Résumé : Three-dimensional random tensor models are a natural generalization of the celebrated matrix models. The associated tensor graphs, or 3D maps, can be classified with respect to a particular integer or half-integer, the degree of the respective graph. I will present in this talk a combinatorial analysis of the general term of the asymptotic expansion in N, the size of the tensor, of a particular random tensor model, the so-called multi-orientable model. I will then present some enumerative results and show which are the dominant configurations of a given degree; several examples will also be given.
|Dernière modification : Monday 24 January 2022||Contact pour cette page : Cyril.Banderier at lipn.univ-paris13.fr|