Spectral Bounds on Entropy and Ergotropy via Statistical Effective Temperature in Classical Polarization and Quantum Thermal States
Tariq Aziz, Meng-Long Song, Liu Ye, Dong Wang, Jos\'e J. Gil, and Sabre Kais

TL;DR
This paper introduces a spectral approach to define a statistical effective temperature (SET) for classical and quantum systems, providing bounds on entropy and ergotropy without relying on Hamiltonians, applicable to finite-dimensional states.
Contribution
It proposes a unified spectral framework for SET applicable to classical and quantum states, deriving bounds on entropy and ergotropy, and introduces structured states that saturate these bounds.
Findings
Spectral bounds on entropy reveal physically realizable regions.
Derived universal reference curves within entropy bounds.
Established maximum ergotropy as a function of entropy and SET.
Abstract
We formulate a unified definition of the statistical effective temperature (SET) for finite-dimensional classical and quantum systems using dimension-dependent indices of purity derived from the eigenvalue spectrum. This spectral approach bypasses the need for Hamiltonians or energy gaps and remains applicable to both quantum density matrices and classical polarization coherency matrices. The SET framework naturally describes the divergence of inverse temperature near pure, non-degenerate states, consistent with the third law. Using entropy-SET diagrams, we explore spectral bounds in two-, three-, and four-level systems, which reveal physically realizable entropy regions, rank-dependent constraints, and cusp-like features. A Hamiltonian-free parametric spectrum ansatz provides a universal reference curve within these bounds. Furthermore, we derive spectral bounds on ergotropy as a…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Complex Network Analysis Techniques · Neural Networks and Applications
