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	<title>Open Problems in Sublinear Algorithms - User contributions [en]</title>
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		<id>https://sublinear.info/index.php?title=Open_Problems:80&amp;diff=1212</id>
		<title>Open Problems:80</title>
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		<updated>2019-01-26T16:34:58Z</updated>

		<summary type="html">&lt;p&gt;2601:84:8800:8F56:EDEF:4FE1:4DAC:D316: Changed to the correct definition of MA model that states to ensure communication cost *includes* the proof size.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{Header&lt;br /&gt;
|source=banff17&lt;br /&gt;
|who=Amit Chakrabarti&lt;br /&gt;
}}&lt;br /&gt;
We have a function $f:\mathcal{X}\times\mathcal{Y}\rightarrow\{0,1\}$.  In the Merlin–Arthur communication model, Alice gets an $x\in\mathcal{X}$ and Bob gets a $y\in\mathcal{Y}$.  Merlin is an all-knowing, all-powerful entity who sends them a proof at the beginning.  Then Alice and Bob communicate to find $f(x,y)$.  A protocol $\Pi$ solves $f$ if, for all $x,y$,&lt;br /&gt;
* $f(x,y) = 1 \implies \exists \text{ proof}: \Pr[\Pi(x,y,\text{ proof})=1] \ge 2/3$, and&lt;br /&gt;
* $f(x,y) = 0 \implies \forall \text{ proofs}: \Pr[\Pi(x,y,\text{ proof})=1] \le 1/3$.&lt;br /&gt;
We denote the communication complexity of $f$ in the above model as $\textrm{MA}^\rightarrow(f)$. The communication cost here includes the proof size.&lt;br /&gt;
It is known that $\textrm{MA}^\rightarrow(\mathbf{Disj}) = \tilde{O}(\sqrt{n})$ {{cite|AaronsonW-09}} and $\textrm{MA}^\rightarrow(\mathbf{InnerProd}) = \tilde{O}(\sqrt{n})$.&lt;br /&gt;
&lt;br /&gt;
For $x,y\in\{0,1\}^{\binom{n}{2}}$, interpreting $x$ and $y$ as edges of an $n$ vertex graph, define $\mathbf{Connect}$ as follows. If $x\cup y$ is connected, $\mathbf{Connect}(x,y) = 1$, else $\mathbf{Connect}(x,y)=0$.  Using the Ahn-Guha-McGregor {{cite|AhnGM-12}} linear sketch for connectivity, we can show that $D^\rightarrow(\mathbf{Connect}) = \tilde{O}(n)$, where $D^\rightarrow$ denotes one-way communication complexity (Alice sends one message to Bob, and there is no Merlin).&lt;br /&gt;
&lt;br /&gt;
Is $\textrm{MA}^\rightarrow(\mathbf{Connect}) = o(n)$?&lt;/div&gt;</summary>
		<author><name>2601:84:8800:8F56:EDEF:4FE1:4DAC:D316</name></author>
		
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