Abstract
We give a historical and mathematical review of Brownian motion based solely on the Langevin equation. We derive the main statistical properties without bringing in external and subsidiary issues, such as temperature, Focker-Planck equations, the Maxwell–Boltzmann distribution, spectral analysis, the fluctuation-dissipation theorem, among many other topics that are typically introduced in discussions of the Langevin equation. The method we use is the formal solution approach, which was the standard method devised by the founders of the field. In addition, we give some relevant historical comments.
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Appendices
Appendix 1: Formal Solutions
Treating the Langevin equation as an ordinary differential equation with a driving force F(t), the solution, with initial condition v(0) is
This can be verified by direct substitution. Since
we have
But
Therefore
Also, rewrite Eq. (159) as
and substitute it into Eq. (166) to obtain
This gives a direct relation between x and v.
In addition
and squaring gives
and using
gives
This gives a direct relation between \(x^{2}(t)\) and \(v^{2}(t)\).
Appendix 2: Evaluation of \(\int _{0}^{t}\int _{0}^{t} e^{\beta (t^{\prime }+t^{\prime \prime })}\left\langle F(t^{\prime })F(t^{\prime \prime })\right\rangle dt^{\prime }dt^{\prime \prime }\)
Consider the evaluation of
Using
we have
The inner integral gives
Hence
Multiplying both sides by \(e^{-2\beta t}\) we have
which is Eq. (31) of the main text.
Appendix 3: Evaluation of \(\int _{0}^{t}\int _{0}^{s}e^{\beta t^{\prime }}e^{\beta t^{\prime \prime }}\left\langle F(t^{\prime })F(t^{\prime \prime })\right\rangle dt^{\prime }dt^{\prime \prime }\)
We evaluate
which enters in the valuation of \(\left\langle v(t)v(s)\right\rangle \) as per Eq. (51). We have
Imposing the constraint \(0<t^{\prime }<s\) on the remaining integral we have that
Therefore
Appendix 4: Standard Deviation of x(t)
We obtain the standard deviation of position,
Staring with
and
and subtracting Eq. (186) from Eq. (185) we have
Squaring and taking expectation values yields
Using Eq. (24), we have that
Therefore
But we know from Eq. (55) that
and therefore
But clearly
and therefore
We now evaluate the integral in Eq. (196). First consider
or
Integrating over \(t^{\prime \prime }\) we obtain
Giving
The second integral is
Subtracting Eq. (203) from Eq. (204) and multiplying by \(\frac{D}{\beta }\) we have
which simplifies to
Appendix 5: Evaluation of Eq. (115)
We show Eq. (115) of the text. We have that
Therefore
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Cohen, L. (2016). A Review of Brownian Motion Based Solely on the Langevin Equation with White Noise. In: Qian, T., Rodino, L. (eds) Mathematical Analysis, Probability and Applications – Plenary Lectures. ISAAC 2015. Springer Proceedings in Mathematics & Statistics, vol 177. Springer, Cham. https://doi.org/10.1007/978-3-319-41945-9_1
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