Non-Hermitian Localization and Population Biology
David R. Nelson, Nadav M. Shnerb
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 d 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.
Create a lesson
Related papers
Coupling spherical p-spin systems
Riccardo Cipolloni, Leticia F. Cugliandolo
Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory
Yuto Sakurai, Takeaki Shimokawa, Kazunori Iwata et al.
Latent kinetic Ising models of neural spike trains
Davide Ghio, David Saad
Nonlocal Magic across the Many-Body Localization Crossover
Shan-Zhong Li, Zhi Li
Statistical levels and spatial modes of Fock-space heterogeneity in many-body localization crossovers
Yu-Jing Liu, Chen Cheng
Disorder-Tailored Delocalization
Yeongjun Kim, Supriyo Ghosh, Sergej Flach