Non-Equilibrium Thermodynamics and Topology of Currents

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

30 pages, 4 figures

Scientific paper

In many experimental situations, a physical system undergoes stochastic evolution which may be described via random maps between two compact spaces. In the current work, we study the applicability of large deviations theory to time-averaged quantities which describe such stochastic maps, in particular time-averaged currents and density functionals. We derive the large deviations principle for these quantities, as well as for global topological currents, and formulate variational, thermodynamic relations to establish large deviation properties of the topological currents. We illustrate the theory with a nontrivial example of a Heisenberg spin-chain with a topological driving of the Wess-Zumino type. The Cram\'er functional of the topological current is found explicitly in the instanton gas regime for the spin-chain model in the weak-noise limit. In the context of the Morse theory, we discuss a general reduction of continuous stochastic models with weak noise to effective Markov chains describing transitions between stable fixed points.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Non-Equilibrium Thermodynamics and Topology of Currents does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Non-Equilibrium Thermodynamics and Topology of Currents, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Non-Equilibrium Thermodynamics and Topology of Currents will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-174432

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.