Kappa-deformed random-matrix theory based on Kaniadakis statistics
A. Y. Abul-Magd, M. Abdel-Mageed

TL;DR
This paper extends random-matrix theory using Kaniadakis statistics to describe spectral fluctuations in chaotic systems, introducing a generalized Wigner surmise and a new distribution for transition intensities that better fit experimental data.
Contribution
It proposes a novel Kappa-deformed random-matrix framework based on Kaniadakis entropy, generalizing classical ensembles and distributions for mixed chaotic systems.
Findings
Kappa-deformed ensembles depend on matrix elements in trace form
Generalized Wigner surmise describes spectral statistics in mixed systems
Kappa-parameter correlates with deviation from chaos
Abstract
We present a possible extension of the random-matrix theory, which is widely used to describe spectral fluctuations of chaotic systems. By considering the Kaniadakis non-Gaussian statistics, characterized by the index {\kappa} (Boltzmann-Gibbs entropy is recovered in the limit {\kappa}\rightarrow0), we propose the non-Gaussian deformations ({\kappa} \neq 0) of the conventional orthogonal and unitary ensembles of random matrices. The joint eigenvalue distributions for the {\kappa}-deformed ensembles are derived by applying the principle maximum entropy to Kaniadakis entropy. The resulting distribution functions are base invarient as they depend on the matrix elements in a trace form. Using these expressions, we introduce a new generalized form of the Wigner surmise valid for nearly-chaotic mixed systems, where a basis-independent description is still expected to hold. We motivate the…
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