Real-space renormalization at the quantum Hall transition

Physics – Condensed Matter – Mesoscale and Nanoscale Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

to be published in Advances of Solid State Physics, Springer, Berlin (2003)

Scientific paper

We review recent applications of the real-space renormalization group (RG) approach to the integer quantum Hall (QH) transition. The RG approach, applied to the Chalker-Coddington network model, reproduces the critical distribution of the power transmission coefficients, i.e., two-terminal conductances, P_c(G), with very high accuracy. The RG flow of P(G) at energies away from the transition yields a value of the critical exponent, nu_G=2.39 +/- 0.01, that agrees with most accurate large-size lattice simulations. Analyzing the evolution of the distribution of phases of the transmission coefficients upon a step of the RG transformation, we obtain information about the energy-level statistics (ELS). From the fixed point of the RG transformation we extract a critical ELS. Away from the transition the ELS crosses over towards a Poisson distribution. Studying the scaling behavior of the ELS around the QH transition, we extract the critical exponent nu_ELS=2.37 +/- 0.02.

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

Real-space renormalization at the quantum Hall transition 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 Real-space renormalization at the quantum Hall transition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Real-space renormalization at the quantum Hall transition will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-707909

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