Is independence indpendent on measure?

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Discussion Overview

The discussion revolves around the concept of independence of sigma-algebras in measure theory, specifically whether two sigma-algebras can be independent under one measure but not under another. The scope includes theoretical aspects of measure theory and definitions related to independence.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions if two sigma-algebras could be independent under one measure but not under another.
  • Another participant requests a definition of independence in the context of measure theory, suggesting a lack of familiarity with the topic.
  • A further reply proposes that the question likely pertains to independence with respect to a probability measure, providing a formal definition involving the probability space and conditions for independence.
  • This participant illustrates the concept with an example involving two different measures on the same probability space, demonstrating that independence can vary between measures.

Areas of Agreement / Disagreement

The discussion includes multiple viewpoints regarding the definition and implications of independence under different measures, indicating that there is no consensus on the matter.

Contextual Notes

Participants express varying levels of familiarity with measure theory, and the discussion includes assumptions about definitions that may not be universally agreed upon.

tunaaa
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Is it possible that 2 sigma-algebras could be independent under one measure but not independent under another?

Many thanks.
 
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tunaaa said:
Is it possible that 2 sigma-algebras could be independent under one measure but not independent under another?

Many thanks.

Hey tunaaa and welcome to the forums.

I don't know much about measure theory so maybe you could give us the definition of independence for a measure. I've heard about decomposing measures into orthogonal parts but I don't think this is what you are asking about.
 
chiro said:
Hey tunaaa and welcome to the forums.

I don't know much about measure theory so maybe you could give us the definition of independence for a measure. I've heard about decomposing measures into orthogonal parts but I don't think this is what you are asking about.

He probably means independence wrt a probability measure. This is defined as follows: take a probability space [itex](\Omega,\mathcal{F},P)[/itex] and take [itex]\mathcal{B}_1[/itex] and [itex]\mathcal{B}_2[/itex] sigma-algebra's which are part of [itex]\mathcal{F}[/itex]. They are independent if for every [itex]B_1\in \mathcal{B}_1[/itex] and [itex]B_2\in \mathcal{B}_2[/itex] holds that

[tex]P(B_1\cap B_2)=P(B_1)P(B_2)[/tex]

Like the definition suggests, the measure P is critical here. If we have another measure on [itex](\Omega,\mathcal{F}[/itex], then independence must not hold.

For example, look at [itex](\Omega,\mathcal{F})=(\mathbb{N},\mathcal{P} (\mathbb{N}))[/itex] and take [itex]P_1[/itex] uniquely defined by [itex]P_1(\{0\})=1[/itex]. Further, take [itex]P_2[/itex] uniquely define by [itex]P_2(\{0\})=P_2(\{1\})=1/2[/itex].

Then {0} and {1} (which generate sigma-algebras) are independent for [itex]P_1[/itex], but dependent for [itex]P_2[/itex].
 
Many thanks
 

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