Physical review. E · 2017 · 21 citations · 113 references
Natural SciencesPhysicsDynamical SystemsStochastic ProcessesTheoretical PhysicsDissipative SystemsPerturbation TheoryStatistical MechanicsSymmetry BreakingFluctuation TheoryFunctional Renormalization GroupInitial State FluctuationsNoise CorrelationsRenormalization GroupRenormalization Group TheoryRenormalization TheorySymmetries
We investigate the stationary-state fluctuations of a growing one-dimensional interface described by the Kardar-Parisi-Zhang (KPZ) dynamics with a noise featuring smooth spatial correlations of characteristic range ξ. We employ nonperturbative functional renormalization group methods to resolve the properties of the system at all scales. We show that the physics of the standard (uncorrelated) KPZ equation emerges on large scales independently of ξ. Moreover, the renormalization group flow is followed from the initial condition to the fixed point, that is, from the microscopic dynamics to the large-distance properties. This provides access to the small-scale features (and their dependence on the details of the noise correlations) as well as to the universal large-scale physics. In particular, we compute the kinetic energy spectrum of the stationary state as well as its nonuniversal amplitude. The latter is experimentally accessible by measurements at large scales and retains a signature of the microscopic noise correlations. Our results are compared to previous analytical and numerical results from independent approaches. They are in agreement with direct numerical simulations for the kinetic energy spectrum as well as with the prediction, obtained with the replica trick by Gaussian variational method, of a crossover in ξ of the nonuniversal amplitude of this spectrum.
113
Dynamic Scaling of Growing Interfaces
Mehran Kardar, Giorgio Parisi, Yi-Cheng Zhang · Physical Review Letters · 1986 · 5.4K citations
Exact evolution equation for the effective potential
Physics Letters B · 1993 · 2.2K citations · Full text
Natural Sciences, Evolutionary Biology, Differential Equations +3