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Geometric data analysis and learning has emerged as a distinct and rapidly developing research area, increasingly recognized for its effectiveness across diverse applications. At the heart of this field lies curvature, a powerful and…

Machine Learning · Computer Science 2025-10-28 Yasharth Yadav , Kelin Xia

We study evolutes and involutes of space curves. Although much of the material presented is not new and can be found in classic treatises, we believe that a modern and unified treatment, complemented with several novel observations, may be…

Differential Geometry · Mathematics 2024-04-05 Dmitry Fuchs , Ivan Izmestiev , Matteo Raffaelli , Gudrun Szewieczek , Serge Tabachnikov

This paper aims to provide a careful and self-contained introduction to the theory of topological degree in Euclidean spaces. It is intended for people mostly interested in analysis and, in general, a heavy background in algebraic or…

Functional Analysis · Mathematics 2023-04-14 Pierluigi Benevieri , Massimo Furi , Maria Patrizia Pera , Marco Spadini

Discrete forms of the mean and directed curvature are constructed on piecewise flat manifolds, providing local curvature approximations for smooth manifolds embedded in both Euclidean and non-Euclidean spaces. The resulting expressions take…

Differential Geometry · Mathematics 2023-04-04 Rory Conboye

This paper is the third in a series dedicated to the fundamentals of sub-Riemannian geometry and its implications in Lie groups theory: "Sub-Riemannian geometry and Lie groups. Part I", math.MG/0210189, available at…

Metric Geometry · Mathematics 2007-05-23 Marius Buliga

The book is designed for a semester-long course in Foundations of Geometry and meant to be rigorous, conservative, elementary and minimalist. List of topics: Euclidean geometry: The Axioms / Half-planes / Congruent triangles / Perpendicular…

History and Overview · Mathematics 2025-07-08 Anton Petrunin

The statistical analysis of data lying on a differentiable, locally Euclidean, manifold introduces a variety of challenges because the analogous measures to standard Euclidean statistics are local, that is only defined within a…

Methodology · Statistics 2015-11-12 Stephen Marsland , Carole J Twining

Manifold learning is a popular and quickly-growing subfield of machine learning based on the assumption that one's observed data lie on a low-dimensional manifold embedded in a higher-dimensional space. This thesis presents a mathematical…

Machine Learning · Computer Science 2020-11-04 Luke Melas-Kyriazi

The goal of these notes is to provide an informal introduction to Gromov-Witten theory with an emphasis on its role in counting curves in surfaces. These notes are based on a talk given at the Fields Institute during a week-long conference…

Algebraic Geometry · Mathematics 2014-07-07 Simon Rose

Weighted projective space arises when we consider the usual geometric definition for projective space and allow for non-trivial weights. On its own, this extra freedom gives rise to more than enough interesting phenomena, but it is the fact…

Algebraic Geometry · Mathematics 2020-11-04 Timothy Hosgood

Based on lectures delivered at (1) the AMS meeting at USC, Nov. 1992 (2) Conference on Quantum Aspects of Black Holes, ITP, UC- Santa %Barbara, %%June 1993. (3) 25th Summer Institute, Ecole Normale Superieure, % Paris, Aug. 1992. To appear…

High Energy Physics - Theory · Physics 2007-05-23 Itzhak Bars

In this work, we study symplectic structures on graded manifolds and their global counterparts, higher Lie groupoids. We begin by introducing the concept of graded manifold, starting with the degree 1 case, and translating key geometric…

Symplectic Geometry · Mathematics 2026-02-03 Miquel Cueca , Antonio Maglio , Fabricio Valencia

In this work, we give some new characterizations for inclined curves and slant helices in n-dimensional Euclidean space E^{n}. Morever, we consider the pre-characterizations about inclined curves and slant helices and reconfigure them.

Differential Geometry · Mathematics 2016-06-13 Ali Şenol , Evren Ziplar , Yusuf Yayli , İsmail Gök

These notes are based on a series of five lectures given at the 2009 Villa de Leyva Summer School on Geometric and Topological Methods for Quantum Field Theory. The purpose of the lectures was to give an introduction to…

Differential Geometry · Mathematics 2015-09-08 Florent Schaffhauser

A main goal in the field of statistical shape analysis is to define computable and informative metrics on spaces of immersed manifolds, such as the space of curves in a Euclidean space. The approach taken in the elastic shape analysis…

Differential Geometry · Mathematics 2022-09-21 Martin Bauer , Nicolas Charon , Eric Klassen , Sebastian Kurtek , Tom Needham , Thomas Pierron

This article is based on my lecture notes from summer schools at the Universities of Utah (June 2007) and Warwick (September 2007). We provide an introduction to explicit methods in the study of moduli spaces of quiver representations and…

Algebraic Geometry · Mathematics 2008-07-15 Alastair Craw

The past decade has witnessed two important new developments in the study of linear series on algebraic varieties. First, vector bundles have emerged as powerful tools for analyzing linear series on curves and surfaces. More recently, the…

alg-geom · Mathematics 2008-02-03 Robert Lazarsfeld

I apply the algebraic framework introduced in arXiv:1101.4542v3[math.MG] to Minkowski (pseudo-Euclidean) spaces in 2, 3, and 4 dimensions. The exposition follows the template established in arXiv:1307.2917[math.MG] for Euclidean spaces. The…

Metric Geometry · Mathematics 2013-07-19 Andrey Sokolov

In this article, we review the progress made on the statistical mechanics of liquids and fluids embedded in curved space. Our main focus will be on two-dimensional manifolds of constant nonzero curvature and on the influence of the latter…

Statistical Mechanics · Physics 2015-03-17 Gilles Tarjus , Francois Sausset , Pascal Viot

The present notes provide an extended version of a small lecture course given at the Humboldt Universit\"at zu Berlin in the Winter Term 2022/23 (of 36 hours). The material starting in Section 5.4 was added afterwards. The aim of these…

Mathematical Physics · Physics 2023-06-09 Alexander Mielke