Predictable process: Difference between revisions

Content deleted Content added
The phrase "stochastic analysis" doesn't tell the lay reader that mathematics is what this is about.
No edit summary
 
(33 intermediate revisions by 25 users not shown)
Line 1:
In [[stochastic analysis]], a part of the mathematical theory of [[probability]], a '''predictable process''' is a [[stochastic process]] which thewhose value is knowable at a prior time. The predictable processes form the smallest class that is closed under taking limits of sequences and contains all [[Adapted process|adapted]] left -continuous processes.{{clarify|date=October 2011}}
 
== Mathematical definition ==
 
=== Discrete-time process ===
Given a [[filtered probability space]] <math>(\Omega,\mathcal{F},(\mathcal{F}_n)_{n \in \mathbb{N}},\mathbb{P})</math>, then a stochastic process <math>(X_n)_{n \in \mathbb{N}}</math> is ''predictable'' if <math>X_{n+1}</math> is [[measureablemeasurable function|measureablemeasurable]] with respect to the [[sigma algebra|&sigma;-algebra]] <math>\mathcal{F}_n</math> for each ''n''.<ref name="Zanten">{{cite web|title=An Introduction to Stochastic Processes in Continuous Time|authorfirst1=Harry |last1=van Zanten|date=November 8, 2004|url=http://www.cs.vu.nl/~rmeester/onderwijs/stochastic_processes/sp_new.pdf|format=pdf|accessdateaccess-date=October 14, 2011 |archive-url=https://web.archive.org/web/20120406084950/http://www.cs.vu.nl/~rmeester/onderwijs/stochastic_processes/sp_new.pdf |archive-date=April 6, 2012 |url-status=dead}}</ref>
 
=== Continuous-time process ===
Given a filtered probability space <math>(\Omega,\mathcal{F},(\mathcal{F}_t)_{t \geq 0},\mathbb{P})</math>, then a [[continuous-time stochastic process]] <math>(X_t)_{t \geq 0}</math> is ''predictable'' if <math>X_X</math>, considered as a mapping from <math>\Omega \times \mathbb{tR}_{+} </math>, is measureablemeasurable with respect to the &sigma;-algebra <math>\mathcal{F}_{t^-}</math>generated forby eachall timeleft-continuous ''t''adapted processes.<ref>{{cite web|title=Predictable processes: properties |url=http://www.math.ku.dk/~jesper/teaching/b108/slides38.pdf |format=pdf |accessdateaccess-date=October 15, 2011 |url-status=dead |archive-url=https://web.archive.org/web/20120331074812/http://www.math.ku.dk/~jesper/teaching/b108/slides38.pdf |archive-date=March 31, 2012 }}</ref>
This [[σ-algebra]] is also called the '''predictable σ-algebra'''.
 
== Examples ==
* Every [[deterministic system|deterministic process]] is a predictable process.{{citation needed|date=October 2011}}
* Every continuous-time adapted process that is [[left continuous]] is a predictable process.{{Citation needed|reason=A Wiener process has continuous paths and is not predictable.|date=May 2020}}
 
== See also ==
* [[Adapted process]]
* [[Martingale (probability theory)|Martingale]]
 
== References ==
{{Reflist}}
 
{{Stochastic processes}}
{{probability-stub}}
 
[[Category:Stochastic processes]]