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This article is dedicated to the study of the normal functor in the category of smooth real vector bundles. Particularly, we focus on a symmetry phenomena which occurs after iterating two times the normal functor on a commutative square of…

Category Theory · Mathematics 2026-04-10 Quentin Karegar Baneh Kohal

In recent years, stochastic variance reduction algorithms have attracted considerable attention for minimizing the average of a large but finite number of loss functions. This paper proposes a novel Riemannian extension of the Euclidean…

Machine Learning · Computer Science 2019-06-03 Hiroyuki Sato , Hiroyuki Kasai , Bamdev Mishra

It is shown that Euclidean field theory with polynomial interaction, can be regularized using the wavelet representation of the fields. The connections between wavelet based regularization and stochastic quantization are considered.

High Energy Physics - Theory · Physics 2007-05-23 M V Altaisky

We give an Eynard-Orantin type topological recursion formula for the canonical Euclidean volume of the combinatorial moduli space of pointed smooth algebraic curves. The recursion comes from the edge removal operation on the space of ribbon…

Algebraic Geometry · Mathematics 2014-11-05 Kevin M. Chapman , Motohico Mulase , Brad Safnuk

This is the first paper in a series introducing a generalized Fredholm theory in a new class of smooth spaces called polyfolds. The theory will be illustrated in upcoming papers by applications to Floer Theory, Gromov-Witten Theory and…

Functional Analysis · Mathematics 2007-06-13 Helmut Hofer , Kris Wysocki , Eduard Zehnder

We apply Nelson's technique of constructing Euclidean fields to the case of classical scalar fields on curved spaces. It is shown how to construct a transfer matrix and, for a class of metrics, the basic spectral properties of its generator…

Mathematical Physics · Physics 2015-06-26 E. Prodan

We analyze the problem of global reconstruction of functions as accurately as possible, based on partial information in the form of a truncated power series at some point, and additional analyticity properties. This situation occurs…

Complex Variables · Mathematics 2022-05-30 Ovidiu Costin , Gerald V. Dunne

A generic theory of a single real scalar field is considered, and a simple method is presented for obtaining a class of solutions to the equation of motion. These solutions are obtained from a simpler equation of motion that is generated by…

High Energy Physics - Theory · Physics 2008-11-26 J. R. Morris

We prove a general representation stability result for polynomial coefficient systems which lets us prove representation stability and secondary homological stability for many families of groups with polynomial coefficients. This gives two…

Algebraic Topology · Mathematics 2021-06-22 Jeremy Miller , Peter Patzt , Dan Petersen

We demonstrate the existence of smooth three-dimensional vector fields where the cross product between the vector field and its curl is balanced by the gradient of a smooth function, with toroidal level sets that are not invariant under…

Analysis of PDEs · Mathematics 2025-06-02 Naoki Sato , Michio Yamada

In this paper we extend to a generic class of piecewise smooth dynamical systems a fundamental tool for the analysis of convergence of smooth dynamical systems: contraction theory. We focus on switched systems satisfying Caratheodory…

Optimization and Control · Mathematics 2011-10-06 Mario di Bernardo , Davide Liuzza , Giovanni Russo

Normalizing flows are a powerful tool for building expressive distributions in high dimensions. So far, most of the literature has concentrated on learning flows on Euclidean spaces. Some problems however, such as those involving angles,…

Thesis includes review on the large order behaviour of perturbation theory in quantum mechanical and field theory models; generalization of the Borel summability and strong asymptotic conditions to various (including horn-shaped) regions;…

High Energy Physics - Theory · Physics 2008-02-03 Alexander Moroz

Different (not only by sign) affine connections are introduced for contravariant and covariant tensor fields over a differentiable manifold by means of a non-canonical contraction operator, defining the notion dual bases and commuting with…

General Relativity and Quantum Cosmology · Physics 2007-05-23 S. Manoff

We deal with a robust notion of weak normals for a wide class of irregular curves defined in Euclidean spaces of high dimension. Concerning polygonal curves, the discrete normals are built up through a Gram-Schmidt procedure applied to…

Differential Geometry · Mathematics 2021-05-11 Domenico Mucci , Alberto Saracco

For a function of a type $ \left| \mathbf{r}_1{+}\ldots {+}\mathbf{r}_{_N} \right|^{-\nu} \in \mathbb{R} $ from the many-dimensional vectors $ \mathbf{r}_s $ in Euclidean space, the successive algebraic approach is the derivation of the…

General Mathematics · Mathematics 2017-12-05 Robert F. Akhmetyanov , Elena S. Shikhovtseva

This is the revised version of the second paper in a series introducing a generalized Fredholm theory in a new class of smooth spaces called polyfolds. The theory will be illustrated in upcoming papers by applications to Floer Theory,…

Functional Analysis · Mathematics 2008-04-15 Helmut Hofer , Kris Wysocki , Eduard Zehnder

We discuss a special class of solutions to the minimal surface system. These are vector-valued functions that "decrease area" and are natural generalization of scalar functions. After defining area-decreasing maps, we show several classical…

Differential Geometry · Mathematics 2007-05-23 Mu-Tao Wang

We consider the category of perverse sheaves on a complex vector space smooth with respect to a stratification given by an arrangement of hyperplanes with real equations. As shown in an earlier wotk of two of the authors, this category can…

Algebraic Topology · Mathematics 2022-06-28 Michael Finkelberg , Mikhail Kapranov , Vadim Schechtman

We present a new feature extraction method for complex and large datasets, based on the concept of transport operators on graphs. The proposed approach generalizes and extends the many existing data representation methodologies built upon…

Machine Learning · Computer Science 2019-11-01 Wojciech Czaja , Dong Dong , Pierre-Emmanuel Jabin , Franck Olivier Ndjakou Njeunje
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