University of Cambridge > > DAMTP Statistical Physics and Soft Matter Seminar > When Intuition About Brownian Motion Fails

When Intuition About Brownian Motion Fails

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Sarah Loos.

In physics, we hardly ever describe a system in terms of all of its microscopic degrees of freedom. We usually resort to effective coarse-grained models, which predict the behaviour of “relevant” system properties. One widely used effective equation of motion for coarse-grained variables is the Langevin equation, a stochastic differential equation, in which the effect of the neglected degrees of freedom is encoded in friction terms and stochastic noise.

I will review the steps of derivation and approximation that are required to obtain the Langevin equation from a system’s microscopic description. I will discuss the interplay between the potential of mean force and the memory kernel, the range of validity of the second fluctuation dissipation theorem, and the stochastic interpretation of the fluctuating force, i.e. the noise.

This talk is part of the DAMTP Statistical Physics and Soft Matter Seminar series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity