Number of cliques in a graph and intersection number The Next CEO of Stack OverflowMaximal and Maximum CliquesSelection from cliques of a graph in polynomial timeExample of graph with specific $chi (G)$, $omega (G)$, $beta (G)$If a graph G is the union of $n$ cliques of size $n$ no two of which share more than one vertex, then $chi_f(G)=n$. $omega(G)=n$How to optimize the clique problem when permuting a known graph?Graph Theory Connectivity ProofLet $G$ be a graph and $omega$ be its clique numberProve that for all $nge1$, a complete graph of n vertices contains k-cliques for k $in 1,…,n$Graph theoretic name for minimal subgraph that connects to full graphCounting the number of undirected simple and connected graphs

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Number of cliques in a graph and intersection number



The Next CEO of Stack OverflowMaximal and Maximum CliquesSelection from cliques of a graph in polynomial timeExample of graph with specific $chi (G)$, $omega (G)$, $beta (G)$If a graph G is the union of $n$ cliques of size $n$ no two of which share more than one vertex, then $chi_f(G)=n$. $omega(G)=n$How to optimize the clique problem when permuting a known graph?Graph Theory Connectivity ProofLet $G$ be a graph and $omega$ be its clique numberProve that for all $nge1$, a complete graph of n vertices contains k-cliques for k $in 1,…,n$Graph theoretic name for minimal subgraph that connects to full graphCounting the number of undirected simple and connected graphs










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$begingroup$


Define the number of cliques in a graph $G$ to be $c(G)$ and the intersection number of the graph to be $omega(G)$. I have been tasked to comment on the inequality between $c(G)$ and $omega(G)$. I believe that $c(G)geq omega(G)$. Consider $S_v$ to be the set corresponding to the vertex $v$. Define $C_i=v lvert iin S_v$ for each $iin S$. Now $C_i$ is a complete subgraph of $G$ and
also if $C_i=C_j$ then we can remove $j$ and everything would remain same, thus getting intersection number less than $omega(G)$ which is impossible.



I think the proof is correct, but I am a little unsure if I can indeed remove $j$, but to complete my task I must give an example where $c(G)>omega(G)$, I can't seem to find it. Some help would be appreciated. Thanks.










share|cite|improve this question









$endgroup$











  • $begingroup$
    did you ever find an answer to this?
    $endgroup$
    – rachelhoward
    Apr 26 '18 at 23:22















3












$begingroup$


Define the number of cliques in a graph $G$ to be $c(G)$ and the intersection number of the graph to be $omega(G)$. I have been tasked to comment on the inequality between $c(G)$ and $omega(G)$. I believe that $c(G)geq omega(G)$. Consider $S_v$ to be the set corresponding to the vertex $v$. Define $C_i=v lvert iin S_v$ for each $iin S$. Now $C_i$ is a complete subgraph of $G$ and
also if $C_i=C_j$ then we can remove $j$ and everything would remain same, thus getting intersection number less than $omega(G)$ which is impossible.



I think the proof is correct, but I am a little unsure if I can indeed remove $j$, but to complete my task I must give an example where $c(G)>omega(G)$, I can't seem to find it. Some help would be appreciated. Thanks.










share|cite|improve this question









$endgroup$











  • $begingroup$
    did you ever find an answer to this?
    $endgroup$
    – rachelhoward
    Apr 26 '18 at 23:22













3












3








3


1



$begingroup$


Define the number of cliques in a graph $G$ to be $c(G)$ and the intersection number of the graph to be $omega(G)$. I have been tasked to comment on the inequality between $c(G)$ and $omega(G)$. I believe that $c(G)geq omega(G)$. Consider $S_v$ to be the set corresponding to the vertex $v$. Define $C_i=v lvert iin S_v$ for each $iin S$. Now $C_i$ is a complete subgraph of $G$ and
also if $C_i=C_j$ then we can remove $j$ and everything would remain same, thus getting intersection number less than $omega(G)$ which is impossible.



I think the proof is correct, but I am a little unsure if I can indeed remove $j$, but to complete my task I must give an example where $c(G)>omega(G)$, I can't seem to find it. Some help would be appreciated. Thanks.










share|cite|improve this question









$endgroup$




Define the number of cliques in a graph $G$ to be $c(G)$ and the intersection number of the graph to be $omega(G)$. I have been tasked to comment on the inequality between $c(G)$ and $omega(G)$. I believe that $c(G)geq omega(G)$. Consider $S_v$ to be the set corresponding to the vertex $v$. Define $C_i=v lvert iin S_v$ for each $iin S$. Now $C_i$ is a complete subgraph of $G$ and
also if $C_i=C_j$ then we can remove $j$ and everything would remain same, thus getting intersection number less than $omega(G)$ which is impossible.



I think the proof is correct, but I am a little unsure if I can indeed remove $j$, but to complete my task I must give an example where $c(G)>omega(G)$, I can't seem to find it. Some help would be appreciated. Thanks.







graph-theory






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asked Feb 14 '16 at 14:57









shadow10shadow10

2,877931




2,877931











  • $begingroup$
    did you ever find an answer to this?
    $endgroup$
    – rachelhoward
    Apr 26 '18 at 23:22
















  • $begingroup$
    did you ever find an answer to this?
    $endgroup$
    – rachelhoward
    Apr 26 '18 at 23:22















$begingroup$
did you ever find an answer to this?
$endgroup$
– rachelhoward
Apr 26 '18 at 23:22




$begingroup$
did you ever find an answer to this?
$endgroup$
– rachelhoward
Apr 26 '18 at 23:22










1 Answer
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1












$begingroup$

It is quite straightforward from the definition. You are comparing the number of cliques, with the minimum number of cliques that have a certain condition (that is, they cover the set of edges of the graph). In other words, you are comparing the size of a set, with the size of its subset.



It is known that the number of cliques in a graph is no smaller than the number of edges, i.e. $c(G) geq m$. Also, we know that the number of edges is an upper bound for the intersection number, i.e. $omega(G)leq m$. Doesn't this imply the proof that you are looking for?






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    $begingroup$

    It is quite straightforward from the definition. You are comparing the number of cliques, with the minimum number of cliques that have a certain condition (that is, they cover the set of edges of the graph). In other words, you are comparing the size of a set, with the size of its subset.



    It is known that the number of cliques in a graph is no smaller than the number of edges, i.e. $c(G) geq m$. Also, we know that the number of edges is an upper bound for the intersection number, i.e. $omega(G)leq m$. Doesn't this imply the proof that you are looking for?






    share|cite|improve this answer









    $endgroup$

















      1












      $begingroup$

      It is quite straightforward from the definition. You are comparing the number of cliques, with the minimum number of cliques that have a certain condition (that is, they cover the set of edges of the graph). In other words, you are comparing the size of a set, with the size of its subset.



      It is known that the number of cliques in a graph is no smaller than the number of edges, i.e. $c(G) geq m$. Also, we know that the number of edges is an upper bound for the intersection number, i.e. $omega(G)leq m$. Doesn't this imply the proof that you are looking for?






      share|cite|improve this answer









      $endgroup$















        1












        1








        1





        $begingroup$

        It is quite straightforward from the definition. You are comparing the number of cliques, with the minimum number of cliques that have a certain condition (that is, they cover the set of edges of the graph). In other words, you are comparing the size of a set, with the size of its subset.



        It is known that the number of cliques in a graph is no smaller than the number of edges, i.e. $c(G) geq m$. Also, we know that the number of edges is an upper bound for the intersection number, i.e. $omega(G)leq m$. Doesn't this imply the proof that you are looking for?






        share|cite|improve this answer









        $endgroup$



        It is quite straightforward from the definition. You are comparing the number of cliques, with the minimum number of cliques that have a certain condition (that is, they cover the set of edges of the graph). In other words, you are comparing the size of a set, with the size of its subset.



        It is known that the number of cliques in a graph is no smaller than the number of edges, i.e. $c(G) geq m$. Also, we know that the number of edges is an upper bound for the intersection number, i.e. $omega(G)leq m$. Doesn't this imply the proof that you are looking for?







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Mar 28 at 9:56









        orezvaniorezvani

        254310




        254310



























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