Partition Function Expansion on Region-Graphs and Message-Passing Equations

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages including two figures. New theoretical and numerical results added. Will be published by JSTAT as a letter

Scientific paper

10.1088/1742-5468/2011/12/L12001

Disordered and frustrated graphical systems are ubiquitous in physics, biology, and information science. For models on complete graphs or random graphs, deep understanding has been achieved through the mean-field replica and cavity methods. But finite-dimensional `real' systems persist to be very challenging because of the abundance of short loops and strong local correlations. A statistical mechanics theory is constructed in this paper for finite-dimensional models based on the mathematical framework of partition function expansion and the concept of region-graphs. Rigorous expressions for the free energy and grand free energy are derived. Message-passing equations on the region-graph, such as belief-propagation and survey-propagation, are also derived rigorously.

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

Partition Function Expansion on Region-Graphs and Message-Passing Equations 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 Partition Function Expansion on Region-Graphs and Message-Passing Equations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Partition Function Expansion on Region-Graphs and Message-Passing Equations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-324554

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