Softcover ISBN:  9781470467265 
Product Code:  GSM/58.S 
List Price:  $89.00 
MAA Member Price:  $80.10 
AMS Member Price:  $71.20 
eBook ISBN:  9781470418045 
Product Code:  GSM/58.E 
List Price:  $85.00 
MAA Member Price:  $76.50 
AMS Member Price:  $68.00 
Softcover ISBN:  9781470467265 
eBook: ISBN:  9781470418045 
Product Code:  GSM/58.S.B 
List Price:  $174.00 $131.50 
MAA Member Price:  $156.60 $118.35 
AMS Member Price:  $139.20 $105.20 
Softcover ISBN:  9781470467265 
Product Code:  GSM/58.S 
List Price:  $89.00 
MAA Member Price:  $80.10 
AMS Member Price:  $71.20 
eBook ISBN:  9781470418045 
Product Code:  GSM/58.E 
List Price:  $85.00 
MAA Member Price:  $76.50 
AMS Member Price:  $68.00 
Softcover ISBN:  9781470467265 
eBook ISBN:  9781470418045 
Product Code:  GSM/58.S.B 
List Price:  $174.00 $131.50 
MAA Member Price:  $156.60 $118.35 
AMS Member Price:  $139.20 $105.20 

Book DetailsGraduate Studies in MathematicsVolume: 58; 2003; 370 ppMSC: Primary 49; Secondary 35; 60
This is the first comprehensive introduction to the theory of mass transportation with its many—and sometimes unexpected—applications. In a novel approach to the subject, the book both surveys the topic and includes a chapter of problems, making it a particularly useful graduate textbook.
In 1781, Gaspard Monge defined the problem of “optimal transportation” (or the transferring of mass with the least possible amount of work), with applications to engineering in mind. In 1942, Leonid Kantorovich applied the newborn machinery of linear programming to Monge's problem, with applications to economics in mind. In 1987, Yann Brenier used optimal transportation to prove a new projection theorem on the set of measure preserving maps, with applications to fluid mechanics in mind.
Each of these contributions marked the beginning of a whole mathematical theory, with many unexpected ramifications. Nowadays, the MongeKantorovich problem is used and studied by researchers from extremely diverse horizons, including probability theory, functional analysis, isoperimetry, partial differential equations, and even meteorology.
Originating from a graduate course, the present volume is intended for graduate students and researchers, covering both theory and applications. Readers are only assumed to be familiar with the basics of measure theory and functional analysis.
ReadershipGraduate students and research mathematicians interested in probability theory, functional analysis, isoperimetry, partial differential equations, and meteorology.

Table of Contents

Chapters

Chapter 1. Introduction

Chapter 2. The Kantorovich duality

Chapter 3. Geometry of optimal transportation

Chapter 4. Brenier’s polar factorization theorem

Chapter 5. The MongeAmpère equation

Chapter 6. Displacement interpolation and displacement convexity

Chapter 7. Geometric and Gaussian inequalities

Chapter 8. The metric side of optimal transportation

Chapter 9. A differential point of view on optimal transportation

Chapter 10. Entropy production and transportation inequalities

Chapter 11. Problems


Additional Material

Reviews

Villani writes with enthusiasm, and his approachable style is aided by pleasant typography. The exposition is far from rigid. ... As an introduction to an active and rapidly growing area of research, this book is greatly to be welcomed. Much of it is accessible to the novice research student possessing a solid background in real analysis, yet even experienced researchers will find it a stimulating source of novel applications, and a guide to the latest literature.
Geoffrey Burton, Bulletin of the LMS 
Cedric Villani's book is a lucid and very readable documentation of the tremendous recent analytic progress in ‘optimal mass transportation’ theory and of its diverse and unexpected applications in optimization, nonlinear PDE, geometry, and mathematical physics.
Lawrence C. Evans, University of California at Berkeley 
The book is clearly written and well organized and can be warmly recommended as an introductory text to this multidisciplinary area of research, both pure and applied  the mass transportation problem.
Studia Universitatis BabesBolyaiMathematica 
This is a very interesting book: it is the first comprehensive introduction to the theory of mass transportation with its many  and sometimes unexpected  applications. In a novel approach to the subject, the book both surveys the topic and includes a chapter of problems, making it a particularly useful graduate textbook.
Olaf Ninnemann for Zentralblatt MATH


RequestsReview Copy – for publishers of book reviewsPermission – for use of book, eBook, or Journal contentAccessibility – to request an alternate format of an AMS title
 Book Details
 Table of Contents
 Additional Material
 Reviews
 Requests
This is the first comprehensive introduction to the theory of mass transportation with its many—and sometimes unexpected—applications. In a novel approach to the subject, the book both surveys the topic and includes a chapter of problems, making it a particularly useful graduate textbook.
In 1781, Gaspard Monge defined the problem of “optimal transportation” (or the transferring of mass with the least possible amount of work), with applications to engineering in mind. In 1942, Leonid Kantorovich applied the newborn machinery of linear programming to Monge's problem, with applications to economics in mind. In 1987, Yann Brenier used optimal transportation to prove a new projection theorem on the set of measure preserving maps, with applications to fluid mechanics in mind.
Each of these contributions marked the beginning of a whole mathematical theory, with many unexpected ramifications. Nowadays, the MongeKantorovich problem is used and studied by researchers from extremely diverse horizons, including probability theory, functional analysis, isoperimetry, partial differential equations, and even meteorology.
Originating from a graduate course, the present volume is intended for graduate students and researchers, covering both theory and applications. Readers are only assumed to be familiar with the basics of measure theory and functional analysis.
Graduate students and research mathematicians interested in probability theory, functional analysis, isoperimetry, partial differential equations, and meteorology.

Chapters

Chapter 1. Introduction

Chapter 2. The Kantorovich duality

Chapter 3. Geometry of optimal transportation

Chapter 4. Brenier’s polar factorization theorem

Chapter 5. The MongeAmpère equation

Chapter 6. Displacement interpolation and displacement convexity

Chapter 7. Geometric and Gaussian inequalities

Chapter 8. The metric side of optimal transportation

Chapter 9. A differential point of view on optimal transportation

Chapter 10. Entropy production and transportation inequalities

Chapter 11. Problems

Villani writes with enthusiasm, and his approachable style is aided by pleasant typography. The exposition is far from rigid. ... As an introduction to an active and rapidly growing area of research, this book is greatly to be welcomed. Much of it is accessible to the novice research student possessing a solid background in real analysis, yet even experienced researchers will find it a stimulating source of novel applications, and a guide to the latest literature.
Geoffrey Burton, Bulletin of the LMS 
Cedric Villani's book is a lucid and very readable documentation of the tremendous recent analytic progress in ‘optimal mass transportation’ theory and of its diverse and unexpected applications in optimization, nonlinear PDE, geometry, and mathematical physics.
Lawrence C. Evans, University of California at Berkeley 
The book is clearly written and well organized and can be warmly recommended as an introductory text to this multidisciplinary area of research, both pure and applied  the mass transportation problem.
Studia Universitatis BabesBolyaiMathematica 
This is a very interesting book: it is the first comprehensive introduction to the theory of mass transportation with its many  and sometimes unexpected  applications. In a novel approach to the subject, the book both surveys the topic and includes a chapter of problems, making it a particularly useful graduate textbook.
Olaf Ninnemann for Zentralblatt MATH