arXiv (All)
open access
Structure-Preserving Dynamical Low-Rank Approximations for Stochastic Vlasov--Poisson Equations
We develop structure-preserving dynamical low-rank methods for stochastic Vlasov--Poisson equations with transport noise. We first derive continuous low-rank evolution equations that inherit the mass, momentum, and energy balance laws through fixed velocity modes. We then construct two augmented bas
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The relativistic Euler-Poisson equation as a mean-field limit#1084792
- ShARK: A Stochastic Transport Framework for the Relativistic Relaxation Time Approximation Boltzmann Equation#1129746
- Stochastic Theory of Relativistic Particles Moving in a Quantum Field: I. Influence Functional and Langevin Equation#499018
- Global-in-time convergence from bipolar Euler-Poisson equations to unipolar ones#1216179
- Iteration of the Lent Particle Method for Existence of Smooth Densities of Poisson Functionals#1120603
Record · ID 1234789
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive