A random particle blob method for the Keller-Segel equation and convergence analysis
DOI10.1090/mcom/3118zbMath1355.60092OpenAlexW2400062562MaRDI QIDQ2953204
Publication date: 4 January 2017
Published in: Mathematics of Computation (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/ef710c20c205b2fce012dfb3a50d55e24001ad77
chemotaxispropagation of chaosWasserstein distanceKeller-Segel equationNewtonian aggregationDobrushin-type stabilityinteracting Brownian particle systemmean-field nonlinear stochastic differential equationrandom particle blob method
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Nonlinear parabolic equations (35K55) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Applications of stochastic analysis (to PDEs, etc.) (60H30) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30) Stochastic particle methods (65C35) Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs (65M75)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Kac's program in kinetic theory
- Dynamic and steady states for multi-dimensional Keller-Segel model with diffusion exponent \(m > 0\)
- Propagation of chaos for the 2D viscous vortex model
- Vortex methods in two-dimensional fluid dynamics
- Propagation of chaos for the Keller-Segel equation with a logarithmic cut-off
- On Kac's chaos and related problems
- Vorticity and Incompressible Flow
- A blob method for the aggregation equation
- Vortex Methods
- Convergence of the random vortex method
- Convergence of the Random Vortex Method in Two Dimensions
- Foundations of Modern Probability
- High-resolution simulations of the flow around an impulsively started cylinder using vortex methods
- Probability theory. A comprehensive course
- Optimal Transport
- Stochastic differential equations. An introduction with applications.