t-J model studied by the power Lanczos method

Simple item page
dc.contributor.authorChen, Y. C.en
dc.contributor.authorLee, T. K.en
dc.contributor.departmentCenter for Stochastic Processes in Science and Engineering (CSPISE)en
dc.contributor.departmentPhysicsen
dc.date.accessed2014-04-23en
dc.date.accessioned2014-05-07T15:37:07Zen
dc.date.available2014-05-07T15:37:07Zen
dc.date.issued1995-03en
dc.description.abstractThe initial trial wave function used in a simple ground-state projection method, the power method, is systematically improved by using Lanczos algorithm. Much faster convergence to the ground state achieved by using these wave functions significantly reduces the effect of the fermion sign problem. The results for the ground state of the two-dimensional t-J model are presented. The density correlation function for the t-J model at small J shows a surprisingly good agreement with that of a system of noninteracting hard-core bosons.en
dc.description.sponsorshipNational Science Council of Republic of China, Grant No. NSC83-0511-M007-00en
dc.identifier.citationChen, Y. C.; Lee, T. K., "t-J model studied by the power Lanczos method," Phys. Rev. B 51, 6723 DOI: http://dx.doi.org/10.1103/PhysRevB.51.6723en
dc.identifier.doihttps://doi.org/10.1103/PhysRevB.51.6723en
dc.identifier.issn0163-1829en
dc.identifier.urihttp://hdl.handle.net/10919/47893en
dc.identifier.urlhttp://journals.aps.org/prb/abstract/10.1103/PhysRevB.51.6723en
dc.language.isoen_USen
dc.publisherAmerican Physical Societyen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjecthubbard-modelen
dc.subjectphaseen
dc.subjectstateen
dc.subjectsystemsen
dc.subjectphysics, condensed matteren
dc.titlet-J model studied by the power Lanczos methoden
dc.title.serialPhysical Review Ben
dc.typeArticle - Refereeden

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
PhysRevB.51.6723.pdf
Size:
205.25 KB
Format:
Adobe Portable Document Format
Description:
Note
Download

Collections

Scholarly Works, Physics
Scholarly Works, Center for Stochastic Processes in Science and Engineering (CSPISE)