Topological invariants based on generalized position operators and application to the interacting Rice-Mele model
Armando A. Aligia

TL;DR
This paper introduces topological invariants based on generalized position operators to identify phase transitions, compares them with traditional methods, and applies them to the interacting Rice-Mele model to map its phase diagram.
Contribution
It proposes a new class of topological invariants involving generalized position operators and demonstrates their effectiveness in analyzing the interacting Rice-Mele model.
Findings
Invariants can identify phase transitions where traditional methods are less effective.
Three invariants together provide a complete phase diagram in certain regions.
Invariants are sensitive to symmetry-protected topological phases.
Abstract
We discuss different properties and the ability of several topological invariants based on position operators to identify phase transitions, and compare with more accurate methods, like crossing of excited energy levels and jumps in Berry phases. The invariants have the form , where is the length of the system, the position of the site , the operator of the number of particles at site with spin . We show that should be integers, and in some cases of magnitude larger than 1 to lead to well defined expectation values. For the interacting Rice-Mele model (which contains the interacting Su-Schrieffer-Heeger and the Ionic Hubbard model as specific…
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Taxonomy
TopicsRemote Sensing and Land Use · Advanced Computational Techniques and Applications · DNA and Biological Computing
