arXiv (All)
open access
Higher-order hyperuniformity of random measures
We study higher-order hyperuniformity through the large-scale variance of local $k$-point patterns, and write $\HU_k$ for the resulting condition; $\HU_1$ is ordinary hyperuniformity. The conditions $\HU_k$ need not coincide: for every $k\geq1$ there exists an $\mathbb R$-invariant weakly mixing s
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
- A new perspective on the equivalence between Weak and Strong Spatial Mixing in two dimensions#160853
- Stability of quasi-stationary measures in high-dimensional products of mixing Markov chains#997087
- Induced random mixed states are symmetric Dirichlet mixtures#987170
- A law of thin processes with neighbour-count thinning#1061367
- Almost-sure uniqueness of the Gaussian location NPMLE#1050094
Record · ID 984419
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