Bipartite graphs and isolated vertices

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SUMMARY

The discussion focuses on determining the threshold function p=p(n) for random bipartite graphs, specifically with 2n vertices divided into two sets of n vertices each. The user seeks to establish that for edge probability p greater than p(n), there are almost surely no isolated vertices as n approaches infinity, while for p less than p(n), isolated vertices are almost certain. The user references the known threshold for non-bipartite graphs, p(n)=log(n)/n, and speculates that the bipartite case may follow a similar pattern, potentially as klog(n)/n.

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simba31415
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Homework Statement


Hello everyone,

I am trying to determine the the threshold function p=p(n) for a random bipartite graph (see http://en.wikipedia.org/wiki/Erdős–Rényi_model for a 'random graph': I am interested in the same idea, but for random bipartite graphs), such that for a random bipartite graph with 2n vertices (n in each vertex set), with edge probability p>p(n) we almost surely have no isolated vertex as n \to \infty and with p<p(n) we almost surely have an isolated vertex.

I am aware that for normal non-bipartite graphs with n vertices, the probability is p(n)=log(n)/n: I suspect in this case the function is something like klog(n)/n: could anyone help me, please? Thankyou ever so much :)
 
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Just thought i'd check again, nobody has any thoughts on this perhaps? :)
 
Aaanyone? If not, I guess the mods should feel free to close this thread!
 

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