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The Geometry of Ancient Solutions to Curvature Flows

Date Issued
August 1, 2024
Author(s)
Rengaswami, Sathyanarayanan
Advisor(s)
Theodora Bourni, Mathew Langford
Additional Advisor(s)
Vasileios Maroulas
George Siopsis
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/18606
Abstract

Following the tremendous success of the mean curvature flow, other variants such as the Gauss curvature flow, inverse mean curvature flow have been investigated in great detail, leading to interesting applications to other fields including partial differential equations, convex geometry etc. This calls for an investigation of curvature flow as a general phenomenon. While basic existence and uniqueness results, roundness estimates etc have been obtained, there isn't a substantial body of work that addresses the geometry of solutions of curvature flows and their relation to the choice of speed function used. It is therefore interesting to investigate curvature flows as a general phenomenon from a more abstract and axiomatic point of view.


In this volume, we take such an abstract point of view, and study a certain important class of solutions called \emph{ancient solutions}; in particular, we study translating solutions and the so-called ``pancake" solutions. We provide a detailed construction of these solutions, and prove their uniqueness as well. We also provide a description of their geometry. The advantage of such an abstract approach is that we can see the dependence of the solution's geometry on basic properties of the speed function, often just algebraic properties.

Finally, we also take a discrete point of view to curvature, tackling some questions about the curvature of a network (i.e. graph) and its relation to the network topology.

Subjects

differential geometry...

elliptic pde

geometric analysis

geometric flows

graph curvature

Disciplines
Geometry and Topology
Degree
Doctor of Philosophy
Major
Mathematics
File(s)
Thumbnail Image
Name

Rengaswami_Dissertation_15July2024.pdf

Size

1.24 MB

Format

Adobe PDF

Checksum (MD5)

a440bb1999d2eb149b8ea8d3222c95fb

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