Litcius/Paper detail

Stationary nonequilibrium bound state of a pair of run and tumble particles

Pierre Le Doussal, Satya N. Majumdar, Grégory Schehr

2021Physical review. E24 citationsDOIOpen Access PDF

Abstract

We study two interacting identical run-and-tumble particles (RTPs) in one dimension. Each particle is driven by a telegraphic noise and, in some cases, also subjected to a thermal white noise with a corresponding diffusion constant D. We are interested in the stationary bound state formed by the two RTPs in the presence of a mutual attractive interaction. The distribution of the relative coordinate y indeed reaches a steady state that we characterize in terms of the solution of a second-order differential equation. We obtain the explicit formula for the stationary probability P(y) of y for two examples of interaction potential V(y). The first one corresponds to V(y)∼|y|. In this case, for D=0 we find that P(y) contains a δ function part at y=0, signaling a strong clustering effect, together with a smooth exponential component. For D>0, the δ function part broadens, leading instead to weak clustering. The second example is the harmonic attraction V(y)∼y^{2} in which case, for D=0, P(y) is supported on a finite interval. We unveil an interesting relation between this two-RTP model with harmonic attraction and a three-state single-RTP model in one dimension, as well as with a four-state single-RTP model in two dimensions. We also provide a general discussion of the stationary bound state, including examples where it is not unique, e.g., when the particles cannot cross due to an additional short-range repulsion.

Topics & Concepts

Dimension (graph theory)Stationary statePhysicsInterval (graph theory)Statistical physicsFunction (biology)HarmonicExponential functionUpper and lower boundsState (computer science)Noise (video)Range (aeronautics)DiffusionMathematical analysisMathematicsCombinatoricsQuantum mechanicsBiologyEvolutionary biologyComputer scienceComposite materialImage (mathematics)AlgorithmArtificial intelligenceMaterials scienceDiffusion and Search DynamicsAdvanced Thermodynamics and Statistical MechanicsMicro and Nano Robotics