Global well-posedness and long time behavior of strong solutions for a fluid–particle interaction model in three dimensions

In this paper, we consider Cauchy problem for a compressible fluid-particle interaction system in three dimensions. Under some assumptions that the initial data are of a small perturbation around a nontrivial stationary profile in H2(R3) norm, we obtain the global existence and uniqueness of the solutions. Long-time behavior of the solution is also studied. More specifically, based on the analysis of Green’s matrix for the linearized system and the classification of the nonlinear terms on different decays in time, we obtain Lp-norm estimates of the solutions.

Authors

Institutions

Publication Details

Journal
Journal of Mathematical Physics
Published
2025-10-01
DOI
https://doi.org/10.1063/5.0282646
Citations
1
Primary Topic
Navier-Stokes equation solutions
Type
article
Field-Weighted Citation Impact
3.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global well-posedness and long time behavior of strong solutions for a fluid–particle interaction model in three dimensions

Jinrui Huang, Wenjun Wang
1 citations
Journal of Mathematical Physics
Navier-Stokes equation solutions
3.73
article

Global well-posedness and long time behavior of strong solutions for a fluid–particle interaction model in three dimensions

Jinrui Huang, Wenjun Wang
article en
1 citations

Abstract

In this paper, we consider Cauchy problem for a compressible fluid-particle interaction system in three dimensions. Under some assumptions that the initial data are of a small perturbation around a nontrivial stationary profile in H2(R3) norm, we obtain the global existence and uniqueness of the solutions. Long-time behavior of the solution is also studied. More specifically, based on the analysis of Green’s matrix for the linearized system and the classification of the nonlinear terms on different decays in time, we obtain Lp-norm estimates of the solutions.

Journal of Mathematical PhysicsVol. 66(10)
University of Shanghai for Science and Technology (CN), Wuyi University (CN)
Openalex Percentile: Top 7%
Navier-Stokes equation solutions
3.73
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.