrt{1 + 4n^2\pi^2}$$
And
$$\frac{T}{T_0} = \frac{\omega_0}{\omega}=\frac{\gamma\sqrt{1+4n^2\pi^2}}{2n\pi\gamma}$$ $$=\frac{\sqrt{1+4n^2\pi^2}}{4n^2\pi^2} = \left ( 1 + \frac{1}{4n^2\pi^2} \right )^{1/2}$$
The answer to part (b) will clearly involve taking the inverse of the right-hand side of the equality and applying the same or a similar approximation.

I know I've seen this approximation before, but I can't for the life of me remember how it works. l would appreciate any help that can be offered.
 
Physics news on Phys.org
Allan McPherson said:

Homework Statement



An oscillator when undamped has a time period T0, while its time period when damped ?. Suppose after n oscillations the amplitude of the damped oscillator drops to 1/e of its original value (value at t = 0).

(a) Assuming that n is a large number, show that $$\frac{T}{T_0}=\left (1+\frac{1}{4n^2\pi^2}\right) \approx 1 + \frac{1}{8n^2\pi^2}$$
You miss a square root:
$$\frac{T}{T_0}=\sqrt{\left (1+\frac{1}{4n^2\pi^2}\right)} \approx 1 + \frac{1}{8n^2\pi^2}$$

If x << 1,
##\sqrt{1+x}=\sqrt{(1+x/2)^2-(x/2)^2 }\approx \sqrt{(1+x/2)^2}=1+x/2##

Also ##\frac{1}{1+x}## is the sum of the geometric series 1-x+x^2-x^3+..., approximately 1-x if x << 1.
 
Allan McPherson said:
$$=\frac{\sqrt{1+4n^2\pi^2}}{4n^2\pi^2} = \left ( 1 + \frac{1}{4n^2\pi^2} \right )^{1/2}$$
You meant
$$=\sqrt{\frac{1+4n^2\pi^2}{4n^2\pi^2}} = \left ( 1 + \frac{1}{4n^2\pi^2} \right )^{1/2}$$
 
Thank you. That clarifies the approximation for part (a). I'm not sure how that helps with part (b), though.

For part (b) I have $$\frac{\omega}{\omega_0} = \frac{2n\pi}{\sqrt{1+4n^2\pi^2}} = \sqrt{\frac{4n^2\pi^2}{1+4n^2\pi^2}} = \sqrt{1 - \frac{1}{4n^2\pi^2}}$$
 
Last edited:
Allan McPherson said:
Thank you. That clarifies the approximation for part (a). I'm not sure how that helps with part (b), though.

For part (b) I have $$\frac{\omega}{\omega_0} = \frac{2n\pi}{\sqrt{1+4n^2\pi^2}} = \sqrt{\frac{4n^2\pi^2}{1+4n^2\pi^2}} = \sqrt{1 - \frac{1}{4n^2\pi^2}}$$
Let be ##x=-\frac{1}{4n^2\pi^2}## . |x|<<1, apply the approxiamation for the square root as in Post #2.
 
Last edited:
Right. Looking at that again, I'm not sure how I thought that could be right. Thank you for your help.
 
I multiplied the values first without the error limit. Got 19.38. rounded it off to 2 significant figures since the given data has 2 significant figures. So = 19. For error I used the above formula. It comes out about 1.48. Now my question is. Should I write the answer as 19±1.5 (rounding 1.48 to 2 significant figures) OR should I write it as 19±1. So in short, should the error have same number of significant figures as the mean value or should it have the same number of decimal places as...
Thread 'A cylinder connected to a hanging mass'
Let's declare that for the cylinder, mass = M = 10 kg Radius = R = 4 m For the wall and the floor, Friction coeff = ##\mu## = 0.5 For the hanging mass, mass = m = 11 kg First, we divide the force according to their respective plane (x and y thing, correct me if I'm wrong) and according to which, cylinder or the hanging mass, they're working on. Force on the hanging mass $$mg - T = ma$$ Force(Cylinder) on y $$N_f + f_w - Mg = 0$$ Force(Cylinder) on x $$T + f_f - N_w = Ma$$ There's also...
Back
Top