English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Emergence of Memory in Equilibrium versus Nonequilibrium Systems

MPS-Authors
/persons/resource/persons297762

Zhao,  Xizhu
Research Group of Mathematical Biophysics, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

/persons/resource/persons208623

Hartich,  David
Research Group of Mathematical Biophysics, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

/persons/resource/persons206062

Godec,  Aljaž
Research Group of Mathematical Biophysics, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

PhysRevLett.132.147101.pdf
(Publisher version), 515KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Zhao, X., Hartich, D., & Godec, A. (2024). Emergence of Memory in Equilibrium versus Nonequilibrium Systems. Physical Review Letters, 132(14): 147101. doi:10.1103/PhysRevLett.132.147101.


Cite as: https://hdl.handle.net/21.11116/0000-000F-2B20-D
Abstract
Experiments often probe observables that correspond to low-dimensional projections of high-dimensional dynamics. In such situations distinct microscopic configurations become lumped into the same observable state. It is well known that correlations between the observable and the hidden degrees of freedom give rise to memory effects. However, how and under which conditions these correlations emerge remain poorly understood. Here we shed light on two fundamentally different scenarios of the emergence of memory in minimal stationary systems, where observed and hidden degrees of freedom either evolve cooperatively or are coupled by a hidden nonequilibrium current. In the reversible setting the strongest memory manifests when the timescales of hidden and observed dynamics overlap, whereas, strikingly, in the driven setting maximal memory emerges under a clear timescale separation. Our results hint at the possibility of fundamental differences in the way memory emerges in equilibrium versus driven systems that may be utilized as a “diagnostic” of the underlying hidden transport mechanism.