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Local a posteriori error estimates for time-dependent Hamilton-Jacobi equations
Authors:
Bernardo Cockburn, Ivan Merev and Jianliang Qian
Journal:
Math. Comp. 82 (2013), 187-212
MSC (2010):
Primary 65M15, 65M12; Secondary 49L25
Posted:
June 5, 2012
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Abstract: In this paper, we obtain the first local a posteriori error estimate for time-dependent Hamilton-Jacobi equations. Given an arbitrary domain and a time , the estimate gives an upper bound for the -norm in at time of the difference between the viscosity solution and any continuous function in terms of the initial error in the domain of dependence and in terms of the (shifted) residual of in the union of all the cones of dependence with vertices in . The estimate holds for general Hamiltonians and any space dimension. It is thus an ideal tool for devising adaptive algorithms with rigorous error control for time-dependent Hamilton-Jacobi equations. This result is an extension to the global a posteriori error estimate obtained by S. Albert, B. Cockburn, D. French, and T. Peterson in A posteriori error estimates for general numerical methods for Hamilton-Jacobi equations. Part II: The time-dependent case, Finite Volumes for Complex Applications, vol. III, June 2002, pp. 17-24. Numerical experiments investigating the sharpness of the a posteriori error estimates are given.
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Additional Information
Bernardo Cockburn
Affiliation:
School of Mathematics, University of Minnesota, 206 Church Street S.E., Minneapolis, Minnesota 55455
Email:
cockburn@math.umn.edu
Ivan Merev
Affiliation:
School of Mathematics, University of Minnesota, 206 Church Street S.E., Minneapolis, Minnesota 55455
Email:
merev001@math.umn.edu
Jianliang Qian
Affiliation:
Department of Mathematics, Michigan State University, East Lansing, Michigan 48824
Email:
qian@math.msu.edu
DOI:
http://dx.doi.org/10.1090/S0025-5718-2012-02610-X
PII:
S 0025-5718(2012)02610-X
Keywords:
A posteriori error estimates,
Hamilton-Jacobi equations
Received by editor(s):
May 7, 2010
Received by editor(s) in revised form:
May 27, 2011
Posted:
June 5, 2012
Additional Notes:
The first author was partially supported by the National Science Foundation (Grant DMS-0712955) and by the Minnesota Supercomputing Institute.
The third author was partially supported by the National Science Foundation (NSF 0810104 and NSF 0830161).
Article copyright:
© Copyright 2012 American Mathematical Society
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