The Information Geometry of the Spherical Model

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, no figures

Scientific paper

10.1103/PhysRevE.67.046106

Motivated by previous observations that geometrizing statistical mechanics offers an interesting alternative to more standard approaches,we have recently calculated the curvature (the fundamental object in this approach) of the information geometry metric for the Ising model on an ensemble of planar random graphs. The standard critical exponents for this model are alpha=-1, beta=1/2, gamma=2 and we found that the scalar curvature, R, behaves as epsilon^(-2),where epsilon = beta_c - beta is the distance from criticality. This contrasts with the naively expected R ~ epsilon^(-3) and the apparent discrepancy was traced back to the effect of a negative alpha on the scaling of R. Oddly,the set of standard critical exponents is shared with the 3D spherical model. In this paper we calculate the scaling behaviour of R for the 3D spherical model, again finding that R ~ epsilon^(-2), coinciding with the scaling behaviour of the Ising model on planar random graphs. We also discuss briefly the scaling of R in higher dimensions, where mean-field behaviour sets in.

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

The Information Geometry of the Spherical 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 The Information Geometry of the Spherical Model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Information Geometry of the Spherical Model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-614275

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