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Compression algorithm for discrete light-cone quantization.

作者信息

Pu Xiao, Chabysheva Sophia S, Hiller John R

机构信息

Department of Physics, University of Minnesota-Duluth, Duluth, Minnesota 55812, USA.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Dec;88(6):063302. doi: 10.1103/PhysRevE.88.063302. Epub 2013 Dec 3.

DOI:10.1103/PhysRevE.88.063302
PMID:24483579
Abstract

We adapt the compression algorithm of Weinstein, Auerbach, and Chandra from eigenvectors of spin lattice Hamiltonians to eigenvectors of light-front field-theoretic Hamiltonians. The latter are approximated by the standard discrete light-cone quantization technique, which provides a matrix representation of the Hamiltonian eigenvalue problem. The eigenvectors are represented as singular value decompositions of two-dimensional arrays, indexed by transverse and longitudinal momenta, and compressed by truncation of the decomposition. The Hamiltonian is represented by a rank-four tensor that is decomposed as a sum of contributions factorized into direct products of separate matrices for transverse and longitudinal interactions. The algorithm is applied to a model theory to illustrate its use.

摘要

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