Limits to positional information in boundary-driven systems

Chemical gradients can be used by a particle to determine its position. This positional information is of crucial importance, for example, in developmental biology in the formation of patterns in an embryo. The central goal of this paper is to study the fundamental physical limits on how much positional information can be stored inside a system. To achieve this, we study positional information for boundary-driven systems, and derive, in the near-equilibrium regime, a universal expression involving only the chemical potential and density gradients of the system. We also conjecture that this expression serves as an upper bound on the positional information of boundary-driven systems beyond linear response. To support this claim, we test it on a broad range of solvable boundary-driven systems.

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Publication Details

Journal
Physical review. E
Published
2025-02-20
DOI
https://doi.org/10.1103/physreve.111.l022102
Citations
1
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
1.32

Funders

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article

Limits to positional information in boundary-driven systems

Prashant Singh, Karel Proesmans
1 citations
Physical review. E
Advanced Thermodynamics and Statistical Mechanics
1.32
article

Limits to positional information in boundary-driven systems

Prashant Singh, Karel Proesmans
article en
1 citations

Abstract

Chemical gradients can be used by a particle to determine its position. This positional information is of crucial importance, for example, in developmental biology in the formation of patterns in an embryo. The central goal of this paper is to study the fundamental physical limits on how much positional information can be stored inside a system. To achieve this, we study positional information for boundary-driven systems, and derive, in the near-equilibrium regime, a universal expression involving only the chemical potential and density gradients of the system. We also conjecture that this expression serves as an upper bound on the positional information of boundary-driven systems beyond linear response. To support this claim, we test it on a broad range of solvable boundary-driven systems.

Physical review. EVol. 111(2)
University of Copenhagen (DK)
European Commission, Novo Nordisk, Novo Nordisk Fonden, Horizon 2020
Climate action
Openalex Percentile: Top 22%
Advanced Thermodynamics and Statistical Mechanics
1.32
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