Around the Razumov-Stroganov conjecture: proof of a multi-parameter sum rule
P. Di Francesco, P. Zinn-Justin

TL;DR
This paper proves a conjecture linking the sum of groundstate vector entries in an O(1) loop model to the count of n x n alternating sign matrices, using a connection to the six-vertex model.
Contribution
It establishes a new proof of the Razumov-Stroganov conjecture by relating the O(1) loop model to the six-vertex model with domain wall boundary conditions.
Findings
Sum of normalized groundstate vector entries equals the number of n x n alternating sign matrices.
Identifies a correspondence between the state sum of an inhomogeneous O(1) model and the six-vertex model partition function.
Provides a multi-parameter sum rule proof for the Razumov-Stroganov conjecture.
Abstract
We prove that the sum of entries of the suitably normalized groundstate vector of the O(1) loop model with periodic boundary conditions on a periodic strip of size 2n is equal to the total number of n x n alternating sign matrices. This is done by identifying the state sum of a multi-parameter inhomogeneous version of the O(1) model with the partition function of the inhomogeneous six-vertex model on a n x n square grid with domain wall boundary conditions.
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.
