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there's a proof provided, but i want to know the intuition as to why it is 2^k.
The largest n such that the complete graph K_n can be expressed as the union of k bipartite graphs is definitively 2^k, where k represents the number of bipartite graphs. This conclusion is supported by the theorem stating that K_n can be covered by k bipartite graphs if and only if n ≤ 2^k. The intuition behind this is rooted in the concept of 2^k-colorability, as each bipartite graph can be colored with two colors, leading to a total of 2^k unique color combinations for the vertices. Understanding the relationship between bipartite graphs and complete graphs is essential for grasping this theorem.
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The largest n such that K_n can be expressed as the union of bipartite graph is 2^k where k is the number of bipartite graphsmfb said:I think there is something missing in the question.
there's a proof provided, but i want to know the intuition as to why it is 2^k.
i did some calculations but it still just won't sit well with me. i did some research and found that there's 2^k colors since each bipartite graph have 2 colors and there are k such bipartite graphs. after some thinking, it became obvious that the number of vertices should be less than 2^k because each vertex can appear in more than one bipartite graph thus it can have more than 1 color. lastly, for the equality case, there are calculations that did satisfy that ,but i seem to lack the understanding as to why.QuantumQuest said:##K_n## is a complete graph and the theorem claims that this can be expressed as a union of ##k## bipartite graphs if and only if ##n\leq 2^k##.
So, in order to get a more intuitive view, I'd advise to solve for ##k## and see the minimum number of bipartite graphs sufficient to cover ##K_n##.
You can take some values for ##k## and see where it goes, doing some required representations along the way. The gist of the theorem is that if the inequality gets violated there can't be a coverage of ##K_n## with ##k## bipartite graphs.