Abstract
We study the number of k-cycles in a random graph G(n, p). We estimate the probability that a random graph contains more k-cycles than expected. In this case, the usual martingale inequality with bounded difference is not effective. By constructing a variable that approximates to the number of k-cycles in a random graph and using a new and extensive martingale inequality, we get the results in this paper.
Similar content being viewed by others
References
Kim J H, Vu V H. Concentration of Multi-variate Polynomials and Its Applications [J]. Combinatorica, 2000, 20(3): 417–434.
Alon N, Kim J H, Spencer J. Nearly Perfect Matchings in Regular Simple Hypergraph[J]. Israel J of Math, 1997, 100: 171–187.
Kahn J. Asymptotically Good List-Colorings[J]. J Combinatorial Th(A), 1996, 73: 1–59.
Kim J H. On Brooks’ Theorem for Sparse Graph[J]. Combinatorics, Probabilty and Computing, 1995, 4: 417–434.
Kim J H, Vu V H. Small Complete Arcs in Projective Planes[J]. Combinatorica, 2003, 23: 311–363.
Grable D. A Large Deviation Inequality for Functions of Independent, Multi-Way Choices[J]. Combinatorics, Probabilty and Computing, 1998, 7: 57–63.
Bollobas B. Random Graph[M]. New York: Academic Press, 1985.
Janson S, Oleszkiewicz K, Rucinski A. Upper Tails for Subgraph Counts in Random Graphs[J]. Israel J Math, 2004, 141: 61–92.
Vu V H. Concentration of Non-Lipschitz Functions and Applications[J]. Random Structure Algorithms, 2002, 15: 262–316.
Kim J H, Vu V H. Divide and Conquer Martingales and the Number of Triangles in a Random Graph[J]. Random Structure Algorithms, 2004, 24: 166–174.
Panchenko D. Deviation Inequality for Monotonic Boolean Functions with Application to a Number of k-Cycles in a Random Graph[J]. Random Structure Algorithms, 2004, 24: 65–74.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: Supported by the National Natural Science Foundation of China (10571139)
Rights and permissions
About this article
Cite this article
Wang, Y., Gao, F. Deviation inequality for the number of k-cycles in a random graph. Wuhan Univ. J. Nat. Sci. 14, 11–13 (2009). https://doi.org/10.1007/s11859-009-0103-2
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11859-009-0103-2