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Random Matrix Theory (RMT) is a statistical framework used to study the properties of matrices with randomly distributed entries, providing insights into complex systems across physics, finance, and data science. It offers powerful tools for understanding eigenvalue distributions and spectral properties, which are crucial for applications ranging from quantum mechanics to wireless communication networks.
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