Geometric measure theory in Wasserstein spaces – Complete Phd and Masters Thesis

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Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Objectives of the Study
1.4 Research Questions
1.5 Significance of the Study
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter 2: Literature Review
2.1 Introduction to Geometric Measure Theory
2.2 Overview of Wasserstein Spaces
2.3 Previous Studies on Geometric Measure Theory in Wasserstein Spaces
2.4 Gaps in Literature

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Procedures

Chapter 4: Discussion of Findings
4.1 Analysis of Data
4.2 Interpretation of Results
4.3 Comparison with Previous Studies
4.4 Implications of Findings

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Recommendations for Future Research

Brief Overview on Thesis “Geometric Measure Theory in Wasserstein Spaces”

Geometric measure theory is a branch of mathematics that studies geometric properties of sets and measures. Wasserstein spaces, on the other hand, are metric spaces where the distance between two probability measures is defined in terms of optimal transport. This thesis aims to explore the application of geometric measure theory in Wasserstein spaces.

The introduction provides background information on the topic, stating the problem, objectives, and scope of the study. The literature review examines previous studies on geometric measure theory and Wasserstein spaces, highlighting gaps in research. The research methodology section outlines the design, data collection methods, and analysis procedures used in the study.

The discussion of findings section analyzes the data collected, interprets the results, and compares them with previous studies. The conclusion and summary section provides a summary of the findings, conclusions drawn from the study, and recommendations for future research in this area.

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