On the cover time for random walks on random graphs

被引:33
作者
Jonasson, J [1 ]
机构
[1] Chalmers Univ Technol, S-41296 Gothenburg, Sweden
关键词
D O I
10.1017/S0963548398003538
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The cover time, C, for a simple random walk on a realization, G(N), of G(N, p), the random graph on N vertices where each two vertices have an edge between them with probability p independently, is studied. The parameter p is allowed to decrease with N and p is written on the Form f(N)/N, where it is assumed that f(N) greater than or equal to c log N for some c > 1 to asymptotically ensure connectedness of the graph. It is shown that if f(N) is of higher order than log N, then, with probability 1 - o(1), (1 - epsilon)N log N less than or equal to E[C\G(N)] less than or equal to (1 + epsilon)N log N for any fixed epsilon > 0, whereas if f(N) = O(log N), there exists a constant a > 0 such that, with probability 1 - o(1), E[C\G(N)] greater than or equal to (1 + a)N log N. It is furthermore shown that if f(N) is of higher order than (log N)(3) then Var(C\G(N)) = o((N log N)(2)) with probability 1 - o(1), so that with probability 1 - o(1) the stronger statement that (1 - epsilon)N log N less than or equal to C less than or equal to (1 + epsilon)N log N holds.
引用
收藏
页码:265 / 279
页数:15
相关论文
共 16 条
[1]  
Aldous D., 1989, Journal of Theoretical Probability, V2, P87
[2]  
Barbour AD, 1992, Poisson approximation
[3]  
Bollobas B, 1985, RANDOM GRAPHS
[4]  
BRODER A, 1989, J THEORET PROBAB, V2, P101
[5]   COLLISIONS AMONG RANDOM-WALKS ON A GRAPH [J].
COPPERSMITH, D ;
TETALI, P ;
WINKLER, P .
SIAM JOURNAL ON DISCRETE MATHEMATICS, 1993, 6 (03) :363-374
[6]  
Doyle Peter G, 1984, RANDOM WALKS ELECT N, V22
[7]   A TIGHT LOWER-BOUND ON THE COVER TIME FOR RANDOM-WALKS ON GRAPHS [J].
FEIGE, U .
RANDOM STRUCTURES & ALGORITHMS, 1995, 6 (04) :433-438
[8]   A TIGHT UPPER BOUND ON THE COVER TIME FOR RANDOM-WALKS ON GRAPHS [J].
FEIGE, U .
RANDOM STRUCTURES & ALGORITHMS, 1995, 6 (01) :51-54
[9]   RANDOM-WALK ON THE INFINITE CLUSTER OF THE PERCOLATION MODEL [J].
GRIMMETT, GR ;
KESTEN, H ;
ZHANG, Y .
PROBABILITY THEORY AND RELATED FIELDS, 1993, 96 (01) :33-44
[10]  
KAHN JD, 1989, J THEORET PROBAB, V2, P121