English

Non-Hermitian Localization and Population Biology

Disordered Systems and Neural Networks 2009-10-30 v3 Statistical Mechanics q-bio

Abstract

The time evolution of spatial fluctuations in inhomogeneous d-dimensional biological systems is analyzed. A single species continuous growth model, in which the population disperses via diffusion and convection is considered. Time-independent environmental heterogeneities, such as a random distribution of nutrients or sunlight are modeled by quenched disorder in the growth rate. Linearization of this model of population dynamics shows that the fastest growing localized state dominates in a time proportional to a power of the logarithm of the system size. Using an analogy with a Schrodinger equation subject to a constant imaginary vector potential, we propose a delocalization transition for the steady state of the nonlinear problem at a critical convection threshold separating localized and extended states. In the limit of high convection velocity, the linearized growth problem in dd dimensions exhibits singular scaling behavior described by a (d-1)-dimensional generalization of the noisy Burgers' equation, with universal singularities in the density of states associated with disorder averaged eigenvalues near the band edge in the complex plane. The Burgers mapping leads to unusual transverse spreading of convecting delocalized populations.

Keywords

Cite

@article{arxiv.cond-mat/9708071,
  title  = {Non-Hermitian Localization and Population Biology},
  author = {David R. Nelson and Nadav M. Shnerb},
  journal= {arXiv preprint arXiv:cond-mat/9708071},
  year   = {2009}
}

Comments

22 pages, 11 figures

R2 v1 2026-07-22T11:59:05.730Z