arXiv · 2409.01509
Robust analytic continuation using sparse modeling approach imposed by semi-positive definiteness for multi-orbital systems
Abstract
Analytic continuation (AC) from imaginary-time Green's function to spectral function is essential in the numerical analysis of dynamical properties in quantum many-body systems. However, this process faces a fundamental challenge: it is an ill-posed problem, leading to unstable spectra against the noise in the Green's function. This instability is further complicated in multi-orbital systems with hybridization between spin-orbitals, where off-diagonal Green's functions yield a spectral matrix with off-diagonal elements, necessitating the matrix's semi-positive definiteness to satisfy the causality. We propose an advanced AC method using sparse modeling for multi-orbital systems, which reduces the effect of noise and ensures the matrix's semi-positive definiteness. We demonstrate the effectiveness of this approach by contrasting it with the conventional sparse modeling method, focusing on handling Green's functions with off-diagonal elements, thereby demonstrating our proposed method's enhanced stability and precision.
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Yuichi Motoyama, Hiroshi Shinaoka, Junya Otsuki, Kazuyoshi Yoshimi. 2024-09-03. Robust analytic continuation using sparse modeling approach imposed by semi-positive definiteness for multi-orbital systems. https://arxiv.org/abs/2409.01509
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