Title
On the rank of random matrices
Abstract
Let M = (m(ij)) be a random n x n matrix over GF(2). Each matrix entry m(ij) is independently and identically distributed, with Pr(m(ij) = 0)= 1 - p(n) and Pr(mi, 1)= p(n). The probability that the matrix M is nonsingular tends to c(2) approximate to 0.28879 provided min(p. 1 - p) 1 (log n + d(n))ln for any d(n) --> infinity. Sharp thresholds are also obtained for constant d(n. This answers a question posed in a paper by J. Blamer, R. I(arp, and E. Welzl (Random Struct Alg, 10(4) (1997)). (C) 2000 John Wiley & Sons, Inc.
Year
DOI
Venue
2000
3.0.CO;2-1" target="_self" class="small-link-text"10.1002/(SICI)1098-2418(200003)16:23.0.CO;2-1
Random Struct. Algorithms
Keywords
Field
DocType
independent and identically distributed,finite field,random matrices
Discrete mathematics,Combinatorics,Matrix (mathematics),struct,Independent and identically distributed random variables,Invertible matrix,Circular law,Mathematics,Random matrix
Journal
Volume
Issue
ISSN
16
2
1042-9832
Citations 
PageRank 
References 
30
2.94
2
Authors
1
Name
Order
Citations
PageRank
Colin Cooper128730.73