- #1
stephenx_86
- 15
- 0
Hi,
(To cut a long story short, can I cancel the integrals in Eq. 6 to leave me with Eq. 7?)
I am trying to follow the method for modelling the motion of a tethered bead from a couple of papers ("Te Velthuis, A. J. W. et al. (2010) Biophys. J. 99 1292–1302" and "Lansdorp, B. M., & Saleh, O. A. (2012) Rev. Sci. Instrum. 83 025115"), but am getting stuck going from the Langevin equation (where γ is the friction coefficient and k is the tether stiffness):
[1] [itex]\gamma \dot{x} (t)+kx(t)=F_{therm}[/itex]
to the power spectrum:
[2] [itex]P(\omega )\equiv \left |x^{2}(\omega )\right| =\frac{2\gamma k_{B}T}{\gamma ^{2}\omega ^{2}+k^{2}}[/itex]
I've followed a few lecture handouts I've found online and think I understand the majority of the problem. From what I understand, I need to take the three components of the first equation and individually apply the Fourier transforms (all in the range ∞→-∞):
[3] [itex]\dot{x}(t)=\frac{d}{dt}\left|\frac{1}{2\pi }\int x(\omega )e^{i\omega t}d\omega \right|=\frac{1}{2\pi }\int x(\omega ) i\omega e^{i\omega t}d\omega[/itex]
[4] [itex]x(t)=\frac{1}{2\pi }\int x(\omega )e^{i\omega t}d\omega [/itex]
[5] [itex]F(t)=\frac{1}{2\pi }\int F(\omega )e^{i\omega t}d\omega [/itex]
If I substitute all these back into the original equation I get:
[6] [itex]\gamma \frac{1}{2\pi }\int x(\omega ) i\omega e^{i\omega t}d\omega +k\frac{1}{2\pi }\int x(\omega )e^{i\omega t}d\omega = \frac{1}{2\pi }\int F(\omega )e^{i\omega t}d\omega[/itex]
From the lecture handouts I've found, I should be able to rearrange this to get the following (or something similar):
[7] [itex]\gamma i\omega x(\omega) +kx(\omega) = F(\omega)[/itex]
Now, here's my question. Is it possible for me to cancel the parts of the integral that appear in all three components of in Eq. 6 (this is [itex]\frac{1}{2\pi}\int e^{i\omega t} d\omega[/itex]) to leave me with Eq. 7?
Any help on this would be greatly appreciated, since I've been stuck on this for a couple of days now!
Thanks
Stephen
p.s. I also seem to end up with a rogue i, which will become -1 when I square P(x). Have I done my Fourier transform equations wrong?
(To cut a long story short, can I cancel the integrals in Eq. 6 to leave me with Eq. 7?)
I am trying to follow the method for modelling the motion of a tethered bead from a couple of papers ("Te Velthuis, A. J. W. et al. (2010) Biophys. J. 99 1292–1302" and "Lansdorp, B. M., & Saleh, O. A. (2012) Rev. Sci. Instrum. 83 025115"), but am getting stuck going from the Langevin equation (where γ is the friction coefficient and k is the tether stiffness):
[1] [itex]\gamma \dot{x} (t)+kx(t)=F_{therm}[/itex]
to the power spectrum:
[2] [itex]P(\omega )\equiv \left |x^{2}(\omega )\right| =\frac{2\gamma k_{B}T}{\gamma ^{2}\omega ^{2}+k^{2}}[/itex]
I've followed a few lecture handouts I've found online and think I understand the majority of the problem. From what I understand, I need to take the three components of the first equation and individually apply the Fourier transforms (all in the range ∞→-∞):
[3] [itex]\dot{x}(t)=\frac{d}{dt}\left|\frac{1}{2\pi }\int x(\omega )e^{i\omega t}d\omega \right|=\frac{1}{2\pi }\int x(\omega ) i\omega e^{i\omega t}d\omega[/itex]
[4] [itex]x(t)=\frac{1}{2\pi }\int x(\omega )e^{i\omega t}d\omega [/itex]
[5] [itex]F(t)=\frac{1}{2\pi }\int F(\omega )e^{i\omega t}d\omega [/itex]
If I substitute all these back into the original equation I get:
[6] [itex]\gamma \frac{1}{2\pi }\int x(\omega ) i\omega e^{i\omega t}d\omega +k\frac{1}{2\pi }\int x(\omega )e^{i\omega t}d\omega = \frac{1}{2\pi }\int F(\omega )e^{i\omega t}d\omega[/itex]
From the lecture handouts I've found, I should be able to rearrange this to get the following (or something similar):
[7] [itex]\gamma i\omega x(\omega) +kx(\omega) = F(\omega)[/itex]
Now, here's my question. Is it possible for me to cancel the parts of the integral that appear in all three components of in Eq. 6 (this is [itex]\frac{1}{2\pi}\int e^{i\omega t} d\omega[/itex]) to leave me with Eq. 7?
Any help on this would be greatly appreciated, since I've been stuck on this for a couple of days now!
Thanks
Stephen
p.s. I also seem to end up with a rogue i, which will become -1 when I square P(x). Have I done my Fourier transform equations wrong?