Estimator of entropy production for partially accessible Markov networks based on the observation of blurred transitions

Ertel, Benjamin; Seifert, Udo

doi:10.1103/physreve.109.054109

Phys. Rev. E

2024

DOI: 10.1103/physreve.109.054109

|View full text |Cite

Estimator of entropy production for partially accessible Markov networks based on the observation of blurred transitions

Benjamin Ertel,

Udo Seifert

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Dissipation at limited resolutions: power law and detection of hidden dissipative scales

Yu,

Harunari

2024

J. Stat. Mech.

View full text Add to dashboard Cite

Non-equilibrium systems, in particular, living organisms, are maintained by irreversible transformations of energy that drive diverse functions. Quantifying their irreversibility, as measured by energy dissipation, is essential for understanding the underlying mechanisms. However, existing techniques usually overlook experimental limitations, either by assuming full information or by employing a coarse-graining method that requires knowledge of the structure behind hidden degrees of freedom. Here, we study the inference of dissipation from finite-resolution measurements by employing a recently developed model-free estimator that considers both the sequence of coarse-grained transitions and the waiting time distributions: σ 2 = σ 2 ℓ + σ 2 t . The dominant term σ 2 ℓ originates from the sequence of observed transitions. We find that it scales with resolution following a power law. Comparing the scaling exponent with a previous estimator highlights the importance of accounting for flux correlations at lower resolutions. σ 2 t comes from asymmetries in waiting time distributions. It is non-monotonic in resolution, with its peak position revealing characteristic scales of the underlying dissipative process, consistent with observations in the actomyosin cortex of starfish oocytes. Alternatively, the characteristic scale can be detected in a crossover of the scaling of σ 2 ℓ . This provides a novel perspective for extracting otherwise hidden characteristic dissipative scales directly from dissipation measurements. We illustrate these results in biochemical models as well as complex networks. Overall, this study highlights the significance of resolution considerations in non-equilibrium systems, providing insight into the interplay between experimental resolution, entropy production and underlying complexity.

show abstract

Dissipation at limited resolutions: power law and detection of hidden dissipative scales

Yu,

Harunari

2024

J. Stat. Mech.

View full text Add to dashboard Cite

show abstract

Uncovering nonequilibrium from unresolved events

Harunari

2024

Phys. Rev. E

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Estimator of entropy production for partially accessible Markov networks based on the observation of blurred transitions

Cited by 2 publications

References 63 publications

Dissipation at limited resolutions: power law and detection of hidden dissipative scales

Dissipation at limited resolutions: power law and detection of hidden dissipative scales

Uncovering nonequilibrium from unresolved events

Contact Info

Product

Resources

About