Fluctuation-dissipation relation in branching particle systems
Abstract
A fluctuation-dissipation relation (FDR) for branching particle systems is derived that reveals how fluctuations in clonal populations originating from a single ancestor encode both population growth and the dissipative structure of the single-particle dynamics. For particles whose internal states evolve according to a stationary Markov process, the FDR holds in both equilibrium and nonequilibrium stationary states. It yields an upper bound on the spectral gap that is constrained by the magnitud...
Description / Details
A fluctuation-dissipation relation (FDR) for branching particle systems is derived that reveals how fluctuations in clonal populations originating from a single ancestor encode both population growth and the dissipative structure of the single-particle dynamics. For particles whose internal states evolve according to a stationary Markov process, the FDR holds in both equilibrium and nonequilibrium stationary states. It yields an upper bound on the spectral gap that is constrained by the magnitude of clonal fluctuations and implies that clonal dynamics is asymptotically dominated by the slowest modes of the single-particle dynamics. This provides a theoretical explanation for the persistence of clonal memory and for experimentally observed clonal cofluctuations between variables with zero covariance in the single-particle stationary state. In nonequilibrium stationary states, the FDR predicts oscillatory clonal fluctuations, suggesting a route to measuring nonequilibrium fluxes in proliferating cell populations without single-cell tracking.
Source: arXiv:2610.39624v1 - http://arxiv.org/abs/2610.39624v1 PDF: https://arxiv.org/pdf/2610.39624v1 Original Link: http://arxiv.org/abs/2610.39624v1
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Oct 30, 2026
Biology
Biology
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