TY - JOUR
T1 - APPROXIMATE SOLUTIONS TO SECOND-ORDER PARABOLIC EQUATIONS
T2 - EVOLUTION SYSTEMS AND DISCRETIZATION
AU - Cheng, Wen
AU - Mazzucato, Anna L.
AU - Nistor, Victor
N1 - Publisher Copyright:
© 2022 American Institute of Mathematical Sciences. All rights reserved.
PY - 2022/12
Y1 - 2022/12
N2 - We study the discretization of a linear evolution partial differential equation when its Green’s function is known or well approximated. We provide error estimates both for the spatial approximation and for the time stepping approximation. We show that, in fact, an approximation of the Green function is almost as good as the Green function itself. For suitable time-dependent parabolic equations, we explain how to obtain good, explicit approximations of the Green function using the Dyson-Taylor commutator method that we developed in J. Math. Phys. 51 (2010), n. 10, 103502 (reference [15]). This approximation for short time, when combined with a bootstrap argument, gives an approximate solution on any fixed time interval within any prescribed tolerance.
AB - We study the discretization of a linear evolution partial differential equation when its Green’s function is known or well approximated. We provide error estimates both for the spatial approximation and for the time stepping approximation. We show that, in fact, an approximation of the Green function is almost as good as the Green function itself. For suitable time-dependent parabolic equations, we explain how to obtain good, explicit approximations of the Green function using the Dyson-Taylor commutator method that we developed in J. Math. Phys. 51 (2010), n. 10, 103502 (reference [15]). This approximation for short time, when combined with a bootstrap argument, gives an approximate solution on any fixed time interval within any prescribed tolerance.
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U2 - 10.3934/dcdss.2022158
DO - 10.3934/dcdss.2022158
M3 - Article
AN - SCOPUS:85143988353
SN - 1937-1632
VL - 15
SP - 3571
EP - 3602
JO - Discrete and Continuous Dynamical Systems - Series S
JF - Discrete and Continuous Dynamical Systems - Series S
IS - 12
ER -