A matrix model for strings beyond the c=1 barrier: the spin-s Heisenberg model on random surfaces
J. Ambjorn, Sh. Khachatryan, A. Sedrakyan

TL;DR
This paper develops a matrix model for the spin-s Heisenberg model coupled to 2D quantum gravity, incorporating random geometries and spin configurations, and introduces a technique to simplify the matrix integration process.
Contribution
It introduces a novel matrix model that captures the spin-s Heisenberg model on random surfaces, extending beyond the c=1 barrier in string theory.
Findings
Formulation of a matrix model reproducing the annealed average over random geometries.
Development of a technique to reduce matrix integration to eigenvalue integration.
Integration of spin configurations with 2D quantum gravity in a unified framework.
Abstract
We consider a spin-s Heisenberg model coupled to two-dimensional quantum gravity. We quantize the model using the Feynman path integral, summing over all possible two-dimensional geometries and spin configurations. We regularize this path integral by starting with the R-matrices defining the spin-s Heisenberg model on a regular 2d Manhattan lattice. 2d quantum gravity is included by defining the R-matrices on random Manhattan lattices and summing over these, in the same way as one sums over 2d geometries using random triangulations in non-critical string theory. We formulate a random matrix model where the partition function reproduces the annealed average of the spin-s Heisenberg model over all random Manhattan lattices. A technique is presented which reduces the random matrix integration in partition function to an integration over their eigenvalues.
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.
