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An iterative scaling function procedure for solving scalar non-linear hyperbolic balance laws.

Authors :
Montecinos, Gino I.
Source :
Applied Numerical Mathematics. Apr2021, Vol. 162, p35-52. 18p.
Publication Year :
2021

Abstract

• A sequence of auxiliary problems is constructed from scaling the balance laws. • Source terms of the auxiliary problems are decoupled from the states. • For a class of source terms the auxiliary problems generate a convergent sequence. • Existence of a convergent sequence ensures the existence of a balance law solution. • An iterative algorithm is obtained where any conservative scheme can be used. The scaling of the exact solution of a hyperbolic balance law generates a family of scaled problems in which the source term does not depend on the current solution. These problems are used to construct a sequence of solutions whose limiting function solves the original hyperbolic problem. Thus this gives rise to an iterative procedure. Its convergence is demonstrated both theoretically and analytically. The analytical demonstration is in terms of a local in time convergence and existence theorem in the L 2 framework for the class of problems in which the source term s (q) is bounded, with s (0) = 0 , is locally Lipschitz and belongs to C 2 (R) ∩ H 1 (R). A convex flux function, which is usual for existence and uniqueness for conservation laws, is also needed. For the numerical demonstration, a set of model equations is solved, where a conservative finite volume method using a low-dissipation flux is implemented in the iteration stages. The error against reference solutions is computed and compared with the accuracy of two conventional first order schemes in order to assess the gaining in accuracy of the present procedure. Regarding the accuracy only a first order scheme is explored because the development of a useful procedure is of interest in this work, high-order accurate methods should increase the computational cost of the global procedure. Numerical tests show that the present approach is a feasible method of solution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01689274
Volume :
162
Database :
Academic Search Index
Journal :
Applied Numerical Mathematics
Publication Type :
Academic Journal
Accession number :
148202226
Full Text :
https://doi.org/10.1016/j.apnum.2020.12.009