Finite-size effects in the short-time height distribution of the Kardar-Parisi-Zhang equation

Abstract

We use the optimal fluctuation method to evaluate the short-time probability distribution P(H,L,t) of height at a single point, H=h(x=0,t), of the evolving Kardar-Parisi-Zhang (KPZ) interface h(x,t) on a ring of length 2L. The process starts from a flat interface. At short times typical (small) height fluctuations are unaffected by the KPZ nonlinearity and belong to the Edwards-Wilkinson universality class. The nonlinearity, however, strongly affects the (asymmetric) tails of P(H). At large L/t the faster-decaying tail has a double structure: it is L-independent, -|H|5/2/t1/2, at intermediately large |H|, and L-dependent, - |H|2L/t, at very large |H|. The transition between these two regimes is sharp and, in the large L/t limit, behaves as a fractional-order phase transition. The transition point H=Hc+ depends on L/t. At small L/t, the double structure of the faster tail disappears, and only the very large-H tail, - |H|2L/t, is observed. The slower-decaying tail does not show any L-dependence at large L/t, where it coincides with the slower tail of the GOE Tracy-Widom distribution. At small L/t this tail also has a double structure. The transition between the two regimes occurs at a value of height H=Hc- which depends on L/t. At L/t 0 the transition behaves as a mean-field-like second-order phase transition. At |H|<|Hc-| the slower tail behaves as - |H|2L/t, whereas at |H|>|Hc-| it coincides with the slower tail of the GOE Tracy-Widom distribution.

0

Turn this paper into a lesson

ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…