Abstract
The multiple-point probability density f(v 1, r 1; v 2, r 2; ...v N , r N ) of velocity increments v i at different length scales r i is investigated in a direct numerical simulation of two-dimensional turbulence. It has been shown for experimental data of three-dimensional turbulence, that this probability density can be represented by conditional probability densities in form of a Markov chain [1]. We have extended this analysis to the case of two-dimensional forced turbulence in the inverse cascade regime.KeywordsDirect Numerical SimulationMarkov PropertyInertial RangeVelocity IncrementConditional Probability DensityThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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