1982
DOI: 10.1007/bf01460125
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A generalized Stefan problem in several space variables

Abstract: Abstract.A multidimensional, multiphase problem of Stefan type, involving quasilinear parabolic equations and nonlinear boundary conditions is considered. Regularization techniques and monotonicity methods are exploited. Existence and uniqueness of a weak solution to the problem, as well as continuous and monotone dependence of the solution upon data are shown.

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Cited by 53 publications
(48 citation statements)
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“…The authors show the existence of a solution and provide numerical experiments. Niezgódka and Pawlow [21] discuss results on weak solutions of multidimensional Stefan problems in enthalpy formulation. In the companion paper [20], they use these results to show existence of optimal controls.…”
Section: Introductionmentioning
confidence: 99%
“…The authors show the existence of a solution and provide numerical experiments. Niezgódka and Pawlow [21] discuss results on weak solutions of multidimensional Stefan problems in enthalpy formulation. In the companion paper [20], they use these results to show existence of optimal controls.…”
Section: Introductionmentioning
confidence: 99%
“…Hère iï is the Heaviside graph and c is a strictly increasing Lipschitz continuous function. It is well-known that there is a unique solution u (physically, the température) ; moreover it has the global regularity properties [11,17,18,19,23,31] : assume u 0 := J~1(y o ) e C oa (Q) and ƒ e C 04 (R), then (4 * 2) we C°(ë) n L°°(0, T\H\Q)) n H^O, T; L 2 (Q)).…”
Section: The Two-phase Stefan Problemmentioning
confidence: 99%
“…By using the dual problem instead of the original problem we prove uniqueness. This method can be found in Chapter 3 of the monograph [7], and was improved and applied to multi-dimensional Stefan problems with non-linear boundary conditions by NiezgoH dka and Pawlow [8]. Also, the author established the uniqueness for a multi-dimensional Stefan problem with the boundary condition described by maximal monotone operators in [1].…”
Section: Introductionmentioning
confidence: 96%