Are F-measurable functions 1-to1?

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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.