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	<title>Enumerative geometry - Revision history</title>
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		<title>en&gt;Daswerth at 13:34, 13 November 2013</title>
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		<updated>2013-11-13T13:34:43Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;A &amp;#039;&amp;#039;&amp;#039;nat &amp;#039;&amp;#039;&amp;#039;  (sometimes also &amp;#039;&amp;#039;&amp;#039;nit &amp;#039;&amp;#039;&amp;#039; or &amp;#039;&amp;#039;&amp;#039;nepit&amp;#039;&amp;#039;&amp;#039;) is a [[logarithmic unit]] of [[information]] or [[information entropy|entropy]], based on [[natural logarithms]] and powers of [[e (mathematical constant)|&amp;#039;&amp;#039;e&amp;#039;&amp;#039;]], rather than the powers of 2 and [[binary logarithm|base 2 logarithms]] which define the [[bit]]. The &amp;#039;&amp;#039;nat &amp;#039;&amp;#039;  is the [[natural unit]] for information entropy. Physical systems of natural units which normalize [[Boltzmann&amp;#039;s constant]]  to 1 are effectively measuring [[entropy|thermodynamic entropy]] in nats.&lt;br /&gt;
&lt;br /&gt;
When the [[Shannon entropy]] is written using a natural logarithm,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; H = - \sum_i p_i \ln p_i \!\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
it is implicitly giving a number measured in &amp;#039;&amp;#039;nats&amp;#039;&amp;#039;.&lt;br /&gt;
&lt;br /&gt;
One nat is equal to 1/([[Natural logarithm|ln]]2) [[shannon (unit)|shannons]] ≈ 1.44 Sh   or, equivalently, 1/(ln10) [[hartley (unit)|hartleys]] ≈ 0.434   Hart.&amp;lt;ref&amp;gt;{{cite web|title=IEC 80000-13:2008|url=http://www.iso.org/iso/catalogue_detail?csnumber=31898|publisher=[[International Electrotechnical Commission]]|accessdate=21 July 2013}}&amp;lt;/ref&amp;gt;  The factors 1.44 and 0.434 arise from the relationships&lt;br /&gt;
:&amp;lt;math&amp;gt;\left (2^x=e^1\Rightarrow x=\tfrac{1}{\ln 2}\right )&amp;lt;/math&amp;gt;, and&lt;br /&gt;
:&amp;lt;math&amp;gt;\left (10^x=e^1\Rightarrow x=\tfrac{1}{\ln 10}\right )&amp;lt;/math&amp;gt;.&lt;br /&gt;
One nat is the information content of an event if the probability of that event occurring is 1/[[E (mathematical constant)|e]].&lt;br /&gt;
&lt;br /&gt;
==History==&lt;br /&gt;
[[Alan Turing]] used the &amp;#039;&amp;#039;natural [[ban (information)|ban]]&amp;#039;&amp;#039; (Hodges 1983, &amp;#039;&amp;#039;Alan Turing: The Enigma&amp;#039;&amp;#039;). Boulton and [[Chris Wallace (computer scientist)|Wallace]] (1970) used the term &amp;#039;&amp;#039;nit&amp;#039;&amp;#039; in conjunction with [[minimum message length]] which was subsequently changed by the [[minimum description length]] community to &amp;#039;&amp;#039;nat&amp;#039;&amp;#039; to avoid confusion with the [[nit (unit)|nit]] used as a unit of [[luminance]] ([http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html#ComleyDowe2005 Comley and Dowe, 2005], [http://www.csse.monash.edu.au/~dld/Publications/2005/ComleyDowe2005MMLGeneralizedBayesianNetsAsymmetricLanguages_p271.jpg sec. 11.4.1, p271]).&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
*{{Cite book |first=J. W. |last=Comley |lastauthoramp=yes |first2=D. L. |last2=Dowe |chapterurl=http://www.csse.monash.edu.au/~dld/David.Dowe.publications.html#ComleyDowe2005 |chapter=Minimum Message Length, MDL and Generalised Bayesian Networks with Asymmetric Languages |editor1-first=P. |editor1-last=Grünwald |editor2-first=I. J. |editor2-last=Myung |editor3-first=M. A. |editor3-last=Pitt |url=http://mitpress.mit.edu/catalog/item/default.asp?sid=4C100C6F-2255-40FF-A2ED-02FC49FEBE7C&amp;amp;ttype=2&amp;amp;tid=10478 |title=Advances in Minimum Description Length: Theory and Applications |location=Cambridge |publisher=MIT Press |isbn=0-262-07262-9 |year=2005 }}&lt;br /&gt;
*{{Cite book |first=Fazlollah M. |last=Reza |title=An Introduction to Information Theory |location=New York |publisher=Dover |year=1994 |isbn=0-486-68210-2 }}&lt;br /&gt;
{{reflist}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Units of information]]&lt;/div&gt;</summary>
		<author><name>en&gt;Daswerth</name></author>
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