The Clique vs. Independent Set Problem
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Suppose you have an undirected graph $G = (V, E)$, known to both Alice and Bob, Alice gets an independent set of $G$. Bob gets a Clique $B ⊆ V$.
Is there any algorithm in $O(log^2 n)$ bits that finds whether
$ A ∩ B = Ø $?
This is a well known communication complexity problem called CIS problem that was described by Yannakakis.
Lecture notes; the claim is Theorem 3- Link to Nisan & Kushilevitz's textbook
I'm not sure why and how does this work exactly. and which part of the $n/2$ vertices are reduced by both players.
P.S. I came to a conclusion that an independent and a clique can intersect in at most one vertex.
algorithms graphs communication-complexity
$endgroup$
add a comment |
$begingroup$
Suppose you have an undirected graph $G = (V, E)$, known to both Alice and Bob, Alice gets an independent set of $G$. Bob gets a Clique $B ⊆ V$.
Is there any algorithm in $O(log^2 n)$ bits that finds whether
$ A ∩ B = Ø $?
This is a well known communication complexity problem called CIS problem that was described by Yannakakis.
Lecture notes; the claim is Theorem 3- Link to Nisan & Kushilevitz's textbook
I'm not sure why and how does this work exactly. and which part of the $n/2$ vertices are reduced by both players.
P.S. I came to a conclusion that an independent and a clique can intersect in at most one vertex.
algorithms graphs communication-complexity
$endgroup$
$begingroup$
The lecture notes contain a complete proof.
$endgroup$
– Yuval Filmus
13 hours ago
$begingroup$
I did not understand the algorithm completely to understand the proof itself.
$endgroup$
– Jay
12 hours ago
add a comment |
$begingroup$
Suppose you have an undirected graph $G = (V, E)$, known to both Alice and Bob, Alice gets an independent set of $G$. Bob gets a Clique $B ⊆ V$.
Is there any algorithm in $O(log^2 n)$ bits that finds whether
$ A ∩ B = Ø $?
This is a well known communication complexity problem called CIS problem that was described by Yannakakis.
Lecture notes; the claim is Theorem 3- Link to Nisan & Kushilevitz's textbook
I'm not sure why and how does this work exactly. and which part of the $n/2$ vertices are reduced by both players.
P.S. I came to a conclusion that an independent and a clique can intersect in at most one vertex.
algorithms graphs communication-complexity
$endgroup$
Suppose you have an undirected graph $G = (V, E)$, known to both Alice and Bob, Alice gets an independent set of $G$. Bob gets a Clique $B ⊆ V$.
Is there any algorithm in $O(log^2 n)$ bits that finds whether
$ A ∩ B = Ø $?
This is a well known communication complexity problem called CIS problem that was described by Yannakakis.
Lecture notes; the claim is Theorem 3- Link to Nisan & Kushilevitz's textbook
I'm not sure why and how does this work exactly. and which part of the $n/2$ vertices are reduced by both players.
P.S. I came to a conclusion that an independent and a clique can intersect in at most one vertex.
algorithms graphs communication-complexity
algorithms graphs communication-complexity
edited 12 hours ago
Yuval Filmus
196k15184349
196k15184349
asked 13 hours ago
JayJay
1415
1415
$begingroup$
The lecture notes contain a complete proof.
$endgroup$
– Yuval Filmus
13 hours ago
$begingroup$
I did not understand the algorithm completely to understand the proof itself.
$endgroup$
– Jay
12 hours ago
add a comment |
$begingroup$
The lecture notes contain a complete proof.
$endgroup$
– Yuval Filmus
13 hours ago
$begingroup$
I did not understand the algorithm completely to understand the proof itself.
$endgroup$
– Jay
12 hours ago
$begingroup$
The lecture notes contain a complete proof.
$endgroup$
– Yuval Filmus
13 hours ago
$begingroup$
The lecture notes contain a complete proof.
$endgroup$
– Yuval Filmus
13 hours ago
$begingroup$
I did not understand the algorithm completely to understand the proof itself.
$endgroup$
– Jay
12 hours ago
$begingroup$
I did not understand the algorithm completely to understand the proof itself.
$endgroup$
– Jay
12 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
The two players construct a sequence $V_0 supset V_1 supset cdots supset V_m$ of sets of vertices such that:
$V_0$ consists of all vertices in the graph.
$|V_{i+1}| leq (|V_i|+1)/2$.
$V_i supseteq C cap I$.
The players stop once $|V_m| leq 1$. At this point they can answer the question using $O(1)$ communication.
At round $i$, the players know $V_{i-1}$, and wish to construct $V_i$. They act as follows:
If $C cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ neighbors in $V_{i-1}$, then Alice sends Bob one such vertex $v$, and both players set $V_i$ to be this set of neighbors, together with $v$ (this is valid since $C cap I subseteq C subseteq V_i$). Otherwise, she sends $bot$.
If Alice sent $bot$ and $I cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ non-neighbors in $V_{i-1}$, then Bob sends Alice one such vertex $v$, and both players set $V_i$ to be this set of non-neighbors, together with $v$ (this is valid since $C cap I subseteq I subseteq V_i$). Otherwise, he sends Alice $bot$.
If both players sent $bot$, then $C cap I = emptyset$. Indeed, if $v in C cap I$, then $v$ has at least $|V_{i-1}|/2$ neighbors and at least $|V_{i-1}|/2$ non-neighbors inside $|V_{i-1}|$, whereas the number of potential neighbors and non-neighbors is just $|V_{i-1}|-1$. Therefore the players can abort and conclude that $C cap I = emptyset$.
Each round takes $O(log n)$ bits of communication, and there are $O(log n)$ rounds, for a total of $O(log^2 n)$ bits of communication.
$endgroup$
$begingroup$
How does the number of vertices are resuced by factor of 2 - this leads to the $O(log(n))$ rounds?
$endgroup$
– Jay
11 hours ago
$begingroup$
I'm sorry, I can't explain it any better than what I wrote.
$endgroup$
– Yuval Filmus
11 hours ago
$begingroup$
Thanks a lot Yuval, I’ll try to figure it out.
$endgroup$
– Jay
11 hours ago
add a comment |
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1 Answer
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$begingroup$
The two players construct a sequence $V_0 supset V_1 supset cdots supset V_m$ of sets of vertices such that:
$V_0$ consists of all vertices in the graph.
$|V_{i+1}| leq (|V_i|+1)/2$.
$V_i supseteq C cap I$.
The players stop once $|V_m| leq 1$. At this point they can answer the question using $O(1)$ communication.
At round $i$, the players know $V_{i-1}$, and wish to construct $V_i$. They act as follows:
If $C cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ neighbors in $V_{i-1}$, then Alice sends Bob one such vertex $v$, and both players set $V_i$ to be this set of neighbors, together with $v$ (this is valid since $C cap I subseteq C subseteq V_i$). Otherwise, she sends $bot$.
If Alice sent $bot$ and $I cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ non-neighbors in $V_{i-1}$, then Bob sends Alice one such vertex $v$, and both players set $V_i$ to be this set of non-neighbors, together with $v$ (this is valid since $C cap I subseteq I subseteq V_i$). Otherwise, he sends Alice $bot$.
If both players sent $bot$, then $C cap I = emptyset$. Indeed, if $v in C cap I$, then $v$ has at least $|V_{i-1}|/2$ neighbors and at least $|V_{i-1}|/2$ non-neighbors inside $|V_{i-1}|$, whereas the number of potential neighbors and non-neighbors is just $|V_{i-1}|-1$. Therefore the players can abort and conclude that $C cap I = emptyset$.
Each round takes $O(log n)$ bits of communication, and there are $O(log n)$ rounds, for a total of $O(log^2 n)$ bits of communication.
$endgroup$
$begingroup$
How does the number of vertices are resuced by factor of 2 - this leads to the $O(log(n))$ rounds?
$endgroup$
– Jay
11 hours ago
$begingroup$
I'm sorry, I can't explain it any better than what I wrote.
$endgroup$
– Yuval Filmus
11 hours ago
$begingroup$
Thanks a lot Yuval, I’ll try to figure it out.
$endgroup$
– Jay
11 hours ago
add a comment |
$begingroup$
The two players construct a sequence $V_0 supset V_1 supset cdots supset V_m$ of sets of vertices such that:
$V_0$ consists of all vertices in the graph.
$|V_{i+1}| leq (|V_i|+1)/2$.
$V_i supseteq C cap I$.
The players stop once $|V_m| leq 1$. At this point they can answer the question using $O(1)$ communication.
At round $i$, the players know $V_{i-1}$, and wish to construct $V_i$. They act as follows:
If $C cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ neighbors in $V_{i-1}$, then Alice sends Bob one such vertex $v$, and both players set $V_i$ to be this set of neighbors, together with $v$ (this is valid since $C cap I subseteq C subseteq V_i$). Otherwise, she sends $bot$.
If Alice sent $bot$ and $I cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ non-neighbors in $V_{i-1}$, then Bob sends Alice one such vertex $v$, and both players set $V_i$ to be this set of non-neighbors, together with $v$ (this is valid since $C cap I subseteq I subseteq V_i$). Otherwise, he sends Alice $bot$.
If both players sent $bot$, then $C cap I = emptyset$. Indeed, if $v in C cap I$, then $v$ has at least $|V_{i-1}|/2$ neighbors and at least $|V_{i-1}|/2$ non-neighbors inside $|V_{i-1}|$, whereas the number of potential neighbors and non-neighbors is just $|V_{i-1}|-1$. Therefore the players can abort and conclude that $C cap I = emptyset$.
Each round takes $O(log n)$ bits of communication, and there are $O(log n)$ rounds, for a total of $O(log^2 n)$ bits of communication.
$endgroup$
$begingroup$
How does the number of vertices are resuced by factor of 2 - this leads to the $O(log(n))$ rounds?
$endgroup$
– Jay
11 hours ago
$begingroup$
I'm sorry, I can't explain it any better than what I wrote.
$endgroup$
– Yuval Filmus
11 hours ago
$begingroup$
Thanks a lot Yuval, I’ll try to figure it out.
$endgroup$
– Jay
11 hours ago
add a comment |
$begingroup$
The two players construct a sequence $V_0 supset V_1 supset cdots supset V_m$ of sets of vertices such that:
$V_0$ consists of all vertices in the graph.
$|V_{i+1}| leq (|V_i|+1)/2$.
$V_i supseteq C cap I$.
The players stop once $|V_m| leq 1$. At this point they can answer the question using $O(1)$ communication.
At round $i$, the players know $V_{i-1}$, and wish to construct $V_i$. They act as follows:
If $C cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ neighbors in $V_{i-1}$, then Alice sends Bob one such vertex $v$, and both players set $V_i$ to be this set of neighbors, together with $v$ (this is valid since $C cap I subseteq C subseteq V_i$). Otherwise, she sends $bot$.
If Alice sent $bot$ and $I cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ non-neighbors in $V_{i-1}$, then Bob sends Alice one such vertex $v$, and both players set $V_i$ to be this set of non-neighbors, together with $v$ (this is valid since $C cap I subseteq I subseteq V_i$). Otherwise, he sends Alice $bot$.
If both players sent $bot$, then $C cap I = emptyset$. Indeed, if $v in C cap I$, then $v$ has at least $|V_{i-1}|/2$ neighbors and at least $|V_{i-1}|/2$ non-neighbors inside $|V_{i-1}|$, whereas the number of potential neighbors and non-neighbors is just $|V_{i-1}|-1$. Therefore the players can abort and conclude that $C cap I = emptyset$.
Each round takes $O(log n)$ bits of communication, and there are $O(log n)$ rounds, for a total of $O(log^2 n)$ bits of communication.
$endgroup$
The two players construct a sequence $V_0 supset V_1 supset cdots supset V_m$ of sets of vertices such that:
$V_0$ consists of all vertices in the graph.
$|V_{i+1}| leq (|V_i|+1)/2$.
$V_i supseteq C cap I$.
The players stop once $|V_m| leq 1$. At this point they can answer the question using $O(1)$ communication.
At round $i$, the players know $V_{i-1}$, and wish to construct $V_i$. They act as follows:
If $C cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ neighbors in $V_{i-1}$, then Alice sends Bob one such vertex $v$, and both players set $V_i$ to be this set of neighbors, together with $v$ (this is valid since $C cap I subseteq C subseteq V_i$). Otherwise, she sends $bot$.
If Alice sent $bot$ and $I cap V_{i-1}$ contains a vertex $v$ with fewer than $|V_{i-1}|/2$ non-neighbors in $V_{i-1}$, then Bob sends Alice one such vertex $v$, and both players set $V_i$ to be this set of non-neighbors, together with $v$ (this is valid since $C cap I subseteq I subseteq V_i$). Otherwise, he sends Alice $bot$.
If both players sent $bot$, then $C cap I = emptyset$. Indeed, if $v in C cap I$, then $v$ has at least $|V_{i-1}|/2$ neighbors and at least $|V_{i-1}|/2$ non-neighbors inside $|V_{i-1}|$, whereas the number of potential neighbors and non-neighbors is just $|V_{i-1}|-1$. Therefore the players can abort and conclude that $C cap I = emptyset$.
Each round takes $O(log n)$ bits of communication, and there are $O(log n)$ rounds, for a total of $O(log^2 n)$ bits of communication.
edited 11 hours ago
answered 12 hours ago
Yuval FilmusYuval Filmus
196k15184349
196k15184349
$begingroup$
How does the number of vertices are resuced by factor of 2 - this leads to the $O(log(n))$ rounds?
$endgroup$
– Jay
11 hours ago
$begingroup$
I'm sorry, I can't explain it any better than what I wrote.
$endgroup$
– Yuval Filmus
11 hours ago
$begingroup$
Thanks a lot Yuval, I’ll try to figure it out.
$endgroup$
– Jay
11 hours ago
add a comment |
$begingroup$
How does the number of vertices are resuced by factor of 2 - this leads to the $O(log(n))$ rounds?
$endgroup$
– Jay
11 hours ago
$begingroup$
I'm sorry, I can't explain it any better than what I wrote.
$endgroup$
– Yuval Filmus
11 hours ago
$begingroup$
Thanks a lot Yuval, I’ll try to figure it out.
$endgroup$
– Jay
11 hours ago
$begingroup$
How does the number of vertices are resuced by factor of 2 - this leads to the $O(log(n))$ rounds?
$endgroup$
– Jay
11 hours ago
$begingroup$
How does the number of vertices are resuced by factor of 2 - this leads to the $O(log(n))$ rounds?
$endgroup$
– Jay
11 hours ago
$begingroup$
I'm sorry, I can't explain it any better than what I wrote.
$endgroup$
– Yuval Filmus
11 hours ago
$begingroup$
I'm sorry, I can't explain it any better than what I wrote.
$endgroup$
– Yuval Filmus
11 hours ago
$begingroup$
Thanks a lot Yuval, I’ll try to figure it out.
$endgroup$
– Jay
11 hours ago
$begingroup$
Thanks a lot Yuval, I’ll try to figure it out.
$endgroup$
– Jay
11 hours ago
add a comment |
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$begingroup$
The lecture notes contain a complete proof.
$endgroup$
– Yuval Filmus
13 hours ago
$begingroup$
I did not understand the algorithm completely to understand the proof itself.
$endgroup$
– Jay
12 hours ago