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   Construction of Approximate Entropy Measure-Valued Solutions for Hyperbolic Systems of Conservation Laws  
   
نویسنده Fjordholm Ulrik S. ,Käppeli Roger ,Mishra Siddhartha ,Tadmor Eitan
منبع foundations of computational mathematics - 2017 - دوره : 17 - شماره : 3 - صفحه:763 -827
چکیده    Entropy solutions have been widely accepted as the suitable solution framework for systems of conservation laws in several space dimensions. however, recent results in de lellis and székelyhidi jr (ann math 170(3):1417–1436, 2009) and chiodaroli et al. (2013) have demonstrated that entropy solutions not be unique. in this paper, we present numerical evidence that state-of-the-art numerical schemes need not converge to an entropy solution of systems of conservation laws as the mesh is refined. combining these two facts, we argue that entropy solutions not be suitable as a solution framework for systems of conservation laws, particularly in several space dimensions. we advocate entropy measure-valued solutions, first proposed by diperna, as the appropriate solution paradigm for systems of conservation laws. to this end, we present a detailed numerical procedure which constructs stable approximations to entropy measure-valued solutions, and provide sufficient conditions that guarantee that these approximations converge to an entropy measure-valued solution as the mesh is refined, thus providing a viable numerical framework for systems of conservation laws in several space dimensions. a large number of numerical experiments that illustrate the proposed paradigm are presented and are utilized to examine several interesting properties of the computed entropy measure-valued solutions.
کلیدواژه Hyperbolic conservation laws ,Uniqueness ,Stability ,Entropy condition ,Measure-valued solutions ,Atomic initial data ,Random field ,Weak BV estimate ,Weak* convergence ,65M06 ,35L65 ,35R06
آدرس Norwegian University of Science and Technology, Department of Mathematical Sciences, Norway, Seminar for Applied Mathematics, ETH Zürich, Switzerland, Seminar for Applied Mathematics, ETH Zürich, Switzerland, University of Maryland, Department of Mathematics, USA
 
     
   
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