paper

Viscous Instanton for Burgers' Turbulence

arXiv:chao-dyn/9603015 · doi:10.1103/PhysRevLett.78.1452

Abstract

We consider the tails of probability density functions (PDF) for different characteristics of velocity that satisfies Burgers equation driven by a large-scale force. The saddle-point approximation is employed in the path integral so that the calculation of the PDF tails boils down to finding the special field-force configuration (instanton) that realizes the extremum of probability. We calculate high moments of the velocity gradient and find out that they correspond to the PDF with where is the Reynolds number. That stretched exponential form is valid for negative with the modulus much larger than its root-mean-square (rms) value. The respective tail of PDF for negative velocity differences is steeper than Gaussian, , as well as single-point velocity PDF . For high velocity derivatives , the general formula is found: .

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