Finite time blow-up in a 1D model of the incompressible porous media equation

Abstract We derive a PDE that models the behavior of a boundary layer solution to the incompressible porous media (IPM) equation posed on the 2D periodic half-plane. This 1D IPM model is a transport equation with a non-local velocity similar to the well-known Córdoba–Córdoba–Fontelos (CCF) equation. We discuss how this modification of the CCF equation can be regarded as a reasonable model for solutions to the IPM equation. Working in the class of bounded smooth periodic data, we then show local well-posedness for the 1D IPM model as well as finite time blow-up for a class of initial data.

Authors

Institutions

Publication Details

Journal
Nonlinearity
Published
2025-04-29
DOI
https://doi.org/10.1088/1361-6544/adcdb8
Citations
2
Primary Topic
Navier-Stokes equation solutions
Type
article
Field-Weighted Citation Impact
7.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite time blow-up in a 1D model of the incompressible porous media equation

Alexander Kiselev, Naji A. Sarsam
2 citations
Nonlinearity
Navier-Stokes equation solutions
7.45
article

Finite time blow-up in a 1D model of the incompressible porous media equation

Alexander Kiselev, Naji A. Sarsam
article en
2 citations

Abstract

Abstract We derive a PDE that models the behavior of a boundary layer solution to the incompressible porous media (IPM) equation posed on the 2D periodic half-plane. This 1D IPM model is a transport equation with a non-local velocity similar to the well-known Córdoba–Córdoba–Fontelos (CCF) equation. We discuss how this modification of the CCF equation can be regarded as a reasonable model for solutions to the IPM equation. Working in the class of bounded smooth periodic data, we then show local well-posedness for the 1D IPM model as well as finite time blow-up for a class of initial data.

NonlinearityVol. 38(5)
Duke University (US)
Openalex Percentile: Top 4%
Navier-Stokes equation solutions
7.45
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.