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	<id>https://sublinear.info/index.php?action=history&amp;feed=atom&amp;title=Open_Problems%3A75</id>
	<title>Open Problems:75 - Revision history</title>
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	<updated>2026-04-22T20:13:26Z</updated>
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	<entry>
		<id>https://sublinear.info/index.php?title=Open_Problems:75&amp;diff=1060&amp;oldid=prev</id>
		<title>Krzysztof Onak: Typo + formatting</title>
		<link rel="alternate" type="text/html" href="https://sublinear.info/index.php?title=Open_Problems:75&amp;diff=1060&amp;oldid=prev"/>
		<updated>2017-04-28T01:23:22Z</updated>

		<summary type="html">&lt;p&gt;Typo + formatting&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 01:23, 28 April 2017&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l6&quot; &gt;Line 6:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 6:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Input is an $n \times n$ boolean matrix $M$.&amp;#160; We can preprocess $M$ and store a data structure. Then on query $v$, an $n$ bit vector, we need to output $Mv$, which is matrix multiplication with $\cdot$ replaced by $\wedge$ and $+$ replaced by $\vee$.&amp;#160; The preprocessing time is denoted by $t_p$ and query time is denoted by $t_q$.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Input is an $n \times n$ boolean matrix $M$.&amp;#160; We can preprocess $M$ and store a data structure. Then on query $v$, an $n$ bit vector, we need to output $Mv$, which is matrix multiplication with $\cdot$ replaced by $\wedge$ and $+$ replaced by $\vee$.&amp;#160; The preprocessing time is denoted by $t_p$ and query time is denoted by $t_q$.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;It is conjectured that in the word-RAM model, $t_p + nt_q \ge n^{3-o(1)}$.&amp;#160; But in the cell-probe model, Larsen and &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;Willimas &lt;/del&gt;{{cite|LarsenW-17}} give a data structure that uses space $n^2 + n^{7/4}\sqrt{w}$, i.e., just $n^{7/4}\sqrt{w}$ extra bits, where $w$ is the word size (which is typically $\Theta(\log n)$).&amp;#160; The data structure computes $Mv$ using $t_q = n^{7/4}/\sqrt{w}$ probes in the worst case.&amp;#160; Such a data structure that stores only a small amount of extra bits is called a ''succinct'' data structure.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;It is conjectured that in the word-RAM model, $t_p + nt_q \ge n^{3-o(1)}$.&amp;#160; But in the cell-probe model, Larsen and &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Williams &lt;/ins&gt;{{cite|LarsenW-17}} give a data structure that uses space $n^2 + n^{7/4}\sqrt{w}$, i.e., just $n^{7/4}\sqrt{w}$ extra bits, where $w$ is the word size (which is typically $\Theta(\log n)$).&amp;#160; The data structure computes $Mv$ using $t_q = n^{7/4}/\sqrt{w}$ probes in the worst case.&amp;#160; Such a data structure that stores only a small amount of extra bits is called a ''succinct'' data structure.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Question &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;is, can &lt;/del&gt;we show a lower bound of $\omega(n)$ on $t_q$ in the cell-probe model for succinct data structures?&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;'''&lt;/ins&gt;Question&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;:''' Can &lt;/ins&gt;we show a lower bound of $\omega(n)$ on $t_q$ in the cell-probe model for succinct data structures?&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;references /&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;references /&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Krzysztof Onak</name></author>
		
	</entry>
	<entry>
		<id>https://sublinear.info/index.php?title=Open_Problems:75&amp;diff=1034&amp;oldid=prev</id>
		<title>Blackc4 at 00:36, 2 April 2017</title>
		<link rel="alternate" type="text/html" href="https://sublinear.info/index.php?title=Open_Problems:75&amp;diff=1034&amp;oldid=prev"/>
		<updated>2017-04-02T00:36:56Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 00:36, 2 April 2017&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l6&quot; &gt;Line 6:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 6:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Input is an $n \times n$ boolean matrix $M$.&amp;#160; We can preprocess $M$ and store a data structure. Then on query $v$, an $n$ bit vector, we need to output $Mv$, which is matrix multiplication with $\cdot$ replaced by $\wedge$ and $+$ replaced by $\vee$.&amp;#160; The preprocessing time is denoted by $t_p$ and query time is denoted by $t_q$.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Input is an $n \times n$ boolean matrix $M$.&amp;#160; We can preprocess $M$ and store a data structure. Then on query $v$, an $n$ bit vector, we need to output $Mv$, which is matrix multiplication with $\cdot$ replaced by $\wedge$ and $+$ replaced by $\vee$.&amp;#160; The preprocessing time is denoted by $t_p$ and query time is denoted by $t_q$.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;It is conjectured that in the word-RAM model, $t_p + nt_q \ge n^{3-o(1)}$.&amp;#160; But in the cell-probe model, Larsen and Willimas {{cite|LarsenW-17}} give a data structure that uses space $n^2 + n^{7/4}\sqrt{w}$, i.e., just $n^{7/4}\sqrt{w}$ extra bits, where $w$ is the word size (which is typically $\Theta(\log n)$).&amp;#160; The data structure computes $Mv$ using $t_q = n^{7/4}/\sqrt{w}$ probes in the worst case.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;It is conjectured that in the word-RAM model, $t_p + nt_q \ge n^{3-o(1)}$.&amp;#160; But in the cell-probe model, Larsen and Willimas {{cite|LarsenW-17}} give a data structure that uses space $n^2 + n^{7/4}\sqrt{w}$, i.e., just $n^{7/4}\sqrt{w}$ extra bits, where $w$ is the word size (which is typically $\Theta(\log n)$).&amp;#160; The data structure computes $Mv$ using $t_q = n^{7/4}/\sqrt{w}$ probes in the worst case&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;.&amp;#160; Such a data structure that stores only a small amount of extra bits is called a ''succinct'' data structure&lt;/ins&gt;.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Question is, can we show a lower bound of $\omega(n)$ on $t_q$ in the cell-probe model?&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Question is, can we show a lower bound of $\omega(n)$ on $t_q$ in the cell-probe model &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;for succinct data structures&lt;/ins&gt;?&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;references /&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;references /&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Blackc4</name></author>
		
	</entry>
	<entry>
		<id>https://sublinear.info/index.php?title=Open_Problems:75&amp;diff=1026&amp;oldid=prev</id>
		<title>Blackc4 at 22:31, 1 April 2017</title>
		<link rel="alternate" type="text/html" href="https://sublinear.info/index.php?title=Open_Problems:75&amp;diff=1026&amp;oldid=prev"/>
		<updated>2017-04-01T22:31:51Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 22:31, 1 April 2017&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l6&quot; &gt;Line 6:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 6:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Input is an $n \times n$ boolean matrix $M$.&amp;#160; We can preprocess $M$ and store a data structure. Then on query $v$, an $n$ bit vector, we need to output $Mv$, which is matrix multiplication with $\cdot$ replaced by $\wedge$ and $+$ replaced by $\vee$.&amp;#160; The preprocessing time is denoted by $t_p$ and query time is denoted by $t_q$.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Input is an $n \times n$ boolean matrix $M$.&amp;#160; We can preprocess $M$ and store a data structure. Then on query $v$, an $n$ bit vector, we need to output $Mv$, which is matrix multiplication with $\cdot$ replaced by $\wedge$ and $+$ replaced by $\vee$.&amp;#160; The preprocessing time is denoted by $t_p$ and query time is denoted by $t_q$.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;It is conjectured that in the word-RAM model, $t_p + nt_q \ge n^{3-o(1)}$.&amp;#160; But in the cell-probe model, Larsen and Willimas {{cite|&lt;del class=&quot;diffchange diffchange-inline&quot;&gt;LW&lt;/del&gt;-17}} give a data structure that uses space $n^2 + n^{7/4}\sqrt{w}$, i.e., just $n^{7/4}\sqrt{w}$ extra bits, where $w$ is the word size (which is typically $\Theta(\log n)$).&amp;#160; The data structure computes $Mv$ using $t_q = n^{7/4}/\sqrt{w}$ probes in the worst case.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;It is conjectured that in the word-RAM model, $t_p + nt_q \ge n^{3-o(1)}$.&amp;#160; But in the cell-probe model, Larsen and Willimas {{cite|&lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;LarsenW&lt;/ins&gt;-17}} give a data structure that uses space $n^2 + n^{7/4}\sqrt{w}$, i.e., just $n^{7/4}\sqrt{w}$ extra bits, where $w$ is the word size (which is typically $\Theta(\log n)$).&amp;#160; The data structure computes $Mv$ using $t_q = n^{7/4}/\sqrt{w}$ probes in the worst case.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Question is, can we show a lower bound of $\omega(n)$ on $t_q$ in the cell-probe model?&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Question is, can we show a lower bound of $\omega(n)$ on $t_q$ in the cell-probe model?&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Blackc4</name></author>
		
	</entry>
	<entry>
		<id>https://sublinear.info/index.php?title=Open_Problems:75&amp;diff=1004&amp;oldid=prev</id>
		<title>Blackc4: Created page with &quot;{{Header |source=banff17 |who=Kasper Green Larsen }}  Input is an $n \times n$ boolean matrix $M$.  We can preprocess $M$ and store a data structure. Then on query $v$, an $n$...&quot;</title>
		<link rel="alternate" type="text/html" href="https://sublinear.info/index.php?title=Open_Problems:75&amp;diff=1004&amp;oldid=prev"/>
		<updated>2017-03-31T17:53:40Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;{{Header |source=banff17 |who=Kasper Green Larsen }}  Input is an $n \times n$ boolean matrix $M$.  We can preprocess $M$ and store a data structure. Then on query $v$, an $n$...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Header&lt;br /&gt;
|source=banff17&lt;br /&gt;
|who=Kasper Green Larsen&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
Input is an $n \times n$ boolean matrix $M$.  We can preprocess $M$ and store a data structure. Then on query $v$, an $n$ bit vector, we need to output $Mv$, which is matrix multiplication with $\cdot$ replaced by $\wedge$ and $+$ replaced by $\vee$.  The preprocessing time is denoted by $t_p$ and query time is denoted by $t_q$.&lt;br /&gt;
&lt;br /&gt;
It is conjectured that in the word-RAM model, $t_p + nt_q \ge n^{3-o(1)}$.  But in the cell-probe model, Larsen and Willimas {{cite|LW-17}} give a data structure that uses space $n^2 + n^{7/4}\sqrt{w}$, i.e., just $n^{7/4}\sqrt{w}$ extra bits, where $w$ is the word size (which is typically $\Theta(\log n)$).  The data structure computes $Mv$ using $t_q = n^{7/4}/\sqrt{w}$ probes in the worst case.&lt;br /&gt;
&lt;br /&gt;
Question is, can we show a lower bound of $\omega(n)$ on $t_q$ in the cell-probe model?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Blackc4</name></author>
		
	</entry>
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