Classical Functional Bethe Ansatz for $SL(N)$: separation of variables for the magnetic chain
D.R.D. Scott

TL;DR
This paper extends Sklyanin's Functional Bethe Ansatz to $SL(N)$ systems, providing a new method for separation of variables applicable to magnetic chains and Gaudin models, with explicit construction of separation variables.
Contribution
The paper develops a generalized FBA for $SL(N)$ $R$-matrices, advancing the separation of variables method beyond $SL(2)$ and $SL(3)$ cases.
Findings
Constructed rational functions $ extA(u)$ and $ extB(u)$ for $SL(N)$ systems.
Identified zeros of $ extB(u)$ as separation coordinates.
Demonstrated the method on magnetic chain and Gaudin model.
Abstract
The Functional Bethe Ansatz (FBA) proposed by Sklyanin is a method which gives separation variables for systems for which an -matrix is known. Previously the FBA was only known for and (and associated) -matrices. In this paper I advance Sklyanin's program by giving the FBA for certain systems with -matrices. This is achieved by constructing rational functions and of the matrix elements of , so that, in the generic case, the zeros of are the separation coordinates and the provide their conjugate momenta. The method is illustrated with the magnetic chain and the Gaudin model, and its wider applicability is discussed.
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.
