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arxiv: 1802.02106 · v1 · pith:G7W35EZAnew · submitted 2018-02-06 · ❄️ cond-mat.dis-nn · cond-mat.stat-mech

High-precision simulation of the height distribution for the KPZ equation

classification ❄️ cond-mat.dis-nn cond-mat.stat-mech
keywords distributiontailanalyticalequationheightlargeleftprobability
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The one-point distribution of the height for the continuum Kardar-Parisi-Zhang (KPZ) equation is determined numerically using the mapping to the directed polymer in a random potential at high temperature. Using an importance sampling approach, the distribution is obtained over a large range of values, down to a probability density as small as 10^{-1000} in the tails. Both short and long times are investigated and compared with recent analytical predictions for the large-deviation forms of the probability of rare fluctuations. At short times the agreement with the analytical expression is spectacular. We observe that the far left and right tails, with exponents 5/2 and 3/2 respectively, are preserved until large time. We present some evidence for the predicted non-trivial crossover in the left tail from the 5/2 tail exponent to the cubic tail of Tracy-Widom, although the details of the full scaling form remains beyond reach.

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