Find the velocity autocorrelation for the Brownian motion particle governed by eqn 33.1 where the random force F(t) is as described in the previous example, i.e. with 〈F(t)F(t^{\prime })〉 = Aδ(t−t^{\prime }). Hence relate the constant A to the temperature T.
m\dot{v} = −αv + F(t), (33.1)
Equation 33.1 states that
m\dot{v} = −αv + F(t), (33.88)
and the Fourier transform of this equation is
\widetilde{v} (ω) =\frac{\widetilde{F} (ω) }{α−imω}. (33.89)
This implies that the Fourier transform of the velocity autocorrelation function is
\widetilde{C} _{vv} (ω) = \left\langle \left|v(ω)\right|^{2} \right\rangle \frac{A}{α^{2} + m^{2} ω^{2} }, (33.90)
using the result of eqn 33.87. The Wiener–Khinchin theorem states that
\left\langle |F(ω)|^{2} \right\rangle = A (33.87)
\widetilde{C} _{vv} (ω) = \int e^{−iωt} \left\langle v(0)v(t)\right\rangle dt, (33.91)
and hence
\widetilde{C} _{vv} (t) = \left\langle v(0)v(t)\right\rangle = \left\langle v^{2} \right\rangle e^{−αt/m} , (33.92)
in agreement with eqn 33.21 derived earlier using another method. Parseval’s theorem (eqn 33.84) implies that
\left\langle v(0)v(t)\right\rangle =\left\langle v(0)^{2} \right\rangle e^{−αt/m} . (33.21)
\left\langle v^{2} \right\rangle = \int_{-\infty }^{\infty }{} \frac{dω}{2π} \widetilde{C} _{vv} (ω) = \frac{A}{2mα}. (33.93)
Equipartition, which gives that \frac{1}{2}m〈v²〉 = \frac{1}{2}k_{B}T, leads immediately to
A =2αk_{B}T. (33.94)