Are F-measurable functions 1-to1?

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Discussion Overview

The discussion revolves around the properties of F-measurable functions defined on a probability space, specifically addressing whether such functions can be one-to-one and the nature of the mapping from Borel sets to subsets of the σ-algebra F. Participants express confusion regarding the implications of these properties in the context of probability theory.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants question whether the function f:Ω→ℝ can be one-to-one.
  • One participant asserts that f^{-1}(B) is merely a preimage and does not imply that f is invertible.
  • Another participant suggests that the mapping from Borel sets to elements of F should be considered in terms of mutual exclusivity and collective exhaustiveness.
  • It is noted that f^{-1}(B) and f^{-1}(B') may not be disjoint unless B and B' are disjoint.
  • Participants discuss whether elements of the field F, which constitute a probability measure, must be mutually disjoint.
  • One participant confirms that elements of F are not necessarily disjoint.

Areas of Agreement / Disagreement

Participants express differing views on the one-to-one nature of F-measurable functions and the properties of the mapping from Borel sets to subsets of F. There is no consensus on these issues, and multiple competing views remain.

Contextual Notes

The discussion highlights the potential for confusion regarding the definitions and properties of F-measurable functions and their implications in probability theory, particularly concerning the nature of mappings and the relationships between sets.

lahanadar
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Hi everybody. Can anyone help me to clarify these things? The definition of F-measurable function is as this:

f:Ω→ℝ defined on (Ω,F,P) probability space is F-measurable if f-1(B)={ω∈Ω: f(ω)∈B} ∈ F for all B∈B(ℝ)

where B(ℝ) is Borel field over ℝ and B is any Borel subset of the Borel field.

My confusions are:

1-Is the function f:Ω→ℝ 1-to-1?
2-Is f-1(B):B(ℝ)→F mapping to mutually exclusive and collectively exhaustive subsets of F?

Thank you for any contributions.
 
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lahanadar said:
Hi everybody. Can anyone help me to clarify these things? The definition of F-measurable function is as this:

f:Ω→ℝ defined on (Ω,F,P) probability space is F-measurable if f-1(B)={ω∈Ω: f(ω)∈B} ∈ F for all B∈B(ℝ)

where B(ℝ) is Borel field over ℝ and B is any Borel subset of the Borel field.

My confusions are:

1-Is the function f:Ω→ℝ 1-to-1?

No, not necessarily. The [itex]f^{-1}(B)[/itex] is just an (unfortunate) notation for the preimage and has nothing to do here with the inverse of f (which does not exist necessarily).

2-Is f-1(B):B(ℝ)→F mapping to mutually exclusive and collectively exhaustive subsets of F?

But [itex]f^{-1}(B)[/itex] is a set, not a map.
 
The word mapping could be wrong maybe. I mean any Borel set in real line should go to the an element of the field F (an element is any subset of Ω). What I wonder is if that elements of the field F, that are assigned by Borel sets from real line, should be mutually exclusive and collectively exhaustive?
 
Not necessarily. It's not necessarily true that [itex]f^{-1}(B)\cap f^{-1}(B^\prime)=\emptyset[/itex]. It is true if [itex]B\cap B^\prime=\emptyset[/itex] though.

Likewise, if [itex]\bigcup_{i\in I}B_i=\mathbb{R}[/itex], then [itex]\bigcup_{i\in I} f^{-1}(B_i)=\Omega[/itex].
 
I see now, thank you for help. From this point, should I also assume that the field F to constitute a probability measure P:F→[0,1] have elements (subsets of Ω) which are not necessarily mutually disjoint?
 
lahanadar said:
I see now, thank you for help. From this point, should I also assume that the field F to constitute a probability measure P:F→[0,1] have elements (subsets of Ω) which are not necessarily mutually disjoint?

Right. In general, elements of [itex]\mathcal{F}[/itex] are not necessarily disjoint.
 

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