Abstract

We review various theoretical methods that have been used in recent years to calculate dynamical correlation functions of many-body systems. Time-dependent correlation functions and their associated frequency spectral densities are the quantities of interest, for they play a central role in both the theoretical and experimental understanding of dynamic properties. In particular, dynamic correlation functions appear in the fluctuation-dissipation theorem, where the response of a many-body system to an external perturbation is given in terms of the relaxation function of the unperturbed system, provided the disturbance is small. The calculation of the relaxation function is rather difficult in most cases of interest, except for a few examples where exact analytic expressions are allowed. For most of systems of interest approximation schemes must be used. The method of recurrence relation has, at its foundation, the solution of Heisenberg equation of motion of an operator in a many-body interacting system. Insights have been gained from theorems that were discovered with that method. For instance, the absence of pure exponential behavior for the relaxation functions of any Hamiltonian system. The method of recurrence relations was used in quantum systems such as dense electron gas, transverse Ising model, Heisenberg model, XY model, Heisenberg model with Dzyaloshinskii-Moriya interactions, as well as classical harmonic oscillator chains. Effects of disorder were considered in some of those systems. In the cases where analytical solutions were not feasible, approximation schemes were used, but are highly model-dependent. Another important approach is the numericallly exact diagonalizaton method. It is used in finite-sized systems, which sometimes provides very reliable information of the dynamics at the infinite-size limit. In this work, we discuss the most relevant applications of the method of recurrence relations and numerical calculations based on exact diagonalizations. The method of recurrence relations relies on the solution to the coefficients of a continued fraction for the Laplace transformed relaxation function. The calculation of those coefficients becomes very involved and, only a few cases offer exact solution. We shall concentrate our efforts on the cases where extrapolation schemes must be used to obtain solutions for long times (or low frequency) regimes. We also cover numerical work based on the exact diagonalization of finite sized systems. The numerical work provides some thermodynamically exact results and identifies some difficulties intrinsic to the method of recurrence relations.

Highlights

  • Dynamical correlation functions are central to the understanding of time-dependent properties of many-body systems

  • We review various theoretical methods that have been used in recent years to calculate dynamical correlation functions of many-body systems

  • Time-dependent correlation functions appear in the dynamical structure factor, are related to the inelastic neutronscattering cross section, where the neutron energy changes upon the scattering process

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Summary

INTRODUCTION

Dynamical correlation functions are central to the understanding of time-dependent properties of many-body systems. We shall cover two lines of approach, namely the method of recurrence relations and the method of exact diagonalization. Exact diagonalization methods have been used in several areas of physics [13,14,15,16,17]. In this method one numerically determines the eigenvalues and eigenfunctions of a given Hamiltonian of a finite system to find the dynamical correlations of interest. Exact diagonalization complements the method of recurrence relations, especially when solutions become hard to obtain by analytic means. One can find interesting developments in experiments with cold atoms in optical lattices that mimic the dynamics of some spin systems [27,28,29,30]

DYNAMICAL CORRELATION FUNCTIONS
The Method of Recurrence Relations
The Method of Exact Diagonalization
APPLICATIONS TO INTERACTING SYSTEMS
Heisenberg Model With Dzyaloshinskii-Moriya Interactions
Random Transverse Ising Model
Transverse Ising Model With Next-To-Nearest Neighbors Interactions
SUMMARY AND PERSPECTIVES
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