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This article is cited in 1 scientific paper (total in 1 paper)
Evolution of a multiscale singularity of the solution of the Burgers equation in the 4-dimensional space-time
Sergey V. Zakharov N.N. Krasovskii Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg
Abstract:
The solution of the Cauchy problem for the vector Burgers equation with a small parameter of dissipation $\varepsilon$
in the $4$-dimensional space-time is studied:
$$
\mathbf{u}_t + (\mathbf{u}\nabla) \mathbf{u} =
\varepsilon \triangle \mathbf{u}, \quad u_{\nu} (\mathbf{x}, -1, \varepsilon) = - x_{\nu} + 4^{-\nu}(\nu + 1) x_{\nu}^{2\nu + 1},
$$
With the help of the Cole–Hopf transform $\mathbf{u} = - 2 \varepsilon \nabla \ln H$,
the exact solution and its leading asymptotic approximation, depending on six space-time scales, near a singular point are found.
A formula for the growth of partial derivatives of the components of the vector field $\mathbf{u}$ on the time interval from the initial moment to the singular point, called the formula of the gradient catastrophe, is established:
$$ \frac{\partial u_{\nu} (0, t, \varepsilon)}{\partial x_{\nu}}
= \frac{1}{t} \left[ 1 + O \left( \varepsilon |t|^{- 1 - 1/\nu} \right) \right]\!,
\quad \frac{t}{\varepsilon^{\nu /(\nu + 1)} } \to -\infty, \quad t \to -0. $$
The asymptotics of the solution far from the singular point, involving a multistep reconstruction of the space-time scales,
is also obtained:
$$ u_{\nu} (\mathbf{x}, t, \varepsilon) \approx - 2 \left( \frac{t}{\nu + 1} \right)^{1/2\nu} \tanh \left[ \frac{x_{\nu}}{\varepsilon}
\left( \frac{t}{\nu + 1} \right)^{1/2\nu} \right]\!, \quad \frac{t}{\varepsilon^{\nu /(\nu + 1)} } \to +\infty.
$$
Keywords:
vector Burgers equation, cauchy problem, Cole-Hopf transform, singular point, Laplace's method, multiscale asymptotics.
Citation:
Sergey V. Zakharov, “Evolution of a multiscale singularity of the solution of the Burgers equation in the 4-dimensional space-time”, Ural Math. J., 8:1 (2022), 136–144
Linking options:
https://www.mathnet.ru/eng/umj167 https://www.mathnet.ru/eng/umj/v8/i1/p136
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