Real and complex Monge-Ampère equations, statistical mechanics and canonical metrics
Doctoral thesis, 2018
Statistical Mechanics
Point Processes
Hessian manifolds
Kähler geometry
Optimal Transport
Canonical metrics
Complex Monge-Ampère equations
Real Monge-Ampère equations
Kähler-Einstein metrics
Author
Jakob Hultgren
Chalmers, Mathematical Sciences, Algebra and geometry
This thesis contains four papers contributing to this field. The first paper explores a recently discovered connection to probability and statistical mechanics in which the objects of interest can be described as clouds of large numbers of interacting particles. The second paper proves that solutions to an equation related to the Einstein Field Equations minimise a certain energy type quantity, which can be formulated in terms of the theory of Optimal Transport. The motivation for this work is twofold. On the one hand, it paves the way for an interpretation in terms of statistical mechanics for these equations. On the other hand, it is a preparation to adress a question about certain types of degenerating geometric objects, asked independently by several mathematicians in the early 2000’s, motivated by the notion of mirror symmetry in string theory. In the third paper, the discovery of a new type of geometric objects is presented, which puts Einstein Field Equations into a more general setting. This paper also provides a connection to the algebraic point of view in geometry, similar to a link which has been studied by many mathematicians during the last 20 years that relates the Einstein Field Equations to the algebraic point of view in geometry. In the fourth paper we show that in many situations this connection can be expressed in surprisingly concrete terms using the geometry of polytopes.
Subject Categories
Algebra and Logic
Geometry
Probability Theory and Statistics
Mathematical Analysis
Roots
Basic sciences
ISBN
978-91-7597-719-5
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4400
Publisher
Chalmers
Lecture hall Euler, Mathematical Sciences, Skeppsgränd 3
Opponent: Associate Professor Song Sun, University of California, Berkeley, US