Replica Cluster Variational Method: the Replica Symmetric solution for the 2D random bond Ising model

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

21 pages, 11 figures

Scientific paper

We present and solve the Replica Symmetric equations in the context of the Replica Cluster Variational Method for the 2D random bond Ising model (including the 2D Edwards-Anderson spin glass model). First we solve a linearized version of these equations to obtain the phase diagrams of the model on the square and triangular lattices. In both cases the spin-glass transition temperatures and the tricritical point estimations improve largely over the Bethe predictions. Moreover, we show that this phase diagram is consistent with the behavior of inference algorithms on single instances of the problem. Finally, we present a method to consistently find approximate solutions to the equations in the glassy phase. The method is applied to the triangular lattice down to T=0, also in the presence of an external field.

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

Replica Cluster Variational Method: the Replica Symmetric solution for the 2D random bond Ising model 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 Replica Cluster Variational Method: the Replica Symmetric solution for the 2D random bond Ising model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Replica Cluster Variational Method: the Replica Symmetric solution for the 2D random bond Ising model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-509897

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