title: Stochastic transport in the presence of spatial disorder: Fluctuation-induced corrections to homogenization.
abstract: Motivated by uncertainty quantification in natural transport systems, we investigate an individual-based transport process involving particles undergoing a random walk along a line of point sinks whose strengths are themselves independent random variables. We assume particles are removed from the system via first-order kinetics. We analyze the system using a hierarchy of approaches when the sinks are sparsely distributed, including a stochastic homogenization approximation that yields explicit predictions for the extrinsic disorder in the stationary state due to sink strength fluctuations. The extrinsic noise induces long-range spatial correlations in the particle concentration, unlike fluctuations due to the intrinsic noise alone. Additionally, the mean concentration profile, averaged over both intrinsic and extrinsic noise, is elevated compared with the corresponding profile from a uniform sink distribution, showing that the classical homogenization approximation can be a biased estimator of the true mean.
authors.affiliation: School of Mathematics, The University of Manchester, Manchester M13 9PL, United Kingdom.
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Russell
authors.affiliation: School of Mathematics, The University of Manchester, Manchester M13 9PL, United Kingdom.
authors.forename: Oliver E
authors.initials: OE
authors.lastname: Jensen
authors.affiliation: School of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, United Kingdom.
authors.forename: Tobias
authors.initials: T
authors.lastname: Galla