# Mass transport problems

The LASSO and penalized likelihood methods have become an extremely hot topic in statistics over the past decade, as they offer a computationally efficient method of variable selection particularly in high dimensional situations.

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The basic question is whether a given unit mass distribution can be mapped in an optimal way to another given unit mass distribution. More simply, what is the easiest way of shovelling a pile of soil into a hole in the ground? This is a question that was first formulated by Monge over two hundred years ago, and which has recently received a lot of attention. It has connections with many areas of mathematics, particularly partial differential equations, measure theory and convexity theory.

An introduction to Monge-Ampere equations (and more generally to fully nonlinear elliptic equations) is Chapter 17 of Elliptic Partial Differential Equations of Second Order, by D. Gilbarg and N.S. Trudinger (you don't need to be completely familiar with the first 16 chapters, but some background in partial differential equations is certainly necessary). This book doesn't contain much geometry, but it is good for some of the analytic aspects. The Minkowski Multidimensional Problem, by A.V. Pogorelov is also a good introduction to Monge-Ampere equations, and to some related geometric problems.

The isometric embedding problem is a large topic with many interesting connections to partial differential equations. Only a small part of this is connected to Monge-Ampere equations, and there is no really good exposition of this. A good place to start is L. Nirenberg's paper on the Weyl and Minkowski problems [Comm. Pure Appl. Math. 6. (1953), 337-394] (just the introduction to see what it is about). Pogorelov's book Extrinsic Geometry of Convex Surfaces is also worth looking at.

I don't know of a really good introduction to mass transfer problems. There is a book by S.T. Rachev called Probability Metrics and the Stability of Stochastic Models, but it is diffcult to read and is mostly probability theory. There is also a recent book by Rachev called Mass Transportation Problems (in two volumes). These books give some discussion of the large range of applications. A very well written paper by W. Gangbo and R. McCann, The Geometry of Optimal Transportation [Acta Math. 177 (1996), 113161] is worth looking at to get a feeling for what it is all about. There are also several sets of lecture notes by various people dealing with different aspects of the theory.