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Related papers: BASIC INVARIANTS of Geometric Mappings

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In this paper, we study a series of $L^2$-torsion invariants from the viewpoint of the mapping class group of a surface. We establish some vanishing theorems for them. Moreover we explicitly calculate the first two invariants and compare…

Geometric Topology · Mathematics 2008-01-30 Teruaki Kitano , Takayuki Morifuji

We formulate scalar field theories coupled non-conformally to gravity in a manifestly frame-independent fashion. Physical quantities such as the $S$ matrix should be invariant under field redefinitions, and hence can be represented by the…

High Energy Physics - Phenomenology · Physics 2024-05-09 Minxi He , Kohei Kamada , Kyohei Mukaida

A class of globally scale-invariant scalar-tensor theories have been proposed to be invariant under a larger class of transformations that take the form of local Weyl transformations supplemented by a restriction that the conformal factor…

High Energy Physics - Theory · Physics 2024-12-16 Dražen Glavan , Ruggero Noris , Tom Zlosnik

Gromov-Witten invariants for arbitrary projective varieties and arbitrary genus are constructed using the techniques from K. Behrend, B. Fantechi: The intrinsic normal cone.

alg-geom · Mathematics 2015-06-30 K. Behrend

We consider generalized gradients in the general context of $G$-structures. They are natural first order differential operators acting on sections of vector bundles associated to irreducible $G$-representations. We study their geometric…

Differential Geometry · Mathematics 2009-08-18 Mihaela Pilca

Trigonometric invariants are defined for each Weyl group orbit on the root lattice. They are real and periodic on the coroot lattice. Their polynomial algebra is spanned by a basis which is calculated by means of an algorithm. The…

Mathematical Physics · Physics 2009-10-31 Oliver Haschke , Werner Ruehl

This paper presents generalized momentum mappings for covariant Hamiltonian field theories. The new momentum mappings arise from a generalization of symplectic geometry to $L_VY$, the bundle of vertically adapted linear frames over the…

Mathematical Physics · Physics 2015-06-26 J. K. Lawson

The study of homological invariants such as Tor, Ext and local cohomology modules constitutes an important direction in commutative algebra. Explicit descriptions of these invariants are notoriously difficult to find and often involve…

Commutative Algebra · Mathematics 2017-12-29 Claudiu Raicu

This thesis is dedicated to the study of the geometry of six-dimensional superspace, endowed with the minimal amount of supersymmetry. In the first part of it, we unfold the main geometrical features of such superspace by solving completely…

High Energy Physics - Theory · Physics 2015-11-03 Cesar Arias

This is a short summary of main results of our paper arXiv:0811.2435 where the concept of motivic Donaldson-Thomas invariant was introduced. It also contains a discussion of some open questions from the loc.cit., in particular, the geometry…

Algebraic Geometry · Mathematics 2010-02-07 Maxim Kontsevich , Yan Soibelman

In the lecture notes, the author will survey the development of conformal geometry on four dimensional manifolds. The topic she chooses is one on which she has been involved in the past twenty or more years: the study of the integral…

Differential Geometry · Mathematics 2018-09-18 Sun-Yung Alice Chang

Two kinds of invariance for geometrical objects under transformations are involved in this paper. With respect to these kinds, we obtained novel invariants for almost geodesic mappings of the third type of a non-symmetric affine connection…

General Mathematics · Mathematics 2020-10-14 Dušan J. Simjanović , Nenad O. Vesić

Invariants withstand transformations and, therefore, represent the essence of objects or phenomena. In mathematics, transformations often constitute a group action. Since the 19th century, studying the structure of various types of…

Symbolic Computation · Computer Science 2024-12-19 Irina A. Kogan

We define a Weyl-type curvature tensor of $(1,2)$-type to provide a characterization for Finsler metrics of constant flag curvature. This Weyl-type curvature tensor is projective invariant only to projective factors that are Hamel…

Differential Geometry · Mathematics 2020-06-24 Georgeta Cretu

We give an introduction to the theory and to some applications of eigenvectors of tensors (in other words, invariant one-dimensional subspaces of homogeneous polynomial maps), including a review of some concepts that are useful for their…

Algebraic Geometry · Mathematics 2022-09-20 Sebastian Walcher

We present the explicit form of a family of Liouville integrable maps in 3 variables, the so-called triad family of maps and we propose a multi-field generalisation of the latter. We show that by imposing separability of variables to the…

Exactly Solvable and Integrable Systems · Physics 2019-06-26 Pavlos Kassotakis

Conventional quantization of two-dimensional diffeomorphism and Weyl invariant theories sacrifices the latter symmetry to anomalies, while maintaining the former. When alternatively Weyl invariance is preserved by abandoning diffeomorphism…

High Energy Physics - Theory · Physics 2016-09-06 R. Jackiw

This paper describes a novel framework for computing geodesic paths in shape spaces of spherical surfaces under an elastic Riemannian metric. The novelty lies in defining this Riemannian metric directly on the quotient (shape) space, rather…

Differential Geometry · Mathematics 2016-11-17 Alice Barbara Tumpach , Hassen Drira , Mohamed Daoudi , Anuj Srivastava

This is an overview of some of the invariants that were discovered by Welschinger in the context of enumerative real algebraic geometry. Their definition finds a natural setup in real symplectic geometry. In particular, they can be studied…

Symplectic Geometry · Mathematics 2011-10-26 Alexandru Oancea

We approach the well-studied problem of supervised group invariant and equivariant machine learning from the point of view of geometric topology. We propose a novel approach using a pre-processing step, which involves projecting the input…

Machine Learning · Computer Science 2022-02-07 Benjamin Aslan , Daniel Platt , David Sheard
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