Do Sigma-Algebras Need to Include the Empty Set and Underlying Set?

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In summary: summary, a sigma algebra is a nonempty collection of sets that is closed under complements and countable unions. the empty set and the underlying set are automatically included in the sigma algebra, even if not explicitly stated in the definition.
  • #1
ghotra
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I had a quick question concerning the definition of a [itex]\sigma[/itex]-algebra [itex]\mathcal{F}[/itex] over a set [itex]\Omega[/itex]. Most sources I've seen (e.g. http://en.wikipedia.org/wiki/Sigma-algebra ) require that [itex]\Omega[/itex] or the empty set be an element of [itex]\mathcal{F}[/itex].

Is this necessary? I ask because I am looking at "Probability: Theory and Examples" by Durrett, and he does not state that as a requirement. He only requires that an element's complement be in [itex]\mathcal{F}[/itex] and that countable (possibly infinite) unions of elements (in the set) remain in the set. Additionally, he says that [itex]\mathcal{F} \neq \emptyset[/itex], but this does not necessarily imply that the empty set is in [itex]\mathcal{F}[/itex].

So, has Durrett just forgotten to include this? Do his later results assume this requirement? Or is it the case this is an unnecessary requirement?
 
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  • #2
Specifically, he states:

if [itex]A_i \in \mathcal{F}[/itex] is a countable sequence of sets then [itex]\cup_i A_i \in \mathcal{F}[/itex]

I think this is my answer. Let the sequence consist of only the set [itex]\mathcal{F}[/itex]. Then [itex]\mathcal{F}[/itex] (and hence the empty set as well) is in [itex]\mathcal{F}[/itex].

Correct?
 
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  • #3
ghotra said:
I had a quick question concerning the definition of a [itex]\sigma[/itex]-algebra [itex]\mathcal{F}[/itex] over a set [itex]\Omega[/itex]. Most sources I've seen (e.g. http://en.wikipedia.org/wiki/Sigma-algebra ) require that [itex]\Omega[/itex] or the empty set be an element of [itex]\mathcal{F}[/itex].

Is this necessary? I ask because I am looking at "Probability: Theory and Examples" by Durrett, and he does not state that as a requirement. He only requires that an element's complement be in [itex]\mathcal{F}[/itex] and that countable (possibly infinite) unions of elements (in the set) remain in the set. Additionally, he says that [itex]\mathcal{F} \neq \emptyset[/itex], but this does not necessarily imply that the empty set is in [itex]\mathcal{F}[/itex].

So, has Durrett just forgotten to include this? Do his later results assume this requirement? Or is it the case this is an unnecessary requirement?

let [itex]\mathcal{F}[/itex] be a sigma algebra over a set [itex]\Omega[/itex]
since [itex]\mathcal{F}[/itex] in noempty there exists an [itex]A\in\mathcal{F}[/itex] since [itex]\mathcal{F}[/itex] is a sigma algebra [itex]A^c\in\mathcal{F}[/itex] and [itex]A\bigcup A^c=\Omega\in\mathcal{F}[/itex]
 
  • #4
a sigma algebra R on a set X is a nonempty collection of sets satisfying the following:
i) R closed under complements
ii) R closed under countable unions
& that's all

we can derive the fact that the set X on which the algebra is defined, is in R and also the empty set. the empty set is in every sigma algebra because if E is in R, then E\E (=empty set) is in R since R is closed under complementation. also E union E' = X is also in R. so no, the definition doesn't need to include anything about the empty set or the underlying set X is in the algebra.
 

FAQ: Do Sigma-Algebras Need to Include the Empty Set and Underlying Set?

What is a sigma-algebra?

A sigma-algebra is a mathematical concept used in measure theory and probability to describe a collection of sets that have certain properties. It is also known as a sigma-field or a Borel field.

What are the properties of a sigma-algebra?

A sigma-algebra must have three key properties: closure under countable unions, closure under complements, and containing the empty set. This means that if a set is in the sigma-algebra, its complement and any countable union of sets in the sigma-algebra must also be in the sigma-algebra.

What is the significance of a sigma-algebra in probability?

In probability theory, a sigma-algebra is used to define the concept of a measurable space, which is necessary for defining probability measures. A sigma-algebra also helps to determine which events are measurable in a given probability space.

How is a sigma-algebra different from a sigma-algebra?

A sigma-algebra is a more general concept than a sigma-algebra, as it allows for uncountable unions, whereas a sigma-algebra only allows for countable unions. Additionally, a sigma-algebra may not necessarily contain the empty set or be closed under complements, unlike a sigma-algebra.

What are some examples of sigma-algebras?

Examples of sigma-algebras include the Borel sigma-algebra, which is the smallest sigma-algebra containing all open intervals on the real line, and the power set of a given set, which is the sigma-algebra consisting of all subsets of that set.

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