Improved finite-difference and pseudospectral schemes for the Kardar-Parisi-Zhang equation with long-range temporal correlations
Xiongpeng Hu, Dapeng Hao, Hui Xia

TL;DR
This study uses pseudospectral and improved finite-difference schemes to simulate the KPZ equation with long-range temporal correlations, revealing how such correlations influence scaling properties and universality classes in kinetic roughening.
Contribution
It introduces and compares two numerical schemes for simulating the KPZ equation with correlated noise, demonstrating their effectiveness and impact on understanding universality classes.
Findings
Scaling properties are affected by long-range temporal correlations.
The two schemes produce consistent results across regimes.
Long-range correlations can change the universality class.
Abstract
To investigate universal behavior and effects of long-range temporal correlations in kinetic roughening, we perform extensive simulations on the Kardar-Parisi-Zhang (KPZ) equation with temporally correlated noise based on pseudospectral (PS) and one of the improved finite-difference (FD) schemes. We find that scaling properties are affected by long-range temporal correlations within the effective temporally correlated regions. Our results are consistent with each other using these two independent numerical schemes, three characteristic roughness exponents (global roughness exponent , local roughness exponent , and spectral roughness exponent ) are approximately equal within the small temporally correlated regime, and satisfy for the large temporally correlated regime, and the difference between and…
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Taxonomy
TopicsTheoretical and Computational Physics · Fluid Dynamics and Turbulent Flows · Complex Systems and Time Series Analysis
