Error estimates of BDF2 H 1 -Galerkin MFE for parabolic optimal control problems

This paper presents a fully discrete H1-Galerkin mixed finite element approximation for parabolic optimal control problems. For the state and costate variables, the BDF2 scheme and H1-Galerkin mixed finite element method are employed for temporal and spatial discretization, respectively. Since the H1-Galerkin mixed finite element is free from the LBB consistency condition, the unknown scalar and vector functions are therefore approximated by Lagrange elements and Raviart-Thomas mixed elements, respectively. The control is handled via variational discretization. The convergence results of all variables are rigorously derived. Theoretical findings are confirmed by means of some numerical examples.

Authors

Institutions

Publication Details

Journal
Applicable Analysis
Published
2026-08-27
DOI
https://doi.org/10.1080/00036811.2026.2721599
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Error estimates of BDF2 H 1 -Galerkin MFE for parabolic optimal control problems

Yuelong Tang, Shujiang Tang, Yuchun Hua
Applicable Analysis
Advanced Numerical Methods in Computational Mathematics
article

Error estimates of BDF2 H 1 -Galerkin MFE for parabolic optimal control problems

Yuelong Tang, Shujiang Tang, Yuchun Hua
article en

Abstract

This paper presents a fully discrete H1-Galerkin mixed finite element approximation for parabolic optimal control problems. For the state and costate variables, the BDF2 scheme and H1-Galerkin mixed finite element method are employed for temporal and spatial discretization, respectively. Since the H1-Galerkin mixed finite element is free from the LBB consistency condition, the unknown scalar and vector functions are therefore approximated by Lagrange elements and Raviart-Thomas mixed elements, respectively. The control is handled via variational discretization. The convergence results of all variables are rigorously derived. Theoretical findings are confirmed by means of some numerical examples.

Applicable Analysis
Hunan Institute of Science and Technology (CN), Hunan University of Science and Engineering (CN), Hunan Institute of Engineering (CN)
Natural Science Foundation of Hunan Province, Scientific Research Foundation of Hunan Provincial Education Department
Openalex Percentile: Top 13%
Advanced Numerical Methods in Computational Mathematics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.