Numerical Proof of Self-Similarity in Burgers' Turbulence

dc.creatorAurell, Erik
dc.creatorGurbatov, Sergey N.
dc.creatorSimdyankin, Sergey I.
dc.date1996-02-23
dc.date.accessioned2026-07-07T09:16:01Z
dc.date.available2026-07-07T09:16:01Z
dc.descriptionWe study the statistical properties of solutions to Burgers' equation, $v_t + vv_x = νv_{xx}$, for large times, when the initial velocity and its potential are stationary Gaussian processes. The initial power spectral density at small wave numbers follows a steep power-law $E_0(k) \sim |k|^n$ where the exponent $n$ is greater than two. We compare results of numerical simulations with dimensional predictions, and with asymptotic analytical theory. The theory predicts self-similarity of statistical characteristics of the turbulence, and also leads to a logarithmic correction to the law of energy decay in comparison with dimensional analysis. We confirm numerically the existence of self-similarity for the power spectral density, and the existence of a logarithmic correction to the dimensional predictions.
dc.descriptionLaTeX, 18 pages (no figures) Hardcopy with figures available from britta@pdc.kth.se, Physics of Fluids A (submitted)
dc.identifierhttps://arxiv.org/abs/patt-sol/9602005
dc.identifierhttp://arxiv.org/abs/patt-sol/9602005
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/153217
dc.subjectPattern Formation and Solitons
dc.titleNumerical Proof of Self-Similarity in Burgers' Turbulence
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