Mathematical analysis of a norm-conservative numerical scheme for the Ostrovsky equation

Abstract The target of this study is a norm-conservative scheme for the Ostrovsky equation, as its mathematical analysis has not been addressed. First, the existence and uniqueness of its numerical solutions are demonstrated. Subsequently, a convergence estimate in the two-norm is established. This, in turn, implies a convergence in the first-order Sobolev space using a supplementary sup-norm boundedness argument. Finally, this conservative scheme can be implemented in a differential form, which is considerably better than the integral form in terms of computational cost-effectiveness.

Authors

Institutions

Publication Details

Journal
Japan Journal of Industrial and Applied Mathematics
Published
2024-09-02
DOI
https://doi.org/10.1007/s13160-024-00669-z
Citations
1
Primary Topic
Advanced Mathematical Physics Problems
Type
article
Field-Weighted Citation Impact
0.89

Funders

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

Mathematical analysis of a norm-conservative numerical scheme for the Ostrovsky equation

Shun Sato, S. Kawai, Takayasu Matsuo
1 citations
Japan Journal of Industrial and Applied Mathematics
Advanced Mathematical Physics Problems
0.89
article

Mathematical analysis of a norm-conservative numerical scheme for the Ostrovsky equation

Shun Sato, S. Kawai, Takayasu Matsuo
article en
1 citations

Abstract

Abstract The target of this study is a norm-conservative scheme for the Ostrovsky equation, as its mathematical analysis has not been addressed. First, the existence and uniqueness of its numerical solutions are demonstrated. Subsequently, a convergence estimate in the two-norm is established. This, in turn, implies a convergence in the first-order Sobolev space using a supplementary sup-norm boundedness argument. Finally, this conservative scheme can be implemented in a differential form, which is considerably better than the integral form in terms of computational cost-effectiveness.

Japan Journal of Industrial and Applied MathematicsVol. 42(1)
The University of Tokyo (JP)
University of Tokyo
Openalex Percentile: Top 30%
Advanced Mathematical Physics Problems
0.89
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.