Cost of diffusion: nonlinearity and giant fluctuations

TL;DR

This paper introduces a nonlinear diffusive jump model with a fee structure similar to taxi meters, revealing giant fluctuations and a freezing transition in cost distribution, with implications for elastic systems near depinning.

Contribution

It presents a novel nonlinear jump process model with a unique cost structure, analyzing its complex behavior and phase transitions, supported by analytical and numerical methods.

Findings

Giant fluctuations in cost at a critical scaled distance

A freezing transition in the large-deviation cost distribution

Analytical results confirmed by numerical simulations

Abstract

We introduce a simple model of diffusive jump process where a fee is charged for each jump. The nonlinear cost function is such that slow jumps incur a flat fee, while for fast jumps the cost is proportional to the velocity of the jump. The model -- inspired by the way taxi meters work -- exhibits a very rich behavior. The cost for trajectories of equal length and equal duration exhibits giant fluctuations at a critical value of the scaled distance travelled. Furthermore, the full distribution of the cost until the target is reached exhibits an interesting ``freezing'' transition in the large-deviation regime. All the analytical results are corroborated by numerical simulations. Our results also apply to elastic systems near the depinning transition, when driven by a random force.