The Arctic Curve Conjecture for the six-vertex model on the square domain

Let r(z)r(z) be the scaled logarithmic derivative of the boundary correlation function hN(z)h_N(z), namely

r(z):=limN1NzddzlnhN(z).r(z):=\lim_{N \to \infty}\frac{1}{N}z\frac{\mathrm{d}}{\mathrm{d} z}\ln h_N(z).

For the six-vertex model with domain wall boundary conditions, let tt and Δ\Delta be the model parameters, and let xx and yy denote rescaled coordinates in the square domain. Arctic Curve Conjecture. The south-east arc of the Arctic curve can be expressed parametrically as x=x(z)x=x(z), y=y(z)y=y(z), with z[1,+)z \in [1,+\infty), by the simultaneous equations

F(x,y;z)=0,ddzF(x,y;z)=0,F(x,y;z)=0,\qquad \frac{\mathrm{d}}{\mathrm{d}z}F(x,y;z)=0,

where

F(x,y;z)=xz(t22Δt+1)(z1)(t2z2Δt+1)yr(z).F(x,y;z)=x-\frac{z(t^2-2\Delta t+1)}{(z-1)(t^2z-2\Delta t+1)}y-r(z).

This gives the envelope of the tangent lines determined by the boundary correlation function and is the EFP/Tangent Method description of the Arctic curve. The conjectural status concerns the validity of this construction beyond the settings where the underlying asymptotic assumptions have been established.

Sources & referencesView supporting material

Primary source

Filippo Colomo and Andrea Sportiello, “Arctic curves of the six-vertex model on generic domains: the Tangent Method”, arXiv:1605.01388 (2016).

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