Monte Carlo Renormalization of the 3-D Ising model: Analyticity and Convergence

Physics – Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

RevTeX, 4 PostScript files

Scientific paper

10.1103/PhysRevLett.76.2613

We review the assumptions on which the Monte Carlo renormalization technique is based, in particular the analyticity of the block spin transformations. On this basis, we select an optimized Kadanoff blocking rule in combination with the simulation of a d=3 Ising model with reduced corrections to scaling. This is achieved by including interactions with second and third neighbors. As a consequence of the improved analyticity properties, this Monte Carlo renormalization method yields a fast convergence and a high accuracy. The results for the critical exponents are y_H=2.481(1) and y_T=1.585(3).

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

Monte Carlo Renormalization of the 3-D Ising model: Analyticity and Convergence 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 Monte Carlo Renormalization of the 3-D Ising model: Analyticity and Convergence, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Monte Carlo Renormalization of the 3-D Ising model: Analyticity and Convergence will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-207858

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