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Related papers: On First-Order GLSM for Sigma Models

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We revisit the classical aspects of $\mathcal{N}=(2,2)$ supersymmetric sigma models with Hermitian symmetric target spaces, using the so-called Gross-Neveu (first-order GLSM) formalism. We reformulate these models for complex Grassmannians…

High Energy Physics - Theory · Physics 2025-08-11 Dmitri Bykov , Viacheslav Krivorol

We summarize some (mostly geometric) facts underlying the relation between 2D integrable sigma models and generalized Gross-Neveu models, emphasizing connections to the theory of nilpotent orbits, Springer resolutions and quiver varieties.…

High Energy Physics - Theory · Physics 2024-10-30 Dmitri Bykov

We find the novel class of the supersymmetric deformation of the $\mathbb{CP}^{1}$ $\sigma$-model and its equivalence with the generalised chiral Gross-Neveu. This construction allows the use of field-theoretic techniques and particularly…

High Energy Physics - Theory · Physics 2024-12-03 Anton Pribytok

We review the correspondence between integrable sigma models with complex homogeneous target spaces and chiral bosonic (and possibly mixed bosonic/fermionic) Gross-Neveu models. Mathematically, the latter are models with quiver variety…

High Energy Physics - Theory · Physics 2024-10-30 Dmitri Bykov

We prove that the supersymmetric deformed $ \mathbb{CP}^{1} $ sigma model (the generalization of the Fateev-Onofri-Zamolodchikov model) admits an equivalent description as a generalized Gross-Neveu model. This formalism is useful for the…

High Energy Physics - Theory · Physics 2024-11-20 Dmitri Bykov , Anton Pribytok

A class of 1+1 dimensional supersymmetric theories with four-fermionic interaction will be built from scratch. The vacua of selected examples will be examined in the 't Hooft limit and compared to the Gross-Neveu model.

High Energy Physics - Theory · Physics 2010-08-10 Christian Fitzner

We generalize the integrable Heisenberg ferromagnet model according to each Hermitian symmetric spaces and address various new aspects of the generalized model. Using the first order formalism of generalized spins which are defined on the…

High Energy Physics - Theory · Physics 2015-06-26 Phillial Oh , Q-Han Park

The general prescription for constructing the continuum limit of a field theory is introduced. We then apply the prescription to construct the O(N) non-linear sigma model and the Gross-Neveu model in three dimensions using the large N…

High Energy Physics - Theory · Physics 2009-10-07 Hidenori Sonoda

We build the two dimensional Gross-Neveu model by a new method which requires neither cluster expansion nor discretization of phase-space. It simply reorganizes the perturbative series in terms of trees. With this method we can for the…

High Energy Physics - Theory · Physics 2009-05-07 M. Disertori , V. Rivasseau

We use the large $N$ critical point formalism to compute $d$-dimensional critical exponents at several orders in $1/N$ in an Ising Gross-Neveu universality class where the core interaction includes a Lie group generator. Specifying a…

High Energy Physics - Theory · Physics 2021-06-30 John A. Gracey

We show that sigma models with orthogonal and symplectic Grassmannian target spaces admit chiral Gross-Neveu model formulations, thus extending earlier results on unitary Grassmannians. As a first application, we calculate the one-loop…

High Energy Physics - Theory · Physics 2024-10-30 Dmitri Bykov , Viacheslav Krivorol

This paper presents a case study of the effects of increasing the order of a Ginzburg-Landau type expansion, by using the well known Gross-Neveu model in 1+1 dimensions as a test case. It is found that as the order of expansion increases,…

High Energy Physics - Theory · Physics 2018-04-02 Anees Ahmed

In this article we give an equivariant version for the construction of generic models on presheaves of structures. We deal with first order structures endowed with a suitable action of some fixed group, say $G$; we call them $G$-structures.…

Logic · Mathematics 2016-04-28 Gabriel Padilla , Andrés Villaveces

A natural way to obtain a system of partial differential equations on a manifold is to vary a suitably defined sesquilinear form. The sesquilinear forms we study are Hermitian forms acting on sections of the trivial $\mathbb{C}^n$-bundle…

Analysis of PDEs · Mathematics 2020-02-27 Matteo Capoferri , Nikolai Saveliev , Dmitri Vassiliev

We study the conditions under which N=(1,1) generalized sigma models support an extension to N=(2,2). The enhanced supersymmetry is related to the target space complex geometry. Concentrating on a simple situation, related to Poisson sigma…

High Energy Physics - Theory · Physics 2009-11-11 Andreas Bredthauer , Ulf Lindstrom , Jonas Persson

We show that it is possible to obtain the Gross-Neveu model in 1+1 dimensions from gauge fields only. This is reminiscent of the fact that in 1+1 dimensions the gauge field tensor is essentially a pseudo-scalar. We also show that it is…

High Energy Physics - Theory · Physics 2009-11-07 Tonguc Rador

We elaborate the formulation of the $\mathsf{CP^{n-1}}$ sigma model with fermions as a gauged Gross-Neveu model. This approach allows to identify the super phase space of the model as a supersymplectic quotient. Potential chiral gauge…

High Energy Physics - Theory · Physics 2022-12-29 Dmitri Bykov

We introduce a finite volume renormalization scheme for the N-Majorana-component O(N) invariant Gross-Neveu model. Universal observables are defined that are accessible to precise numerical simulation in various discretizations and allow…

High Energy Physics - Lattice · Physics 2008-11-26 Tomasz Korzec , Ulli Wolff

In this article we briefly survey some developments in gauged linear sigma models (GLSMs). Specifically, we give an overview of progress on constructions of GLSMs for various geometries, GLSM-based computations of quantum cohomology,…

High Energy Physics - Theory · Physics 2024-12-10 E. Sharpe

Statistical shape models (SSMs) represent a class of shapes as a normal distribution of point variations, whose parameters are estimated from example shapes. Principal component analysis (PCA) is applied to obtain a low-dimensional…

Computer Vision and Pattern Recognition · Computer Science 2016-03-24 Marcel Lüthi , Christoph Jud , Thomas Gerig , Thomas Vetter
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