Large fluctuations of a Kardar-Parisi-Zhang interface on a half-line
arXiv:1807.11048 · doi:10.1103/PhysRevE.98.032145
Abstract
Consider a stochastic interface , described by the Kardar-Parisi-Zhang (KPZ) equation on the half-line . The interface is initially flat, , and driven by a Neumann boundary condition and by the noise. We study the short-time probability distribution of the one-point height . Using the optimal fluctuation method, we show that scales as . For small and moderate this more general scaling reduces to the familiar simple scaling , where is independent of and time and equal to one half of the corresponding large-deviation function for the full-line problem. For large we uncover two asymptotic regimes. At very short time the simple scaling is restored, whereas at intermediate times the scaling remains more general and -dependent. The distribution tails, however, always exhibit the simple scaling in the leading order.
9 pages, 10 figures
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- Optimal paths of non-equilibrium stochastic fields: the Kardar-Parisi-Zhang interface as a test case
- Short time large deviations of the KPZ equation
- Probing the large deviations of the Kardar-Parisi-Zhang equation at short time with an importance sampling of directed polymers in random media
- Observing symmetry-broken optimal paths of stationary Kardar-Parisi-Zhang interface via a large-deviation sampling of directed polymers in random media
- Large fluctuations of a Kardar-Parisi-Zhang interface on a half-line: the height statistics at a shifted point
- Time-averaged height distribution of the Kardar-Parisi-Zhang interface
- Lyapunov exponents of the SHE for general initial data
- Lyapunov exponents of the half-line SHE
- Integrability in the weak noise theory
- Short-time large deviations of the spatially averaged height of a KPZ interface on a ring
- Large deviations for the KPZ equation from the KP equation
- Exact short-time height distribution and dynamical phase transition in the relaxation of a Kardar-Parisi-Zhang interface with random initial condition
- Large deviations of the interface height in the Golubović-Bruinsma model of stochastic growth
- High moments of the SHE in the clustering regimes