Managing Singular Kernels and Logarithmic Corrections in the Staggered Six-Vertex Model
Mouhcine Azhari, Andreas Kl\"umper

TL;DR
This paper compares NLIE and ODE/IQFT methods for analyzing the spectral properties of the staggered six-vertex model, demonstrating high accuracy of asymptotic approaches even at small system sizes and addressing numerical stability.
Contribution
It introduces a unifying framework for NLIEs with singular and regular kernels, validating the ODE/IQFT approach for finite sizes and improving analysis techniques for lattice models.
Findings
NLIE and ODE/IQFT results differ by about O(L^{-2}) for large systems.
Validated the accuracy of asymptotic methods at small system sizes.
Provided stable numerical solutions for system sizes up to 10^{24}.
Abstract
In this paper, we investigate the spectral properties of the staggered six-vertex model with symmetry for arbitrary system sizes using non-linear integral equations (NLIEs). Our study is motivated by two key questions: what is the accuracy of results based on the ODE/IQFT correspondence in the asymptotic regime of large system sizes, and what is the optimal approach based on NLIE for analyzing the staggered six-vertex model? We demonstrate that the quantization conditions for low-lying primary and descendant states, derived from the ODE/IQFT approach in the scaling limit, are impressively accurate even for relatively small system sizes. Specifically, in the anisotropy parameter range , the difference between NLIE and ODE/IQFT results for energy and quasi-momentum eigenvalues is of order . Furthermore, we present a…
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Taxonomy
TopicsNumerical methods in inverse problems · Matrix Theory and Algorithms · Computational Fluid Dynamics and Aerodynamics
