Asymptotic Scaling of the Diffusion Coefficient of Fluctuating "Pulled" Fronts
arXiv:cond-mat/0304371 · doi:10.1103/PhysRevE.68.065202
Abstract
We present a (heuristic) theoretical derivation for the scaling of the diffusion coefficient for fluctuating ``pulled'' fronts. In agreement with earlier numerical simulations, we find that as , approaches zero as , where is the average number of particles per correlation volume in the stable phase of the front. This behaviour of stems from the shape fluctuations at the very tip of the front, and is independent of the microscopic model.
Some minor algebra corrected, to appear in Rapid Comm., Phys. Rev. E
References in corpus (11)
- Shift in the velocity of a front due to a cut-off
- Front propagation into unstable states: Universal algebraic convergence towards uniformly translating pulled fronts
- Effects of Fluctuations on Propagating Fronts
- Front Propagation: Precursors, Cutoffs and Structural Stability
- Interfacial Velocity Corrections due to Multiplicative Noise
- Largest Lyapunov Exponent for Many Particle Systems at Low Densities
- Microscopic models of traveling wave equations
- The diffusion coefficient of propagating fronts with multiplicative noise
- The Weakly Pushed Nature of "Pulled" Fronts with a Cutoff
- Fluctuating "Pulled" Fronts: the Origin and the Effects of a Finite Particle Cutoff
- Lyapunov Exponent Pairing for a Thermostatted Hard-Sphere Gas under Shear in the Thermodynamic Limit
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