
doi: 10.4208/jpde.v5.n4.8
A time dependent bidimensional Stefan problem with a nonlinear convection governed by a Navier-Stokes equation in the fluid phase is considered. The main result in the paper is the existence of a weak solution for this problem. To prove this, the author introduces an approximating problem with a penalty term acting on the fluid region. Some useful a priori estimates and the equicontinuity of the approximating solutions can also be established as in the case of the problem with a convection governed by a linear Stokes equation. A weak solution is thus obtained as a limit of the approximating solutions by various compactness arguments. The dimension \(N=2\) is essential in the proof of the equicontinuity.
penalty method, nonlinear convection, a priori estimates, equicontinuity, Free boundary problems for PDEs, Existence of generalized solutions of PDE, Navier-Stokes equations, Applications of functional analysis to differential and integral equations, Navier-Stokes equation
penalty method, nonlinear convection, a priori estimates, equicontinuity, Free boundary problems for PDEs, Existence of generalized solutions of PDE, Navier-Stokes equations, Applications of functional analysis to differential and integral equations, Navier-Stokes equation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
