Effect of dynamics on anomalous thermal relaxations and information exchange
Saikat Bera, Matthew R. Walker, Marija Vucelja

TL;DR
This paper investigates the conditions under which the Mpemba effect occurs in Markov jump processes, providing analytical insights and demonstrating potential applications in Maxwell demon setups for improved thermodynamic performance.
Contribution
It offers analytical criteria for the Mpemba effect in reaction networks and explores its application in enhancing Maxwell demon cycle efficiency.
Findings
Strong Mpemba effect regions are non-overlapping for cooling and heating.
At most one Strong Mpemba temperature exists.
Utilizing the effect can shorten Maxwell demon cycles and increase power output.
Abstract
The Mpemba effect, an example of anomalous thermal relaxations, occurs when a system prepared at a hot temperature overtakes an identical system prepared at a warm temperature and cools down faster to the environment's temperature. We study the Mpemba effect in Markov jump processes on linear reaction networks as a function of the relaxation dynamics. The dynamics are characterized by a load distribution factor introduced to control the transition rates in a manner that obeys detailed balance. We provide analytical results and insights on when the Mpemba effect happens in the unimolecular reactions of three species as a function of the dynamics. In particular, we derive that the regions of the Strong Mpemba effect in cooling and heating are non-overlapping and that there is, at most, a single Strong Mpemba temperature. Next, we illustrate our results on a Maxwell demon setup, where we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Neural dynamics and brain function · stochastic dynamics and bifurcation
