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Traveling fronts of viscous Burgers’ equations with the nonlinear degenerate viscosity

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Abstract

In this paper, we continue the study of viscous Burgers’ equations by Il’in and Oleinik for single model equation with convex nonlinearity [6] by introducing the nonlinear degenerate viscosity. Since the degeneracy of this paper is considered, then there are two conditions for estimate of the traveling fronts U when \(m\ge 1\) and \(0<m<1\). The following higher-order estimate of traveling fronts U is introduced to overcome the energy estimate

$$ \begin{gathered} U^{{m - 2}} = \left( {\frac{1}{U}} \right)^{{2 - m}} \le Ku_{ + } \le Cu_{ + } ,\;{\text{if}}\;0 < m < 2, \hfill \\ U^{{m - 2}} \le Lu_{ - } \le Cu_{ - } ,\;{\text{if}}\;m \ge 2 \hfill \\ \end{gathered} $$

where \(C=max\left\{ K,L \right\} =max\left\{ \frac{b}{m-b}, (m+b)^m \right\} \) for \(b>0\) and \(m>b\). Moreover, the following Taylor expansion is employed

$$ f(U + \pi _{z} ) - f^{'} (U)\pi _{z} - f(U){\text{ }} = \int_{0}^{1} {\left( {(1 - s)f^{} (U + s\pi _{z} )ds} \right)} \pi _{z}^{2} = \rm{\mathcal{O}}(1)\pi _{z}^{2} $$

to overcome the estimate of term \(F_1\), where this term is transformation result of nonlinearity for first order derivative in (1). The stability of traveling fronts U is presented to give the information how close the distance between the solution u of (1) and the traveling fronts U is under the small perturbations. This stability result is based on the energy estimates under the condition \(N(t)\le Dm(u_++u_-)\). To validate our works and to illustrate the effect of nonlinear degenerate viscosity, the numerical simulations are provided by using the standard finite difference for discretization steps.

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Acknowledgements

The authors would like to thank the reviewers for their valuable comments and suggestions which helped to improve the paper. There are no funders to report for this submission.

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Correspondence to Mohammad Ghani.

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Ghani, M., Nurwidiyanto Traveling fronts of viscous Burgers’ equations with the nonlinear degenerate viscosity. Math Sci (2023). https://doi.org/10.1007/s40096-023-00519-y

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