TY - JOUR
T1 - A Posteriori Error Estimates for the Crank–Nicolson Method
T2 - Application to Parabolic Partial Differential Equations Subject to a Robin Boundary Condition with Small Randomness
AU - Shravani, N.
AU - Reddy, G. M.M.
AU - Vynnycky, M.
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
PY - 2025/7
Y1 - 2025/7
N2 - In this article, we obtain residual-based a posteriori error estimates for a linear parabolic partial differential equation which is subject to a Robin boundary condition that contains a small uncertainty. To this end, the perturbation technique is exploited to express the exact random solution in terms of a power series with respect to the uncertainty parameter, whence we obtain deterministic problems. Each problem is then discretized in space by continuous piecewise linear elements, and the Crank–Nicolson scheme is used for time-stepping. Reconstruction techniques are employed to obtain optimal bounds. Numerical investigations are performed that confirm the theoretical findings.
AB - In this article, we obtain residual-based a posteriori error estimates for a linear parabolic partial differential equation which is subject to a Robin boundary condition that contains a small uncertainty. To this end, the perturbation technique is exploited to express the exact random solution in terms of a power series with respect to the uncertainty parameter, whence we obtain deterministic problems. Each problem is then discretized in space by continuous piecewise linear elements, and the Crank–Nicolson scheme is used for time-stepping. Reconstruction techniques are employed to obtain optimal bounds. Numerical investigations are performed that confirm the theoretical findings.
KW - A posteriori error analysis
KW - Crank–Nicolson scheme
KW - Finite element method
KW - Parabolic PDE
KW - Perturbation technique
KW - Small random input data
UR - https://www.scopus.com/pages/publications/105005397628
U2 - 10.1007/s10915-025-02912-2
DO - 10.1007/s10915-025-02912-2
M3 - Article
AN - SCOPUS:105005397628
SN - 0885-7474
VL - 104
JO - Journal of Scientific Computing
JF - Journal of Scientific Computing
IS - 1
M1 - 7
ER -