Data Mining Approach to Understand Tensor Properties in Turbulent Cascade

Lei Fang
Traditionally, turbulence study starts from unproven but plausible hypotheses (e.g. Kolmogorov's similarity hypotheses) and then proceeding in a systematic fashion to reach theory (e.g. K41). The results are then tested against the experimental data for correctness and completeness. While this hypothetical-deductive-like-method received many successes in history, it has its detrimental limitation: starting from a plausible hypothesis precludes any other possibilities. Since the turbulent data is the final test for turbulent theories, why not start by...
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