What is the probability that a random $ntimes n$ bipartite graph has an isolated vertex?

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By a random $ntimes n$ bipartite graph, I mean a random bipartite graph on two vertex classes of size $n$, with the edges added independently, each with probability $p$.



I want to find the probability that such a graph contains an isolated vertex.



Let $X$ and $Y$ be the vertex classes. I can calculate the probability that $X$ contains an isolated vertex by considering one vertex first and using the fact that vertices in $X$ are independent.



But I don't know how to calculate the probability that $Xcup Y$ contains an isolated vertex. Can someone help? Thanks!










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    The same question was asked years ago: Isolated vertex probabilities for different random graphs, but it doesn't yet have a correct answer.
    – Kundor
    Apr 24 '13 at 19:34














up vote
10
down vote

favorite
3












By a random $ntimes n$ bipartite graph, I mean a random bipartite graph on two vertex classes of size $n$, with the edges added independently, each with probability $p$.



I want to find the probability that such a graph contains an isolated vertex.



Let $X$ and $Y$ be the vertex classes. I can calculate the probability that $X$ contains an isolated vertex by considering one vertex first and using the fact that vertices in $X$ are independent.



But I don't know how to calculate the probability that $Xcup Y$ contains an isolated vertex. Can someone help? Thanks!










share|cite|improve this question



















  • 2




    The same question was asked years ago: Isolated vertex probabilities for different random graphs, but it doesn't yet have a correct answer.
    – Kundor
    Apr 24 '13 at 19:34












up vote
10
down vote

favorite
3









up vote
10
down vote

favorite
3






3





By a random $ntimes n$ bipartite graph, I mean a random bipartite graph on two vertex classes of size $n$, with the edges added independently, each with probability $p$.



I want to find the probability that such a graph contains an isolated vertex.



Let $X$ and $Y$ be the vertex classes. I can calculate the probability that $X$ contains an isolated vertex by considering one vertex first and using the fact that vertices in $X$ are independent.



But I don't know how to calculate the probability that $Xcup Y$ contains an isolated vertex. Can someone help? Thanks!










share|cite|improve this question















By a random $ntimes n$ bipartite graph, I mean a random bipartite graph on two vertex classes of size $n$, with the edges added independently, each with probability $p$.



I want to find the probability that such a graph contains an isolated vertex.



Let $X$ and $Y$ be the vertex classes. I can calculate the probability that $X$ contains an isolated vertex by considering one vertex first and using the fact that vertices in $X$ are independent.



But I don't know how to calculate the probability that $Xcup Y$ contains an isolated vertex. Can someone help? Thanks!







graph-theory inclusion-exclusion random-graphs






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edited Mar 27 '16 at 7:22









joriki

168k10181337




168k10181337










asked Apr 22 '13 at 23:27









Spook

2,2021033




2,2021033







  • 2




    The same question was asked years ago: Isolated vertex probabilities for different random graphs, but it doesn't yet have a correct answer.
    – Kundor
    Apr 24 '13 at 19:34












  • 2




    The same question was asked years ago: Isolated vertex probabilities for different random graphs, but it doesn't yet have a correct answer.
    – Kundor
    Apr 24 '13 at 19:34







2




2




The same question was asked years ago: Isolated vertex probabilities for different random graphs, but it doesn't yet have a correct answer.
– Kundor
Apr 24 '13 at 19:34




The same question was asked years ago: Isolated vertex probabilities for different random graphs, but it doesn't yet have a correct answer.
– Kundor
Apr 24 '13 at 19:34










1 Answer
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This can be done using inclusion/exclusion. We have $n+n$ conditions for the individual vertices being isolated. There are $binom nkbinom nl$ combinations of these conditions that require $k$ particular vertices in $X$ and $l$ particular vertices in $Y$ to be isolated, and the probability for this is $q^kn+ln-kl$, with $q=1-p$. Thus by inclusion/exclusion the desired probability that at least one vertex is isolated is



beginalign
&1-sum_k=0^nsum_l=0^n(-1)^k+lbinom nkbinom nlq^kn+ln-kl\
=&1-sum_k=0^n(-1)^kbinom nkq^knsum_l=0^n(-1)^lbinom nlq^ln-kl\
=&1-sum_k=0^n(-1)^kbinom nkq^knleft(1-q^n-kright)^n\
=&1-sum_k=0^n(-1)^kbinom nkleft(q^k-q^nright)^n;.
endalign






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    1 Answer
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    1 Answer
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    up vote
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    down vote













    This can be done using inclusion/exclusion. We have $n+n$ conditions for the individual vertices being isolated. There are $binom nkbinom nl$ combinations of these conditions that require $k$ particular vertices in $X$ and $l$ particular vertices in $Y$ to be isolated, and the probability for this is $q^kn+ln-kl$, with $q=1-p$. Thus by inclusion/exclusion the desired probability that at least one vertex is isolated is



    beginalign
    &1-sum_k=0^nsum_l=0^n(-1)^k+lbinom nkbinom nlq^kn+ln-kl\
    =&1-sum_k=0^n(-1)^kbinom nkq^knsum_l=0^n(-1)^lbinom nlq^ln-kl\
    =&1-sum_k=0^n(-1)^kbinom nkq^knleft(1-q^n-kright)^n\
    =&1-sum_k=0^n(-1)^kbinom nkleft(q^k-q^nright)^n;.
    endalign






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      This can be done using inclusion/exclusion. We have $n+n$ conditions for the individual vertices being isolated. There are $binom nkbinom nl$ combinations of these conditions that require $k$ particular vertices in $X$ and $l$ particular vertices in $Y$ to be isolated, and the probability for this is $q^kn+ln-kl$, with $q=1-p$. Thus by inclusion/exclusion the desired probability that at least one vertex is isolated is



      beginalign
      &1-sum_k=0^nsum_l=0^n(-1)^k+lbinom nkbinom nlq^kn+ln-kl\
      =&1-sum_k=0^n(-1)^kbinom nkq^knsum_l=0^n(-1)^lbinom nlq^ln-kl\
      =&1-sum_k=0^n(-1)^kbinom nkq^knleft(1-q^n-kright)^n\
      =&1-sum_k=0^n(-1)^kbinom nkleft(q^k-q^nright)^n;.
      endalign






      share|cite|improve this answer
























        up vote
        2
        down vote










        up vote
        2
        down vote









        This can be done using inclusion/exclusion. We have $n+n$ conditions for the individual vertices being isolated. There are $binom nkbinom nl$ combinations of these conditions that require $k$ particular vertices in $X$ and $l$ particular vertices in $Y$ to be isolated, and the probability for this is $q^kn+ln-kl$, with $q=1-p$. Thus by inclusion/exclusion the desired probability that at least one vertex is isolated is



        beginalign
        &1-sum_k=0^nsum_l=0^n(-1)^k+lbinom nkbinom nlq^kn+ln-kl\
        =&1-sum_k=0^n(-1)^kbinom nkq^knsum_l=0^n(-1)^lbinom nlq^ln-kl\
        =&1-sum_k=0^n(-1)^kbinom nkq^knleft(1-q^n-kright)^n\
        =&1-sum_k=0^n(-1)^kbinom nkleft(q^k-q^nright)^n;.
        endalign






        share|cite|improve this answer














        This can be done using inclusion/exclusion. We have $n+n$ conditions for the individual vertices being isolated. There are $binom nkbinom nl$ combinations of these conditions that require $k$ particular vertices in $X$ and $l$ particular vertices in $Y$ to be isolated, and the probability for this is $q^kn+ln-kl$, with $q=1-p$. Thus by inclusion/exclusion the desired probability that at least one vertex is isolated is



        beginalign
        &1-sum_k=0^nsum_l=0^n(-1)^k+lbinom nkbinom nlq^kn+ln-kl\
        =&1-sum_k=0^n(-1)^kbinom nkq^knsum_l=0^n(-1)^lbinom nlq^ln-kl\
        =&1-sum_k=0^n(-1)^kbinom nkq^knleft(1-q^n-kright)^n\
        =&1-sum_k=0^n(-1)^kbinom nkleft(q^k-q^nright)^n;.
        endalign







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Sep 8 at 9:00

























        answered Mar 7 '16 at 12:55









        joriki

        168k10181337




        168k10181337



























             

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