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Перемешивание в случайных динамических системах со стационарным шумом
Kuksin S.B., Shirikyan A.R.
A refinement of Heath-Brown's theorem on quadratic forms
Vladut S.G., Dymov A.V., Kuksin S.B., Maiocchi Alberto
STOCHASTIC 1D BURGERS EQUATION AS A MODEL FOR HYDRODYNAMICAL TURBULENCE
Kuksin S.
On Averaging and Mixing for Stochastic PDEs
Huang G., Kuksin S.
is mixing, then the convergence is uniform in time. © The Author(s), under exclusive licence to Springer
Weak and Strong Versions of the Kolmogorov 4/5-Law for Stochastic Burgers Equation
Gao P., Kuksin S.
universality of Kolmogorov’s theory of turbulence, and show that the third moment is the only one which admits
A refinement of Heath-Brown’s theorem on quadratic forms
Vlăduţ S.G., Dymov A.V., Kuksin S.B., Maiocchi A.
A refinement of Heath-Brown’s theorem on quadratic forms
The K41 theory and turbulence in 1D Burgers equation
Kuksin S.
to turbulence, known as the K41 theory. The presentation is based on the recent book by Boritchev and Kuksin
Averaging and mixing for stochastic perturbations of linear conservative systems
Huang Guan, Kuksin S.B.
=\varepsilon P(v(t)) dt+\sqrt{\varepsilon} \mathcal{B}(v(t)) dW (t), \qquad v\in\mathbb{R}^D, \tag{*} \end
Formal Expansions in Stochastic Model for Wave Turbulence 2: Method of Diagram Decomposition
Dymov A., Kuksin S.
, driven by a random force [the study was initiated in our previous work Dymov and Kuksin (Commun Math Phys
The Large-Period Limit for Equations of Discrete Turbulence
Dymov A., Kuksin S., Maiocchi A., Vlăduţ S.

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