Is Every Element of a Sigma-Algebra Generated by a Countable Subcollection?

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In summary, the conversation discusses the definition of a sigma-algebra and how it relates to sets and elements. The conversation mentions the use of de Morgan's laws and a countability assumption in the definition. A link to a reliable source with more information on the topic is also provided.
  • #1
fourier jr
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Here's what it says:

"Let C be a collection of sets & E an element in the sigma-algebra generated by C. Then there is a countable subcollection C_0 contained in C such that E is an element of the sigma-algebra A_0 generated by C_0."
 
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  • #2
i suggest recalling the definition of a sigma algebra.

i.e. for analogy, if A is a polynomial ring generated by a set S, and E is an element of A, then there is a finite subset T of S such that E belongs to the polynomial algebra generated by T.
 
  • #3
here's my definition:
i) empty set is in C
ii) if a set is in C then so is its complement
iii) if a collection of sets is in C then so is the union of all those sets

i guess with de morgan's laws intersections of sets are also in there, but I'm not sure how that helps.
 
  • #4
well it has been over 4 decades for me, but i do not recall your dfiniton as being corrct for sigma algebras. I think there is a countability assumption in there on those unions.

you might check it. yeah, here is what I googled up:

http://mathworld.wolfram.com/Sigma-Algebra.html
 

FAQ: Is Every Element of a Sigma-Algebra Generated by a Countable Subcollection?

What is sigma-algebra and why is it important in probability?

Sigma-algebra is a mathematical concept that defines a collection of subsets of a given set. In probability theory, it is used to describe the set of all possible outcomes or events in a particular experiment or scenario. It is important because it allows us to define and analyze the probability of events, which is essential in making predictions and decisions.

How do you determine if a set is a sigma-algebra?

A set is considered a sigma-algebra if it satisfies three properties: it contains the entire sample space, it is closed under complements (if A is in the set, then the complement of A is also in the set), and it is closed under countable unions (if A1, A2, A3, ... are in the set, then their union is also in the set).

Can you give an example of a sigma-algebra?

One example of a sigma-algebra is the power set of a given set. The power set is the set of all possible subsets of a given set. It satisfies the three properties mentioned above and is commonly used in probability theory.

How is sigma-algebra related to events and probability?

Sigma-algebra is closely related to events and probability because it provides a framework for defining and analyzing these concepts. Events can be represented as subsets of the sample space, and the probability of an event can be calculated based on the properties of the sigma-algebra.

Can you explain the concept of sigma-algebra in simple terms?

Sigma-algebra is a mathematical concept that helps us define and analyze events and their probabilities. It is a collection of subsets of a given set that satisfies certain properties, and it is an essential tool in probability theory for making predictions and decisions.

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