TY - JOUR
T1 - Pointwise rates of convergence for the Oliker–Prussner method for the Monge–Ampère equation
AU - Nochetto, Ricardo H.
AU - Zhang, Wujun
N1 - Funding Information:
Both authors were partially supported by NSF Grants DMS-1109325 and DMS-1411808. The second author was also partially supported by the Brin Postdoctoral Fellowship of the University of Maryland and the start up fund of Rutgers University.
Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/1/10
Y1 - 2019/1/10
N2 - We study the Oliker–Prussner method exploiting its geometric nature. We derive discrete stability and continuous dependence estimates in the max-norm by using a discrete Alexandroff estimate and the Brunn–Minkowski inequality. We show that the method is exact for all convex quadratic polynomials provided the underlying set of nodes is translation invariant within the domain; nodes still conform to the domain boundary. This gives a suitable notion of operator consistency which, combined with stability, leads to pointwise rates of convergence for classical and non-classical solutions of the Monge–Ampère equation.
AB - We study the Oliker–Prussner method exploiting its geometric nature. We derive discrete stability and continuous dependence estimates in the max-norm by using a discrete Alexandroff estimate and the Brunn–Minkowski inequality. We show that the method is exact for all convex quadratic polynomials provided the underlying set of nodes is translation invariant within the domain; nodes still conform to the domain boundary. This gives a suitable notion of operator consistency which, combined with stability, leads to pointwise rates of convergence for classical and non-classical solutions of the Monge–Ampère equation.
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U2 - 10.1007/s00211-018-0988-9
DO - 10.1007/s00211-018-0988-9
M3 - Article
AN - SCOPUS:85050342705
SN - 0029-599X
VL - 141
SP - 253
EP - 288
JO - Numerische Mathematik
JF - Numerische Mathematik
IS - 1
ER -