arXiv · 2504.01163
Minimal pole representation for spectral functions
Abstract
Representing spectral densities, real-frequency, and real-time Green's functions of continuous systems by a small discrete set of complex poles is an ubiquitous problem in condensed matter physics, with applications ranging from quantum transport simulations to the simulation of strongly correlated electron systems. This paper introduces a method for obtaining a compact, approximate representation of these functions, based on their parameterization on the real axis and a given approximate precision. We show applications to typical spectral functions and results for structured and unstructured correlation functions of model systems.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Lei Zhang, André Erpenbeck, Yang Yu, Emanuel Gull. 2025-04-01. Minimal pole representation for spectral functions. https://doi.org/10.1063/5.0273763
Cite the original work for its findings. Save a collection to share your selection of sources.