Rigorous Wilsonian Renormalization Group for impurity models with a spectral gap
Peter Zalom

TL;DR
This paper introduces a novel numerical RG method for impurity models with spectral gaps, revealing shared behaviors between superconducting and scalar gapped AIMs and confirming in-gap state phenomena.
Contribution
It develops the log-gap numerical RG, enabling unbiased analysis of gapped impurity models and establishing their RG equivalence class with new insights into in-gap states.
Findings
Shared double scaling in superconducting and scalar gapped AIMs
RG equivalence class with common quantum phase transitions
Confirmation of in-gap states escaping into the continuum
Abstract
The Anderson impurity model (AIM) has long served as a cornerstone in the study of correlated electron systems. While numerical renormalization group (RG) offers great flexibility for metallic reservoirs, it becomes impossible in an unbiased way when a spectral gap opens up in the tunneling density of states. The only known exception is provided by the superconducting bath. In this paper, we lift these limitations by a novel numerical RG procedure that employs a discretization of the gapped tunneling densities of states into patches which accumulate at the gap edges. This reveals an unusual double scaling which is a shared behavior by the superconducting and the scalar gapped AIMs. Moreover, it requires a special iterative diagonalization procedure with an alternating scheme for discarding states only every second iteration. The discretization and the diagonalization scheme…
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Taxonomy
TopicsQuantum and electron transport phenomena · Magnetic properties of thin films · Physics of Superconductivity and Magnetism
