Abstract

We consider a typical master equation describing thermal time-evolution. In parallel, we also consider a quasi static canonical description of the same problem. We are able to devise a way of numerically comparing these two treatments and concoct a distance-measure between them. In this way, one is in a position to know how far or close equilibrium and off-equilibrium can get. The first, rather surprising observation, is that our systems lose structural details as N grows. Also, the time-evolution of the distance between the two pertinent probability distributions is quite sensitive to the heating-cooling process.

Highlights

  • The time-evolution of the distance between the two pertinent probability distributions is quite sensitive to the heating-cooling process

  • Our aim is to derive the time evolution of the probability distribution (PD) for the entire system A + B, in a way which guarantees that normalization is preserved at any time t

  • The solution to this problem is found in the so-called master equation (ME) technique [1]

Read more

Summary

Preliminaries

Researchers often appeal to master equations (ME) to obtain an equation of motion for the reduced density operator. Our aim is to derive the time evolution of the PD for the entire system A + B, in a way which guarantees that normalization (amongst other properties) is preserved at any time t. The solution to this problem is found in the so-called master equation (ME) technique [1]. A popular, but not rigorous ME-approach can be used in the case of physical situations for which interacting systems A and B are known and well-defined so that one constructs the corresponding ME-equation of motion for the PD [1]. A beautiful instantiation of the ME-procedure is presented by Takada, Conradt, and Richet (TCR) in [2], for example, we will follow here without further ado

TCR Main Ideas
Present Goal
Paper’s Organization
M-Fermions’ Exactly Solvable Model
Model’s Treatment at Finite Temperatures T
Meaning of the Statistical Complexity Measure
Master Equations for N-Levels Systems
Distances’ Results
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.