arXiv (All)
open access
Sharpness of the percolation phase transition for weighted random connection models
We establish the sharpness of the percolation phase transition for a class of potentially infinite-range weighted random connection models. The vertex set is given by a marked Poisson point process on $\mathbb R^d$, $d\geq 2$, with intensity $λ>0$, where each vertex carries an independent weight. Gi
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
- Phase transitions for percolation of words in one dimension#972061
- Largest component and sharpness in continuum percolation#793388
- Largest component and sharpness in continuum percolation#789384
- Neighbour-count dependent thinning of Poisson processes: correlation structure and Poisson approximation#1052043
- Fixed points of Boolean networks with sparse connections#983880
Record · ID 1298032
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