Reduction of Spin Glasses applied to the Migdal-Kadanoff Hierarchical Lattice

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, RevTex, 6 figures (postscript), added results for d=4, some corrections; final version, as to appear in EPJB

Scientific paper

10.1140/epjb/e2003-00184-5

A reduction procedure to obtain ground states of spin glasses on sparse graphs is developed and tested on the hierarchical lattice associated with the Migdal-Kadanoff approximation for low-dimensional lattices. While more generally applicable, these rules here lead to a complete reduction of the lattice. The stiffness exponent governing the scaling of the defect energy $\Delta E$ with system size $L$, $\sigma(\Delta E)\sim L^y$, is obtained as $y_3=0.25546(3)$ by reducing the equivalent of lattices up to $L=2^{100}$ in $d=3$, and as $y_4=0.76382(4)$ for up to $L=2^{35}$ in $d=4$. The reduction rules allow the exact determination of the ground state energy, entropy, and also provide an approximation to the overlap distribution. With these methods, some well-know and some new features of diluted hierarchical lattices are calculated.

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

Reduction of Spin Glasses applied to the Migdal-Kadanoff Hierarchical Lattice 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 Reduction of Spin Glasses applied to the Migdal-Kadanoff Hierarchical Lattice, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reduction of Spin Glasses applied to the Migdal-Kadanoff Hierarchical Lattice will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-723856

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