Geometric Analysis of Energy Minimizing Maps: Tangent Maps and Singularities
Owen Drummond

TL;DR
This paper investigates the geometric and analytic properties of energy minimizing maps, tangent maps, and their singularities, providing new insights into their structure, compactness, and dimension within the calculus of variations and geometric analysis.
Contribution
It introduces new results on tangent maps, singular set structure, and properties like upper semi-continuity of the density function, advancing understanding of energy minimizing maps in geometric analysis.
Findings
Established compactness theorem for tangent maps
Analyzed Hausdorff dimension of the singular set
Proved properties of the density function and homogeneous minimizers
Abstract
Energy minimizing maps (E.M.M.s) play a central role in the calculus of variations, partial differential equations (PDEs), and geometric analysis. These maps are often embedded into Riemannian manifolds to minimize the Dirichlet Energy functional under certain prescribed conditions. For understanding physical phenomena where systems naturally evolve to states of minimal energy, the geometric analysis of these maps has provided elucidating insights. This paper explores the geometric and analytic properties of energy minimizing maps, tangent maps, and the singular set (sing(u)). We begin by establishing key concepts from analysis, including the Sobolev Space harmonic functions, and Hausdorff dimension. Significant results about the density function, its upper semi-continuity, and the compactness theorem for tangent maps, and theorems for homogeneous degree zero…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Computer Graphics and Visualization Techniques · 3D Shape Modeling and Analysis
