English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Preprint

Detailed balance in non-equilibrium dynamics of granular matter: derivation and implications

MPS-Authors
/persons/resource/persons300408

Wanjura,  Clara C.
Marquardt Division, Max Planck Institute for the Science of Light, 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)

2404.05059.pdf
(Preprint), 5MB

Supplementary Material (public)

Bildschirmfoto 2024-04-29 um 13.52.05.png
(Supplementary material), 39KB

Citation

Wanjura, C. C., Mayländer, A., Marti, O., & Blumenfeld, R. (2024). Detailed balance in non-equilibrium dynamics of granular matter: derivation and implications. arXiv 2404.05059.


Cite as: https://hdl.handle.net/21.11116/0000-000F-3A20-C
Abstract
Discovering fundamental principles governing the dynamics of granular media has been a long-standing challenge. Recent predictions of detailed balance steady states (DBSS), supported by experimental observations in cyclic shear experiments of planar granular systems, called into question the common belief that the detailed balance principle is only a feature of equilibrium. Here, we first show analytically that DBSS in planar granular dynamics arise when a certain conditional cell order distribution is independent of the condition. We then demonstrate that this condition is met in rotational shear experiments, which indeed also give rise to robust DBSS. This suggests that DBSS not only exist but are also quite common. We also show that, when the unconditional cell order distribution maximises the entropy, as has been found recently, then this distribution is determined by a single parameter - the ratio of splitting and merging rates of cells of any arbitrary order. These results simplify the modelling of the complex dynamics of planar granular systems to the solution of recently proposed evolution equations, demonstrating their predictive power.