Bipartite graphs and isolated vertices

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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!
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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