Discussion Overview
The discussion revolves around the relevance and availability of measure theory courses for graduate studies in economics. Participants explore the implications of measure theory in economics, its prerequisites, and its applications in various fields, including econometrics and medical imaging.
Discussion Character
- Exploratory
- Debate/contested
- Technical explanation
Main Points Raised
- Some participants suggest looking for courses covering Lebesgue integration, which may be listed under different names such as Second Course in Analysis or Introduction to Topology and Analysis.
- There is a viewpoint that measure theory is essential for a solid mathematical foundation in economics, with some arguing it is akin to advanced calculus.
- Participants express uncertainty about the direct applications of measure theory in economics, with some questioning its necessity outside of preparatory contexts for econometrics.
- One participant mentions the use of measure theory in medical imaging, specifically referencing the Radon-Nikodym theorem, while others challenge the assertion that MRI technology relies on measure theory.
- There are discussions about the prerequisites for measure theory, with suggestions that a background in advanced calculus, real analysis, and topology is beneficial.
- Some participants express skepticism about the claim that measure theory is widely applicable in economics, suggesting it may be more relevant for a broad mathematical background rather than direct application.
Areas of Agreement / Disagreement
Participants do not reach a consensus on the necessity and application of measure theory in economics. Multiple competing views exist regarding its relevance and the appropriate course offerings.
Contextual Notes
Some participants note the lack of clarity regarding the specific course offerings at different institutions and the varying prerequisites that may exist for studying measure theory.