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Information Geometry in Roegenian Economics
Constantin Udriste1, Ionel Tevy1
1Department of Mathematics-Informatics, Faculty of Applied Sciences, University Politehnica of Bucharest, Splaiul Independentei 313, Sector 6, 060042 Bucharest, Romania.
This study characterizes the geometry of the statistical Roegenian manifold for ideal income, contrasting it with the Van der Waals income model. Analysis reveals key geometric properties without phase transitions.
Area of Science:
- Economics
- Statistical Mechanics
- Information Geometry
Background:
- The Roegenian manifold models income distribution from noninteracting economic actors.
- Understanding economic manifold geometry offers insights into market dynamics.
Purpose of the Study:
- To characterize the statistical Roegenian manifold geometry for ideal income.
- To provide a comparative analysis with the Van der Waals income model.
Main Methods:
- Analysis of partition function in distribution.
- Calculation of scalar curvature.
- Geodesic analysis on the manifold.
Main Results:
- Detailed characterization of the ideal income Roegenian manifold.
- No phase transition observed in the ideal income model.
- Geometric insights contrasting with the Van der Waals model.
Conclusions:
- The ideal income Roegenian manifold geometry is fully characterized.
- The study highlights differences with economic models exhibiting phase transitions, like Van der Waals income.
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