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	<title>Servo bandwidth - Revision history</title>
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	<updated>2026-08-25T03:46:05Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://en.formulasearchengine.com/w/index.php?title=Servo_bandwidth&amp;diff=27132&amp;oldid=prev</id>
		<title>en&gt;Conquerist: Disambiguated: bandwidth → bandwidth (signal processing)</title>
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		<updated>2013-04-19T13:22:02Z</updated>

		<summary type="html">&lt;p&gt;Disambiguated: &lt;a href=&quot;/w/index.php?title=Bandwidth&amp;amp;action=edit&amp;amp;redlink=1&quot; class=&quot;new&quot; title=&quot;Bandwidth (page does not exist)&quot;&gt;bandwidth&lt;/a&gt; → &lt;a href=&quot;/wiki/Bandwidth_(signal_processing)&quot; title=&quot;Bandwidth (signal processing)&quot;&gt;bandwidth (signal processing)&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;In [[stochastic analysis]], a part of the mathematical theory of [[probability]], a &amp;#039;&amp;#039;&amp;#039;predictable process&amp;#039;&amp;#039;&amp;#039; is a [[stochastic process]] whose value is knowable{{clarify|reason=meaning of knowable here|date=November 2011}} at a prior time.  The predictable processes form the smallest class{{clarify|reason=of what?|date=October 2011}} that is closed under taking limits of sequences and contains all [[Adapted process|adapted]] left-continuous processes{{clarify|reason=explain meaning of this phrase|date=October 2011}}.&lt;br /&gt;
&lt;br /&gt;
== Mathematical definition ==&lt;br /&gt;
=== Discrete-time process ===&lt;br /&gt;
Given a [[filtered probability space]] &amp;lt;math&amp;gt;(\Omega,\mathcal{F},(\mathcal{F}_n)_{n \in \mathbb{N}},\mathbb{P})&amp;lt;/math&amp;gt;, then a stochastic process &amp;lt;math&amp;gt;(X_n)_{n \in \mathbb{N}}&amp;lt;/math&amp;gt; is &amp;#039;&amp;#039;predictable&amp;#039;&amp;#039; if &amp;lt;math&amp;gt;X_{n+1}&amp;lt;/math&amp;gt; is [[measurable function|measurable]] with respect to the  [[sigma algebra|&amp;amp;sigma;-algebra]] &amp;lt;math&amp;gt;\mathcal{F}_n&amp;lt;/math&amp;gt; for each &amp;#039;&amp;#039;n&amp;#039;&amp;#039;.&amp;lt;ref name=&amp;quot;Zanten&amp;quot;&amp;gt;{{cite web|title=An Introduction to Stochastic Processes in Continuous Time|first1=Harry|last1=van Zanten|date=November 8, 2004|url=http://www.cs.vu.nl/~rmeester/onderwijs/stochastic_processes/sp_new.pdf|format=pdf|accessdate=October 14, 2011}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Continuous-time process ===&lt;br /&gt;
Given a filtered probability space &amp;lt;math&amp;gt;(\Omega,\mathcal{F},(\mathcal{F}_t)_{t \geq 0},\mathbb{P})&amp;lt;/math&amp;gt;, then a [[continuous-time stochastic process]] &amp;lt;math&amp;gt;(X_t)_{t \geq 0}&amp;lt;/math&amp;gt; is &amp;#039;&amp;#039;predictable&amp;#039;&amp;#039; if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;, considered as a mapping from &amp;lt;math&amp;gt;\Omega \times \mathbb{R}_+&amp;lt;/math&amp;gt;, is measurable with respect to the &amp;amp;sigma;-algebra generated by all left-continuous adapted processes.&amp;lt;ref&amp;gt;{{cite web|title=Predictable processes: properties|url=http://www.math.ku.dk/~jesper/teaching/b108/slides38.pdf|format=pdf|accessdate=October 15, 2011}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Examples ==&lt;br /&gt;
* Every [[deterministic system|deterministic process]] is a predictable process.{{cn|date=October 2011}}&lt;br /&gt;
* Every continuous-time process that is [[left continuous]] is a predictable process.{{cn|date=October 2011}}&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
* [[Adapted process]]&lt;br /&gt;
* [[Martingale (probability theory)|Martingale]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Stochastic processes]]&lt;br /&gt;
{{probability-stub}}&lt;/div&gt;</summary>
		<author><name>en&gt;Conquerist</name></author>
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