Alignment of Rods and Partition of Integers
arXiv:cond-mat/0512192 · doi:10.1103/PhysRevE.73.031109
Abstract
We study dynamical ordering of rods. In this process, rod alignment via pairwise interactions competes with diffusive wiggling. Under strong diffusion, the system is disordered, but at weak diffusion, the system is ordered. We present an exact steady-state solution for the nonlinear and nonlocal kinetic theory of this process. We find the Fourier transform as a function of the order parameter, and show that Fourier modes decay exponentially with the wave number. We also obtain the order parameter in terms of the diffusion constant. This solution is obtained using iterated partitions of the integer numbers.
6 pages, 4 figures
References in corpus (10)
- Scaling Theory and Exactly Solved Models In the Kinetics of Irreversible Aggregation
- Organization and instabilities of entangled active polar filaments
- Bifurcations and Patterns in Compromise Processes
- Pattern formation of microtubules and motors: inelastic interaction of polar rods
- Vortices in vibrated granular rods
- Self-organized Pattern Formation in Motor-Microtubule Mixtures
- Scaling, Multiscaling, and Nontrivial Exponents in Inelastic Collision Processes
- Model of coarsening and vortex formation in vibrated granular rods
- Exact steady state solution of the Boltzmann equation: A driven 1-D inelastic Maxwell gas
- Exponential velocity tails in a driven inelastic Maxwell model
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