Statistics of Min-max Normalized Eigenvalues in Random Matrices

This article likely presents a mathematical analysis of the statistical properties of eigenvalues in random matrices, specifically focusing on a min-max normalization. The research is likely theoretical and could have implications in various fields where random matrices are used, such as physics, finance, and machine learning.