Exact results for the Kardar-Parisi-Zhang equation with spatially correlated noise

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1999-06-01

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Springer

Abstract

We investigate the Kardar–Parisi–Zhang (KPZ) equation in d spatial dimensions with Gaussian spatially long–range correlated noise — characterized by its second moment R(x− x′) ∝ |x−x ′|2ρ−d — by means of dynamic field theory and the renormalization group. Using a stochastic Cole–Hopf transformation we derive exact exponents and scaling functions for the roughening transition and the smooth phase above the lower critical dimension dc = 2(1 + ρ). Below the lower critical dimension, there is a line ρ(d) marking the stability boundary between the short-range and long-range noise fixed points. For ρ ≥ ρ(d), the general structure of the renormalization-group equations fixes the values of the dynamic and roughness exponents exactly, whereas above ρ(d), one has to rely on some perturbational techniques. We discuss the location of this stability boundary ρ(d) in light of the exact results derived in this paper, and from results known in the literature. In particular, we conjecture that there might be two qualitatively different strong-coupling phases above and below the lower critical dimension, respectively.

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Physics, Condensed Matter, Physics, RENORMALIZATION-GROUP ANALYSIS, STOCHASTIC BURGERS-EQUATION, UPPER CRITICAL DIMENSION, LONG-RANGE INTERACTIONS, DIRECTED POLYMERS, INTERFACE GROWTH, RANDOM-MEDIA, CRITICAL EXPONENTS, SURFACE GROWTH, FIELD-THEORY

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