arXiv (All)
open access
Entropic Chaos of Mixed Mean-Field Jump Processes
This paper studies a class of mixed mean-field jump processes on an abstract state space $Π$, together with their associated $N$-particle systems. The dynamics consist of the superposition of an independent Markovian component and a bounded mean-field jump interaction; in particular, piecewise deter
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
- Weak conditional propagation of chaos for systems of interacting particles with nearly stable jumps#927190
- Predictable Mean-Field Chaos in Random Recurrent Neural Networks#618100
- Predictable Mean-Field Chaos in Random Recurrent Neural Networks#617600
- On systems of maximal quantum chaos#364414
- Uniform in time propagation of chaos for noisy mean-field coupled maps#972813
Record · ID 1232634
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