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The cut and join operations play important roles in tensor models in general. We introduce a generalization of the cut operation associated with the higher order variations and demonstrate how they generate operators in the Aristotelian…

High Energy Physics - Theory · Physics 2019-07-24 Hiroshi Itoyama , Reiji Yoshioka

We analyze the rainbow tensor model and present the Virasoro constraints, where the constraint operators obey the Witt algebra and null 3-algebra. We generalize the method of W-representation in matrix model to the rainbow tensor model,…

High Energy Physics - Theory · Physics 2023-01-11 Bei Kang , Lu-Yao Wang , Ke Wu , Jie Yang , Wei-Zhong Zhao

We discuss the notion of renormalization group (RG) completion of non-Gaussian Lagrangians and its treatment within the framework of Bogoliubov-Zimmermann theory in application to the matrix and tensor models. With the example of the…

High Energy Physics - Theory · Physics 2017-08-11 H. Itoyama , A. Mironov , A. Morozov

Similarly to the complex matrix model, the rainbow tensor models are superintegrable in the sense that arbitrary Gaussian correlators are explicitly expressed through the Clebsh-Gordan coefficients. We introduce associated (Ooguri-Vafa…

High Energy Physics - Theory · Physics 2020-01-27 H. Itoyama , A. Mironov , A. Morozov

We investigate the Brezin-Gross-Witten model, a tau-function of the KdV hierarchy, and its natural one-parameter deformation, the generalized Brezin-Gross-Witten tau-function. In particular, we derive the Virasoro constraints, which…

Mathematical Physics · Physics 2021-07-19 Alexander Alexandrov

We study invariant operators in general tensor models. We show that representation theory provides an efficient framework to count and classify invariants in tensor models. In continuation and completion of our earlier work, we present two…

High Energy Physics - Theory · Physics 2018-07-13 Pablo Diaz , Soo-Jong Rey

Motivated by the close connection of tensor models to the SYK model, we use representation theory to construct the complete set of gauge invariant observables for bosonic and fermionic tensor models. Correlation functions of the gauge…

High Energy Physics - Theory · Physics 2017-09-20 Robert de Mello Koch , David Gossman , Laila Tribelhorn

We introduce a variational algorithm to simulate quantum many-body states based on a tree tensor network ansatz which releases the isometry constraint usually imposed by the real-space renormalization coarse-graining: This additional…

Statistical Mechanics · Physics 2014-10-08 Matthias Gerster , Pietro Silvi , Matteo Rizzi , Rosario Fazio , Tommaso Calarco , Simone Montangero

Tensor networks have in recent years emerged as the powerful tools for solving the large-scale optimization problems. One of the most popular tensor network is tensor train (TT) decomposition that acts as the building blocks for the…

Numerical Analysis · Computer Science 2016-06-20 Qibin Zhao , Guoxu Zhou , Shengli Xie , Liqing Zhang , Andrzej Cichocki

Suppose $V^G$ is the fixed-point vertex operator subalgebra of a compact group $G$ acting on a simple abelian intertwining algebra $V$. We show that if all irreducible $V^G$-modules contained in $V$ live in some braided tensor category of…

Quantum Algebra · Mathematics 2021-02-24 Robert McRae

We construct a cubic cut-and-join operator description for the partition function of the Chekhov-Eynard-Orantin topological recursion for a local spectral curve with simple ramification points. In particular, this class contains partition…

Mathematical Physics · Physics 2025-01-16 Alexander Alexandrov

We provide a concise description of our recent work on the exact conformal field theory (CFT) formulation of the superstring in the pp-wave background with Ramond-Ramond (RR) flux, using the Green-Schwarz formalism in the semi-light-cone…

High Energy Physics - Theory · Physics 2011-08-03 Yoichi Kazama

In rainbow tensor models, which generalize rectangular complex matrix model (RCM) and possess a huge gauge symmetry $U(N_1)\times\ldots\times U(N_r)$, we introduce a new sub-basis in the linear space of gauge invariant operators, which is a…

High Energy Physics - Theory · Physics 2019-12-19 H. Itoyama , A. Mironov , A. Morozov

We propose a method to construct a tensor network representation of partition functions without singular value decompositions nor series expansions. The approach is demonstrated for one- and two-dimensional Ising models and we study the…

High Energy Physics - Lattice · Physics 2026-03-19 Katsumasa Nakayama , Manuel Schneider

We introduce a class of permutation centralizer algebras which underly the combinatorics of multi-matrix gauge invariant observables. One family of such non-commutative algebras is parametrised by two integers. Its Wedderburn-Artin…

High Energy Physics - Theory · Physics 2016-03-30 Paolo Mattioli , Sanjaye Ramgoolam

We construct two rainbow tensor models with multi-tensors of rank-$3$ and present their $W$-representations. We give the formula of counting number of independent gauge-invariant operators in terms of Hurwitz numbers and establish a…

High Energy Physics - Theory · Physics 2025-05-14 Bei Kang , Lu-Yao Wang , Ke Wu , Wei-Zhong Zhao

In this paper some quite simple examples of applications of the zeta-function regularization to superstring theories are presented. It is shown that the Virasoro anomaly in the BRST formulation of (super)strings can be directly computed…

High Energy Physics - Theory · Physics 2007-05-23 Lubos Motl

The topological classification of the one-loop Weinberg operator at dimension-5 enables a systematic categorization of radiative neutrino mass models. Among these, the category consisting loop-extended seesaw frameworks is theoretically…

High Energy Physics - Phenomenology · Physics 2026-02-17 Monal Kashav

We show that it is possible to formulate the most general first-class gauge algebra of the operator formalism by only using BRST-invariant constraints. In particular, we extend a previous construction for irreducible gauge algebras to the…

High Energy Physics - Theory · Physics 2008-11-26 I. A. Batalin , K. Bering

Tensor train (TT) decomposition is a powerful representation for high-order tensors, which has been successfully applied to various machine learning tasks in recent years. However, since the tensor product is not commutative, permutation of…

Numerical Analysis · Computer Science 2017-05-31 Qibin Zhao , Masashi Sugiyama , Andrzej Cichocki
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