首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Counting dense connected hypergraphs via the probabilistic method
Abstract:In 1990 Bender, Canfield, and McKay gave an asymptotic formula for the number of connected graphs on urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0001 with m edges, whenever urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0002 and urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0003. We give an asymptotic formula for the number urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0004 of connected r‐uniform hypergraphs on urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0005 with m edges, whenever urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0006 is fixed and urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0007 with urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0008, that is, the average degree tends to infinity. This complements recent results of Behrisch, Coja‐Oghlan, and Kang (the case urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0009) and the present authors (the case urn:x-wiley:10429832:media:rsa20762:rsa20762-math-0010, ie, “nullity” or “excess” o(n)). The proof is based on probabilistic methods, and in particular on a bivariate local limit theorem for the number of vertices and edges in the largest component of a certain random hypergraph. The arguments are much simpler than in the sparse case; in particular, we can use “smoothing” techniques to directly prove the local limit theorem, without needing to first prove a central limit theorem.
Keywords:random hypergraphs  hypergraph enumeration  local limit theorems
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号