Boundary one-point function of the rational six-vertex model with partial domain wall boundary conditions: explicit formulas and scaling properties
Mikhail D. Minin, Andrei G. Pronko

TL;DR
This paper derives explicit formulas and analyzes the scaling properties of the boundary one-point function in the rational six-vertex model with partial domain wall boundary conditions, revealing step-wise behavior and error function scaling near the steps.
Contribution
It provides explicit determinant formulas for finite lattices and analyzes the asymptotic behavior of the boundary one-point function in the large lattice limit.
Findings
One-point function exhibits step-wise behavior as lattice size grows.
Near the steps, the one-point function scales as the error function.
Asymptotic expansion derived from a second-order differential equation.
Abstract
We consider the six-vertex model with the rational weights on an square lattice, , with partial domain wall boundary conditions. We study the one-point function at the boundary where the free boundary conditions are imposed. For a finite lattice, it can be computed by the quantum inverse scattering method in terms of determinants. In the large limit, the result boils down to an explicit terminating series in the parameter of the weights. Using the saddle-point method for an equivalent integral representation, we show that as next tends to infinity, the one-point function demonstrates a step-wise behavior; at the vicinity of the step it scales as the error function. We also show that the asymptotic expansion of the one-point function can be computed from a second-order ordinary differential equation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAlgebraic structures and combinatorial models · Random Matrices and Applications · Theoretical and Computational Physics
