A new vector-relation framework on bipartite graphs unifies several discrete integrable systems and proves unique reconstruction from boundary data for plabic graphs.
Ising model and the positive orthogonal Grassmannian
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abstract
We completely describe by inequalities the set of boundary correlation matrices of planar Ising networks embedded in a disk. Specifically, we build on a recent result of M.~Lis to give a simple bijection between such correlation matrices and points in the totally nonnegative part of the orthogonal Grassmannian, which has been introduced in 2013 in the study of the scattering amplitudes of ABJM theory. We also show that the edge parameters of the Ising model for reduced networks can be uniquely recovered from boundary correlations, solving the inverse problem. Under our correspondence, the Kramers--Wannier high/low temperature duality transforms into the cyclic symmetry of the Grassmannian, and using this cyclic symmetry, we prove that the spaces under consideration are homeomorphic to closed balls.
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2019 1verdicts
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Vector-relation configurations and plabic graphs
A new vector-relation framework on bipartite graphs unifies several discrete integrable systems and proves unique reconstruction from boundary data for plabic graphs.