New Trends on Analysis and Geometry in Metric Spaces
New Trends on Analysis and Geometry in Metric Spaces

Author: Fabrice Baudoin

Publisher: Springer Nature

Published: 2022-02-04

Total Pages: 312

ISBN-13: 3030841413

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This book includes four courses on geometric measure theory, the calculus of variations, partial differential equations, and differential geometry. Authored by leading experts in their fields, the lectures present different approaches to research topics with the common background of a relevant underlying, usually non-Riemannian, geometric structure. In particular, the topics covered concern differentiation and functions of bounded variation in metric spaces, Sobolev spaces, and differential geometry in the so-called Carnot–Carathéodory spaces. The text is based on lectures presented at the 10th School on "Analysis and Geometry in Metric Spaces" held in Levico Terme (TN), Italy, in collaboration with the University of Trento, Fondazione Bruno Kessler and CIME, Italy. The book is addressed to both graduate students and researchers.

Analysis and Geometry of Metric Measure Spaces
Analysis and Geometry of Metric Measure Spaces

Author: Galia Devora Dafni

Publisher: American Mathematical Soc.

Published: 2013

Total Pages: 241

ISBN-13: 0821894188

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Contains lecture notes from most of the courses presented at the 50th anniversary edition of the Seminaire de Mathematiques Superieure in Montreal. This 2011 summer school was devoted to the analysis and geometry of metric measure spaces, and featured much interplay between this subject and the emergent topic of optimal transportation.

Lectures on Analysis on Metric Spaces
Lectures on Analysis on Metric Spaces

Author: Juha Heinonen

Publisher: Springer Science & Business Media

Published: 2001

Total Pages: 158

ISBN-13: 9780387951041

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The purpose of this book is to communicate some of the recent advances in this field while preparing the reader for more advanced study. The material can be roughly divided into three different types: classical, standard but sometimes with a new twist, and recent. The author first studies basic covering theorems and their applications to analysis in metric measure spaces. This is followed by a discussion on Sobolev spaces emphasizing principles that are valid in larger contexts. The last few sections of the book present a basic theory of quasisymmetric maps between metric spaces. Much of the material is recent and appears for the first time in book format.

Sobolev Spaces on Metric Measure Spaces
Sobolev Spaces on Metric Measure Spaces

Author: Juha Heinonen

Publisher: Cambridge University Press

Published: 2015-02-05

Total Pages: 447

ISBN-13: 1107092345

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This coherent treatment from first principles is an ideal introduction for graduate students and a useful reference for experts.

Metric In Measure Spaces
Metric In Measure Spaces

Author: James J Yeh

Publisher: World Scientific

Published: 2019-11-18

Total Pages: 308

ISBN-13: 9813200421

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Measure and metric are two fundamental concepts in measuring the size of a mathematical object. Yet there has been no systematic investigation of this relation. The book closes this gap.

An Invitation to Alexandrov Geometry
An Invitation to Alexandrov Geometry

Author: Stephanie Alexander

Publisher: Springer

Published: 2019-05-08

Total Pages: 95

ISBN-13: 3030053121

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Aimed toward graduate students and research mathematicians, with minimal prerequisites this book provides a fresh take on Alexandrov geometry and explains the importance of CAT(0) geometry in geometric group theory. Beginning with an overview of fundamentals, definitions, and conventions, this book quickly moves forward to discuss the Reshetnyak gluing theorem and applies it to the billiards problems. The Hadamard–Cartan globalization theorem is explored and applied to construct exotic aspherical manifolds.

A Course in Metric Geometry
A Course in Metric Geometry

Author: Dmitri Burago

Publisher: American Mathematical Soc.

Published: 2001

Total Pages: 434

ISBN-13: 0821821296

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"Metric geometry" is an approach to geometry based on the notion of length on a topological space. This approach experienced a very fast development in the last few decades and penetrated into many other mathematical disciplines, such as group theory, dynamical systems, and partial differential equations. The objective of this graduate textbook is twofold: to give a detailed exposition of basic notions and techniques used in the theory of length spaces, and, more generally, to offer an elementary introduction into a broad variety of geometrical topics related to the notion of distance, including Riemannian and Carnot-Caratheodory metrics, the hyperbolic plane, distance-volume inequalities, asymptotic geometry (large scale, coarse), Gromov hyperbolic spaces, convergence of metric spaces, and Alexandrov spaces (non-positively and non-negatively curved spaces).

Measure Theory in Non-Smooth Spaces
Measure Theory in Non-Smooth Spaces

Author: Nicola Gigli

Publisher: De Gruyter Open

Published: 2017-08-20

Total Pages: 246

ISBN-13: 9783110550825

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Analysis in singular spaces is becoming an increasingly important area of research, with motivation coming from the calculus of variations, PDEs, geometric analysis, metric geometry and probability theory, just to mention a few areas. In all these fields, the role of measure theory is crucial and an appropriate understanding of the interaction between the relevant measure-theoretic framework and the objects under investigation is important to a successful research. The aim of this book, which gathers contributions from leading specialists with different backgrounds, is that of creating a collection of various aspects of measure theory occurring in recent research with the hope of increasing interactions between different fields. List of contributors: Luigi Ambrosio, Vladimir I. Bogachev, Fabio Cavalletti, Guido De Philippis, Shouhei Honda, Tom Leinster, Christian L�onard, Andrea Marchese, Mark W. Meckes, Filip Rindler, Nageswari Shanmugalingam, Takashi Shioya, and Christina Sormani.

Gradient Flows
Gradient Flows

Author: Luigi Ambrosio

Publisher: Springer Science & Business Media

Published: 2008-10-29

Total Pages: 333

ISBN-13: 376438722X

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The book is devoted to the theory of gradient flows in the general framework of metric spaces, and in the more specific setting of the space of probability measures, which provide a surprising link between optimal transportation theory and many evolutionary PDE's related to (non)linear diffusion. Particular emphasis is given to the convergence of the implicit time discretization method and to the error estimates for this discretization, extending the well established theory in Hilbert spaces. The book is split in two main parts that can be read independently of each other.