Difference between revisions of "Open Problems:67"

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Let $G$ be a graph consisting of a cycle of length $n$ and a random matching. It is known that this graph is
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The following construction is a hard instance for bipartiteness testing in sparse graphs {{cite|GoldreichR-02}}.
* an expander
 
* not bipartite
 
  
Let $G'$ be a graph consisting of a cycle of length $n$ and a random matching, with the constraint that the matching must consist only of "even chords": these are chords that are an even number of vertices apart on the cycle. It is easy to see now that this graph is bipartite.  
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Let $G$ be a graph consisting of a cycle of length $n$ (where $n$ is even) and a random matching. It is known that with high probability, $G$ is an expander and at least $0.01 n$ edges have to be removed to turn it into a bipartite graph. Let $G'$ be a graph consisting of a cycle of length $n$ and a random matching, with the constraint that the matching must consist only of "even chords": these are chords that are an even number of vertices apart on the cycle. It is easy to see that $G'$ is bipartite.  
  
We can say two more things about $G$ and $G'$.  
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The total number of edges in each graph is $3n/2$. It is easy to see that
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# $G'$ has a cut of size $3n/2$,
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# with high probability $G$ has no cut of size greater than $(3/2 - 0.01)n$.
  
# $G$ is very far from being bipartite:
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How much space is required to distinguish between these two graphs in the streaming model?
# $G$ has a max cut of size $n$ and $G'$ does not have a max cut bigger than (say) $0.99n$.
 
 
 
How much space is required to distinguish between these two graphs in a streaming setting ?
 

Revision as of 18:42, 4 June 2014

Suggested by Robert Krauthgamer
Source Bertinoro 2014
Short link https://sublinear.info/67

The following construction is a hard instance for bipartiteness testing in sparse graphs [GoldreichR-02].

Let $G$ be a graph consisting of a cycle of length $n$ (where $n$ is even) and a random matching. It is known that with high probability, $G$ is an expander and at least $0.01 n$ edges have to be removed to turn it into a bipartite graph. Let $G'$ be a graph consisting of a cycle of length $n$ and a random matching, with the constraint that the matching must consist only of "even chords": these are chords that are an even number of vertices apart on the cycle. It is easy to see that $G'$ is bipartite.

The total number of edges in each graph is $3n/2$. It is easy to see that

  1. $G'$ has a cut of size $3n/2$,
  2. with high probability $G$ has no cut of size greater than $(3/2 - 0.01)n$.

How much space is required to distinguish between these two graphs in the streaming model?