![]() |
![]() |
University of Birmingham > Talks@bham > Geometry and Mathematical Physics seminar > Character manifolds and quantum cluster algebras
![]() Character manifolds and quantum cluster algebrasAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Andrea Brini. We describe and quantise SL_N character manifold on a surface $\Sigma_{g,s,n}$ of arbitrary genus g, $s>0$ holes and $n>0$ decorated boundary cusps (marked points on hole boundaries). All such manifolds can be constructed by amalgamation procedure from elementary blocks which are ideal triangles $\Sigma_{0,1,3}$ endowed with the Fock-Goncharov cluster algebra structure. Elements of monodromy matrices correspond to sums over weighted paths, and we show that for any planar directed (acyclic) network, elements of this matrices satisfy quantum R-matrix relations. From these elementary relations, under the satisfaction of the groupoid property, we construct general quantum monodromy matrices, which satisfy the Goldman bracket in the semi-classical limit. Moreover, a fresh view on the monodromy algebra in the above triangle allowed us to solve an old problem of finding classical and quantum Darboux coordinates for the groupoid of upper-triangular matrices and presenting the braid-group action in this groupoid via mutations of quantum cluster variables in a special quiver obtained from the triangle $\Sigma_{0,1,3}$. (Forthcoming joint paper with M.Shapiro). This talk is part of the Geometry and Mathematical Physics seminar series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsWhat's on in Physics? dddd Featured listsOther talksSignatures of structural criticality and universality in the cellular anatomy of the brain The percolating cluster is invisible to image recognition with deep learning [Friday seminar]: Irradiated brown dwarfs in the desert Many-body localization from Hilbert- and real-space points of view Provably Convergent Plug-and-Play Quasi-Newton Methods for Imaging Inverse Problems |