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We present a new general theory of function-based hypergraph transformations on finite families of finite hypergraphs. A function-based hypergraph transformation formalises the action of structurally modifying hypergraphs from a family in a…

Combinatorics · Mathematics 2023-09-26 Sean Trinity Vittadello

We study vector spaces associated to a family of generalized Euler integrals. Their dimension is given by the Euler characteristic of a very affine variety. Motivated by Feynman integrals from particle physics, this has been investigated…

Algebraic Geometry · Mathematics 2025-05-27 Daniele Agostini , Claudia Fevola , Anna-Laura Sattelberger , Simon Telen

We look at sections of a function bundle over the space of linear differential operators. We find that one can construct an isomorphism between a certain quotient bundle and the fourier counterpart of the original bundle defined by formal…

Mathematical Physics · Physics 2007-05-23 M. Stenmark

This Ph.D. thesis provides a comprehensive review of the state-of-the-art in the field of Variational Quantum Algorithms and Quantum Machine Learning, including numerous original contributions. The first chapters are devoted to a brief…

Quantum Physics · Physics 2023-06-19 Stefano Mangini

This paper gives a new elementary proof of the theorem that all vector bundles on $\mathbb P^1$ split into the direct sum of line bundles. The proof is based on the study of divisors associated to germs of sections at the generic point.

Algebraic Geometry · Mathematics 2011-11-08 William F. Sawin

This paper is based on my talk at ICM on recent progress in a number of classical problems of linear algebra and representation theory, based on new approach, originated from geometry of stable bundles and geometric invariant theory.

Representation Theory · Mathematics 2007-05-23 Alexander Klyachko

Batch Normalization (BN) improves both convergence and generalization in training neural networks. This work understands these phenomena theoretically. We analyze BN by using a basic block of neural networks, consisting of a kernel layer, a…

Machine Learning · Computer Science 2019-04-25 Ping Luo , Xinjiang Wang , Wenqi Shao , Zhanglin Peng

We investigate the existence of coordinate transformations which bring a given vector field on a manifold equipped with an involutive distribution into the form of a second-order differential equation field with parameters. We define…

Differential Geometry · Mathematics 2011-12-06 T. Mestdag , M. Crampin

In this paper we provide sufficient conditions for maps of vector bundles on smooth projective varieties to be uniquely determined by their degeneracy schemes. We then specialize to holomorphic distributions and foliations. In particular,…

Algebraic Geometry · Mathematics 2018-10-15 Carolina Araujo , Maurício Corrêa

The paper contains a review on the general connection theory on differentiable fibre bundles. Particular attention is paid to (linear) connections on vector bundles. The (local) representations of connections in frames adapted to holonomic…

Mathematical Physics · Physics 2007-05-23 Bozhidar Z. Iliev

A theory of double affine and special double affine bundles, i.e. differential manifolds with two compatible (special) affine bundle structures, is developed as an affine counterpart of the theory of double vector bundles. The motivation…

Differential Geometry · Mathematics 2011-11-22 Janusz Grabowski , Mikolaj Rotkiewicz , Pawel Urbanski

In this work we introduce a convolution operation over the tangent bundle of Riemann manifolds in terms of exponentials of the Connection Laplacian operator. We define tangent bundle filters and tangent bundle neural networks (TNNs) based…

Signal Processing · Electrical Eng. & Systems 2024-03-19 Claudio Battiloro , Zhiyang Wang , Hans Riess , Paolo Di Lorenzo , Alejandro Ribeiro

Given a vector bundle $E$ of rank $r$ and degree $d$ on a curve $C$ of genus $g$, one can associate to $E$ in a natural way several other vector bundles. For example, one can take wedge powers of $E$. If $E$ is generated by global sections,…

Algebraic Geometry · Mathematics 2007-06-28 Tawanda Gwena , Montserrat Teixidor i Bigas

We give closed-form formulas for the fundamental classes of degeneracy loci associated with vector bundle maps given locally by (not necessary square) matrices which are symmetric (resp. skew-symmetric) w.r.t. the main diagonal. Our…

Algebraic Geometry · Mathematics 2007-05-23 Alain Lascoux , Piotr Pragacz

Criteria for a diffeomorphism of a smooth manifold $M$ to be lifted to a linear automorphism of a given real vector bundle $p\colon V\rightarrow M$, are stated. Examples are included and the metric and complex vector-bundle cases are also…

Differential Geometry · Mathematics 2025-02-04 Jaime Muñoz Masqué , Eugenia Rosado María , Ignacio Sánchez Rodríguez

We extend the well-known formula for the Euler class of a real oriented even-dimensional vector bundle in terms of the curvature of a metric connection to the case of a general linear connection provided a metric is present. We rewrite the…

Differential Geometry · Mathematics 2021-06-29 Brian Klatt

There is a beautiful correspondence between configurations of lines on a rational surface and tautological bundles over that surface. We extend this correspondence to families, by means of a generalized Fourier-Mukai transform that relates…

Algebraic Geometry · Mathematics 2015-10-20 Ron Donagi , Martijn Wijnholt

This is a survey of some recent applications of Boolean valued models of set theory to order bounded operators in vector lattices.

Functional Analysis · Mathematics 2016-11-09 A. G. Kusraev , S. S. Kutateladze

We consider natural differential operations acting on sections of tensor vector bundles. Arrising problems can be reformulated as invariant theoretical problems (the IT-reduction). We give examples of usage of the IT-reduction. In…

Differential Geometry · Mathematics 2007-05-23 P. I. Katsylo

Many fundamental machine learning tasks can be formulated as a problem of learning with vector-valued functions, where we learn multiple scalar-valued functions together. Although there is some generalization analysis on different specific…

Machine Learning · Computer Science 2021-04-30 Liang Wu , Antoine Ledent , Yunwen Lei , Marius Kloft