The power-spectrum tensor in steady-state systems and its role in quantum friction
F. Intravaia, K. Busch
TL;DR
The paper develops a general framework for the power-spectrum tensor $\underline{S}(\omega)$ of quantum systems in nonequilibrium steady states, extending beyond traditional equilibrium fluctuation-dissipation relations. It derives a structural decomposition of $\underline{S}(\omega)$ into a real symmetric part and a rotation-like term, relates it to the susceptibility $\underline{\alpha}(\omega)$, and introduces a nonequilibrium correction $\underline{J}(\omega)$ that quantifies deviations from the standard FDT. The authors then apply the framework to quantum friction, showing how the power spectrum and the electromagnetic environment determine a velocity-dependent friction force via the Green tensor $\underline{G}_{\Im}$, with symmetry arguments enforcing $F_{\rm fr}(v)$ to be odd in $v$. An exactly solvable 3D isotropic oscillator model illustrates these concepts, providing explicit expressions for $\underline{S}(\omega,v)$ and validating the general results, including crossing relations and the nontrivial role of $\underline{J}(\omega)$. Overall, the work offers a robust, microscope-free approach to analyze nonequilibrium fluctuation phenomena and thermodynamic consistency in fluctuation-induced forces.
Abstract
We derive and classify properties of the power-spectrum tensor for systems in general steady-states, including stationary states not necessarily corresponding to equilibrium configurations. We establish a rigorous connection between the power-spectrum tensor and other quantities that characterize these systems, providing a systematic comparison with their equilibrium counterparts. As a physical application, we investigate the problem of quantum friction, describing the contactless quantum-electrodynamic drag acting on a particle moving in close proximity to material bodies at zero temperature. Specifically, we demonstrate how including additional information about the system's physical properties facilitates the derivation of more precise constraints on the power spectrum and its functional dependencies.
