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Related papers: Matrix models for 2* theories

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We present a new technique for computing Hilbert series of N=1 supersymmetric QCD in four dimensions with unitary and special unitary gauge groups. We show that the Hilbert series of this theory can be written in terms of determinants of…

High Energy Physics - Theory · Physics 2015-03-19 Yang Chen , Noppadol Mekareeya

We compute the supersymmetric partition function on L(r,1)xS^1, the lens space index, for 4d gauge theories related by supersymmetric dualities and involving non simply-connected groups. This computation is sensitive to the global…

High Energy Physics - Theory · Physics 2015-06-16 Shlomo S. Razamat , Brian Willett

A matrix formalism is proposed for computations based on Picard--Lefschetz theory in a 2D case. The formalism is essentially equivalent to the computation of the intersection indices necessary for the Picard--Lefschetz formula and enables…

Mathematical Physics · Physics 2025-12-22 A. V. Shanin , A. I. Korolkov , N. M. Artemov , R. C. Assier

Unitary metaplectic representations of the group $SL_2(\mathbb{Z}_{2^n})$ are necessary to describe the evolution of $2^n$-dimensional quantum systems, such as systems involving $n$ qubits. It is shown that in order for the metaplectic…

Quantum Physics · Physics 2025-10-29 Emmanuel Floratos , Kimon Manolas , Ioannis Tsohantjis

Matrix models have wide applications in nuclear theory, condensed matter theory and quantum field theory. I discuss supersymmetric extensions of matrix models and their applications to branched polymers, the meander problem, and…

High Energy Physics - Theory · Physics 2007-05-23 Yu. Makeenko

This is an expository book on unitary representations of topological groups, and of several dual spaces, which are spaces of such representations up to some equivalence. The most important notions are defined for topological groups, but a…

Group Theory · Mathematics 2019-12-17 Bachir Bekka , Pierre de la Harpe

We present a new distributed representation in deep neural nets wherein the information is represented in native form as a matrix. This differs from current neural architectures that rely on vector representations. We consider matrices as…

Machine Learning · Computer Science 2018-02-06 Kien Do , Truyen Tran , Svetha Venkatesh

We study matrix integration over the classical Lie groups $U(N),Sp(2N),O(2N)$ and $O(2N+1)$, using symmetric function theory and the equivalent formulation in terms of determinants and minors of Toeplitz$\pm$Hankel matrices. We establish a…

High Energy Physics - Theory · Physics 2020-10-26 David García-García , Miguel Tierz

The integral formulae pertaining to the unitary group $\mathsf{U}(d)$ have been comprehensively reviewed, yielding fresh results and innovative proofs. Central to the derivation of these formulae lies the employment of Schur-Weyl duality, a…

Quantum Physics · Physics 2024-10-31 Lin Zhang

The primary focus of this paper is overpartitions, a type of partition that plays a significant role in $q$-series theory. In 2006, Treneer discovered an explicit infinite family of congruences of overpartitions modulo $5$. In our research,…

Number Theory · Mathematics 2023-09-04 Qi-Yang Zheng

We obtain the Seiberg-Witten geometry for four-dimensional N=2 gauge theory with gauge group SO(2N_c) (N_c \leq 5) with massive spinor and vector hypermultiplets by considering the gauge symmetry breaking in the N=2 $E_6$ theory with…

High Energy Physics - Theory · Physics 2009-10-31 Seiji Terashima , Sung-Kil Yang

A unitary matrix model is proposed as the large-N matrix formulation of M theory on flat space with toroidal topology. The model reproduces the motion of elementary D-particles on the compact space, and admits membrane states with nonzero…

High Energy Physics - Theory · Physics 2010-11-19 Alexios P. Polychronakos

Matrix models are a highly successful framework for the analytic study of random two dimensional surfaces with applications to quantum gravity in two dimensions, string theory, conformal field theory, statistical physics in random geometry,…

Mathematical Physics · Physics 2012-09-17 Razvan Gurau

We present a unitary approach to the construction of representations and intertwining operators. We apply it to the $C^*$-algebras, groups, Gabor type unitary systems and wavelets. We give an application of our method to the theory of…

Functional Analysis · Mathematics 2007-05-23 Dorin Ervin Dutkay

This review paper contains a concise introduction to highest weight representations of infinite dimensional Lie algebras, vertex operator algebras and Hilbert schemes of points, together with their physical applications to elliptic genera…

High Energy Physics - Theory · Physics 2015-06-05 Loriano Bonora , Andrey Bytsenko , Emilio Elizalde

We discuss various aspects of most general multisupport solutions to matrix models in the presence of hard walls, i.e., in the case where the eigenvalue support is confined to subdomains of the real axis. The structure of the solution at…

High Energy Physics - Theory · Physics 2009-11-11 L. Chekhov

We prove identities generating higher dimensional vector partitions. We derive theorems for integer lattice points in the 2D first quadrant, then generalize the approach to find 3D and $n$-space lattice point vector region extensions. We…

Combinatorics · Mathematics 2023-02-03 Geoffrey B. Campbell

We explicitly construct and list all unitary superconformal multiplets, along with their index contributions, in five and six dimensions. From this data, we uncover various unifying themes in the representation theory of five- and…

High Energy Physics - Theory · Physics 2016-12-21 Matthew Buican , Joseph Hayling , Constantinos Papageorgakis

We consider families of theories with large N=4 superconformal symmetry. We define an index generalizing the elliptic genus of theories with N=2 symmetry. In contrast to the N=2 case, the new index constrains part of the non-BPS spectrum.…

High Energy Physics - Theory · Physics 2007-05-23 Sergei Gukov , Emil Martinec , Gregory Moore , Andrew Strominger

We show that a certain representation of the matrix-product can be computed with $n^{o(1)}$ multiplications. We also show, that siumilar representations of matrices can be compressed enormously.

Computational Complexity · Computer Science 2007-05-23 Vince Grolmusz
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