arXiv (All)
open access
Markovian renormalisation for percolation in high-dimension: Semi-decidability of mean field behavior
We develop a new approach to study Bernoulli percolation in dimensions $d>6$. The key idea is to approximate open paths at probability $p'>p$ by a Markov chain of pointed $p$-open clusters. This allows us to transfer sharp information on the two point function from $p$ to $p'$. This inductively give
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
- Disorder Thresholds and Free Energy of Brownian Directed Polymers with Product and Radial Spatial Correlations#790260
- Locality of Bernoulli Site Percolation on Transitive Graphs#975093
- Bound states of the ϕ^4 model via the nonperturbative renormalization group#235169
- Correlated disorder versus correlated noise: Ordering in active systems#784781
- Correlated disorder versus correlated noise: Ordering in active systems#783191
Record · ID 1034558
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