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We provide a self-contained introduction to the classical theory of universal-homogeneous models (also known as generic structures, rich models, or Fra\"iss\'e limits). In the literature, most treatments restrict consideration to embeddings…

Logic · Mathematics 2010-09-10 Silvia Barbina , Domenico Zambella

We study Bayesian model selection in colored Gaussian graphical models (CGGMs), which combine sparsity of conditional independencies with symmetry constraints encoded by vertex- and edge-colored graphs. A computational bottleneck in…

Statistics Theory · Mathematics 2026-01-26 Adam Chojecki , Piotr Graczyk , Hideyuki Ishi , Bartosz Kołodziejek

Gromov asked what a typical (finitely presented) group looks like, and he suggested a way to make the question precise in terms of limiting density. The typical finitely generated group is known to share some important properties with the…

Logic · Mathematics 2022-09-12 Johanna N. Y. Franklin , Meng-Che "Turbo" Ho , Julia Knight

In recent literature, the Gaussian Graphical model (GGM; Lauritzen, 1996),a network of partial correlation coefficients, has been used to capture potential dynamic relationships between observed variables. The GGM can be estimated using…

Methodology · Statistics 2017-09-25 Sacha Epskamp

Recently we introduced the hypergraph matrix model (HMM), a Hermitian matrix model generalizing the classical Gaussian Unitary Ensemble (GUE). In this model the Gaussians of the GUE, whose moments count partitions of finite sets into pairs,…

Combinatorics · Mathematics 2023-12-05 Paul E. Gunnells

A geometric multisymplectic formulation of the classical BRST symmetry of constrained first-order classical field theories is described. To effect this we introduce graded analogues of the bundles and manifolds of the multisymplectic…

Mathematical Physics · Physics 2016-09-07 S. P. Hrabak

A simple generative model for rank ordered data with ties is presented. The model is based on ordering geometric latent variables and can be seen as the discrete counterpart of the Plackett-Luce (PL) model, a popular, relatively tractable…

Methodology · Statistics 2022-12-19 Daniel A. Henderson

We study two-dimensional nonlinear sigma models with target spaces being the complex super Grassmannian manifolds, that is, coset supermanifolds $G(m,p|n,q)\cong U(m|n)/[U(p|q)\otimes U(m-p|n-q)]$ for $0\leq p \leq m$, $0\leq q \leq n$ and…

High Energy Physics - Theory · Physics 2008-11-26 Ryu Sasaki , Wen-Li Yang , Yao-Zhong Zhang

A new Einstein-Hilbert type (SGM) action describing gravitational interaction of Nambu-Goldstone(N-G) fermion of nonlinear supersymmetry(NL SUSY) is obtained by performing the Einstein gravity analogue geometrical arguments in high…

High Energy Physics - Theory · Physics 2007-05-23 K. Shima , M. Tsuda , M. Sawaguchi

A systematic construction for an action describing a class of supersymmetric integrable models as well as for pure fermionic theories is discussed in terms of the gauged WZNW model associated to twisted affine Kac-Moody algebras. Explicit…

High Energy Physics - Theory · Physics 2009-09-28 J. F. Gomes , D. M. Schmidtt , A. H. Zimerman

For any rank-one Riemannian symmetric space S of non-compact type and any discrete, cofinite, non-cocompact, torsion-free group $\Gamma$ of orientation-preserving Riemannian isometries on S, we develop a cohomological interpretation for the…

Number Theory · Mathematics 2026-05-05 Roelof Bruggeman , YoungJu Choie , Roberto Miatello , Anke Pohl

We construct long-range fermionic models with the Gross-Neveu and Gross-Neveu-Yukawa interaction, and argue that their critical regimes are equivalent. To this end, we calculate various CFT data in $\epsilon$- and $1/N$- expansion, and…

High Energy Physics - Theory · Physics 2022-02-16 Noam Chai , Soumangsu Chakraborty , Mikhail Goykhman , Ritam Sinha

The general SU(N) form factor formula is constructed. Exact form factors for the field, the energy momentum and the current operators are derived and compared with the 1/N-expansion of the chiral Gross-Neveu model and full agreement is…

High Energy Physics - Theory · Physics 2009-11-10 Hrachya Babujian , Angela Foerster , Michael Karowski

In the past few years, the unifying frameworks of 4-dimensional Chern-Simons theory and affine Gaudin models have allowed for the systematic construction of a large family of integrable $\sigma$-models. These models depend on the data of a…

High Energy Physics - Theory · Physics 2024-05-17 Sylvain Lacroix , Anders Wallberg

We classify the homogeneous finite-dimensional permutation structures, i.e., homogeneous structures in a language of finitely many linear orders, giving a nearly complete answer to a question of Cameron, and confirming the classification…

Logic · Mathematics 2020-02-26 Samuel Braunfeld , Pierre Simon

Pursuing a generalization of group symmetries of modular categories to category symmetries in topological phases of matter, we study linear Hopf monads. The main goal is a generalization of extension and gauging group symmetries to category…

Quantum Algebra · Mathematics 2019-11-05 Shawn X. Cui , Modjtaba Shokrian Zini , Zhenghan Wang

Generalised Hermite-Gaussian modes (gHG modes), an extended notion of Hermite-Gaussian modes (HG modes), are formed by the summation of normal HG modes with a characteristic function $\alpha$, which can be used to unite conventional HG…

Optics · Physics 2016-07-20 Yi Wang , Yujie Chen , Yanfeng Zhang , Hui Chen , Siyuan Yu

We describe standard forms for elements of the higher-dimensional Thompson groups $nV$ arising from gridding subdivision processes. These processes lead to standard normal form descriptions for elements in these groups, and sizes of these…

Group Theory · Mathematics 2024-03-06 José Burillo , Sean Cleary , Brita Nucinkis

In this lectures, we give a review about the Minimal Supersymmetric Standard Model (MSSM) and the General Singlet Extensions of the MSSM (GSEMSSM). We, first introduce the minimal set of fields to built both models. Then we introduce their…

High Energy Physics - Phenomenology · Physics 2019-12-02 M. C. Rodriguez

In recent work, robust mixture modelling approaches using skewed distributions have been explored to accommodate asymmetric data. We introduce parsimony by developing skew-t and skew-normal analogues of the popular GPCM family that employ…

Methodology · Statistics 2013-11-12 Irene Vrbik , Paul D. McNicholas