Damped Harmonic Oscillator Approximation?

Click For Summary

Discussion Overview

The discussion revolves around the approximation of the damped harmonic oscillator, specifically exploring the relationship between the damping coefficient and the damped frequency. Participants examine the validity of a formula for the damped frequency derived from a series approximation, particularly in the context of small damping.

Discussion Character

  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant presents a formula for the damped frequency, suggesting that if the damping coefficient is much smaller than the natural frequency, a specific approximation holds.
  • Another participant establishes the series approximation using Taylor's theorem, indicating how the formula can be derived from a square root expansion.
  • A participant expresses a desire to become more familiar with Taylor series expansions, noting their prevalence in physics solutions.
  • Another participant affirms the importance of Taylor expansions in physics, providing an example from pendulum motion to illustrate their utility in simplifying equations.

Areas of Agreement / Disagreement

Participants generally agree on the utility of Taylor series expansions in deriving approximations, but there is no consensus on the broader implications or applications of the discussed approximation for the damped harmonic oscillator.

Contextual Notes

Limitations include the assumption that the damping coefficient is significantly smaller than the natural frequency, which may not hold in all scenarios. The discussion does not resolve the applicability of the approximation in different contexts.

cj
Messages
85
Reaction score
0
For a simple damped oscillator...

[tex]\text {Apparently if } \beta \ll \omega_0 } \text { then ...}[/tex]

[tex]\omega_d \approx \omega_0[1-\frac {1}{2}(\beta/\omega_0)^2]}[/tex]

Given that:

[tex]\beta=R_m/2m \text { (where } R_m= \text {mechanical resistance) } \text { and } \omega _d=\sqrt{(\omega _0^2-\beta ^2)}[/tex]

How/why is this true? My guess is some kind of
series approximation is used -- but I'm not sure...
 
Physics news on Phys.org
Let's establish the series approximation:
[tex]\omega_{d}=\sqrt{\omega_{0}^{2}-\beta^{2}}=\omega_{0}\sqrt{1-(\frac{\beta}{\omega_{0}})^{2}}[/tex]

Now, let [tex]f(\epsilon)=(1+\epsilon)^{m}[/tex]
When [tex]\epsilon\approx0[/tex]
we have, by Taylor's theorem:
[tex]f(\epsilon)\approx{f}(0)+f'(0)\epsilon=1+m\epsilon[/tex]
Now, recognize:
[tex]m=\frac{1}{2},\epsilon=-(\frac{\beta}{\omega_{0}})^{2}[/tex]
and you've got the formula.
 
Last edited:
Thanks very much. I've got to somehow get
more familiar with Taylor series expansions -- they
seem to be the basis of so many solutions.

cj


arildno said:
Let's establish the series approximation:
[tex]\omega_{d}=\sqrt{\omega_{0}^{2}-\beta^{2}}=\omega_{0}\sqrt{1-(\frac{\beta}{\omega_{0}})^{2}}[/tex]

Now, let [tex]f(\epsilon)=(1+\epsilon)^{m}[/tex]
When [tex]\epsilon\approx0[/tex]
we have, by Taylor's theorem:
[tex]f(\epsilon)\approx{f}(0)+f'(0)\epsilon=1+m\epsilon[/tex]
Now, recognize:
[tex]m=\frac{1}{2},\epsilon=-(\frac{\beta}{\omega_{0}})^{2}[/tex]
and you've got the formula.
 
cj said:
Thanks very much. I've got to somehow get
more familiar with Taylor series expansions -- they
seem to be the basis of so many solutions.

cj
You are absolutely correct in this.
Taylor expansions occur in every branch of physics; for example, they are often used to simplify and approximate difficult non-linear terms occurring in differential equations.
I'm sure you know this one from the swinging pendulum:
We simply assume the angle to be small, and approximate the term:
[tex]\sin\theta(t)\approx\theta(t)[/tex]
This brings, as you know, the pendulum equation into the form of a simple harmonic oscillator.
 

Similar threads

  • · Replies 17 ·
Replies
17
Views
4K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 17 ·
Replies
17
Views
4K
  • · Replies 131 ·
5
Replies
131
Views
9K
Replies
7
Views
1K
Replies
9
Views
3K
  • · Replies 13 ·
Replies
13
Views
3K
Replies
3
Views
1K